Posts Tagged physical activity

[TED Talk] The Brain-Changing Effects of Exercise

What’s the most transformative thing that you can do for your brain today? Exercise! says neuroscientist Wendy Suzuki. Get inspired to go to the gym as Suzuki discusses the science of how working out boosts your mood and memory — and protects your brain against neurodegenerative diseases like Alzheimer’s.

This talk was presented at an official TED conference, and was featured by our editors on the home page.

ABOUT THE SPEAKER
Wendy Suzuki · Neuroscientist, author Wendy Suzuki is researching the science behind the extraordinary, life-changing effects that physical activity can have on the most important organ in your body: your brain.

Transcript

03:54
05:02
07:13
09:41
11:13
12:12
12:43
12:46
12:47

via The Brain-Changing Effects of Exercise

, , , , , ,

Leave a comment

[Abstract + References] Epilepsy, Physical Activity and Sports: A Narrative Review

Abstract

People with epilepsy (PWE) are less physically active compared with the general population. Explanations include prejudice, overprotection, unawareness, stigma, fear of seizure induction and lack of knowledge of health professionals. At present, there is no consensus on the role of exercise in epilepsy. This paper reviews the current evidence surrounding the risks and benefits associated with physical activity (PA) in this group of patients. In the last decade, several publications indicate significant benefits in physiological and psychological health parameters, including mood and cognition, physical conditioning, social interaction, quality of life, as well as potential prevention of seizure presentation. Moreover, experimental studies suggest that PA provides mechanisms of neuronal protection, related to biochemical and structural changes including release of β-endorphins and steroids, which may exert an inhibitory effect on the occurrence of abnormal electrical activity. Epileptic discharges can decrease or disappear during exercise, which may translate into reduced seizure recurrence. In some patients, exercise may precipitate seizures. Available evidence suggests that PA should be encouraged in PWE in order to promote wellbeing and quality of life. There is a need for prospective randomized controlled studies that provide stronger clinical evidence before definitive recommendations can be made.

References

1. World Health Organization. Epilepsy Fact sheet: Bulletin 999 2017 [cited 2017 December 5]. Available at:http://www.who.int/mediacentre/factsheets/fs999/en/.Google Scholar
2. RaiDKerrMPMcManusSJordanovaVLewisGBrughaTSEpilepsy and psychiatric comorbidity—a nationally representative population-based study: epilepsy and psychiatric morbidityEpilepsia2012;53(6):10951103.CrossRef | Google Scholar
3. AridaRMScorzaFACavalheiroEAPeruccaEMoshéSLCan people with epilepsy enjoy sports? Epilepsy Res.2012;98(1):9495.CrossRef | Google Scholar | PubMed
4. NakkenKOLøyningALøyningTGløersenGLarssonPGDoes physical exercise influence the occurrence of epileptiform EEG discharges in children? Epilepsia1997;38(3):279284.CrossRef | Google Scholar | PubMed
5. EomSLeeMKParkJ-Het alThe impact of an exercise therapy on psychosocial health of children with benign epilepsy: a pilot studyEpilepsy Behav2014;37:151156.CrossRef | Google Scholar | PubMed
6. AridaRMImpact of physical exercise therapy on behavioral and psychosocial aspects of epilepsyEpilepsy Behav.2014;40:9091.CrossRef | Google Scholar | PubMed
7. AridaRMScorzaFAda SilvaSGSchachterSCCavalheiroEAThe potential role of physical exercise in the treatment of epilepsyEpilepsy Behav2010;17(4):432435.CrossRef | Google Scholar | PubMed
8. CapovillaGKaufmanKRPeruccaEMoshéSLAridaRMEpilepsy, seizures, physical exercise, and sports: a report from the ILAE Task Force on sports and epilepsyEpilepsia2016;57(1):612.CrossRef | Google Scholar | PubMed
9. ElliottJOMooreJLLuBHealth status and behavioral risk factors among persons with epilepsy in Ohio based on the 2006 Behavioral Risk Factor Surveillance SystemEpilepsy Behav2008;12(3):434444.CrossRef | Google Scholar | PubMed
10. NakkenKOPhysical exercise in outpatients with epilepsyEpilepsia1999;40(5):643651.CrossRef | Google Scholar | PubMed
11. AblahEHaugAKondaKet alExercise and epilepsy: a survey of Midwest epilepsy patientsEpilepsy Behav.2009;14(1):162166.CrossRef | Google Scholar | PubMed
12. SteinhoffBJNeusüssKThegederHReimersCDLeisure time activity and physical fitness in patients with epilepsy.Epilepsia1996;37(12):12211227.CrossRef | Google Scholar | PubMed
13. AridaRMScorzaFAde AlbuquerqueMCysneirosRMde OliveiraRJCavalheiroEAEvaluation of physical exercise habits in Brazilian patients with epilepsyEpilepsy Behav2003;4(5):507510.CrossRef | Google Scholar | PubMed
14. HanKChoi-KwonSLeeS-KLeisure time physical activity in patients with epilepsy in Seoul, South KoreaEpilepsy Behav2011;20(2):321325.CrossRef | Google Scholar | PubMed
15. HinnellCWilliamsJMetcalfeAet alHealth status and health-related behaviors in epilepsy compared to other chronic conditions—a national population-based study: health status and behaviors in epilepsyEpilepsia2010;51(5):853861.CrossRef | Google Scholar | PubMed
16. CuiWZackMMKobauRHelmersSLHealth behaviors among people with epilepsy—results from the 2010 National Health Interview SurveyEpilepsy Behav2015;44:121126.CrossRef | Google Scholar | PubMed
17. WongJWirrellEPhysical activity in children/teens with epilepsy compared with that in their siblings without epilepsyEpilepsia2006;47(3):631639.CrossRef | Google Scholar | PubMed
18. SaengsuwanJBoonyaleepanSTiamkaoSDiet, exercise, sleep, sexual activity, and perceived stress in people with epilepsy in NE ThailandEpilepsy Behav2015;45:3943.CrossRef | Google Scholar | PubMed
19. ChongJKudrimotiHSLopezDCLabinerDMBehavioral risk factors among Arizonans with epilepsy: Behavioral Risk Factor Surveillance System 2005/2006Epilepsy Behav2010;17(4):511519.CrossRef | Google Scholar | PubMed
20. JalavaMSillanpääMPhysical activity, health-related fitness, and health experience in adults with childhood-onset epilepsy: a controlled studyEpilepsia1997;38(4):424429.CrossRef | Google Scholar | PubMed
21. ElliottJOLuBMooreJLMcAuleyJWLongLExercise, diet, health behaviors, and risk factors among persons with epilepsy based on the California Health Interview Survey, 2005Epilepsy Behav2008;13(2):307315.CrossRef | Google Scholar | PubMed
22. GordonKEDooleyJMBrnaPMEpilepsy and activity—a population-based study: epilepsy and activityEpilepsia.2010;51(11):22542259.CrossRef | Google Scholar | PubMed
23. EppsSAKahnABHolmesPVBoss-WilliamsKAWeissJMWeinshenkerDAntidepressant and anticonvulsant effects of exercise in a rat model of epilepsy and depression comorbidityEpilepsy Behav2013;29(1):4752.CrossRef | Google Scholar
24. LernerJTSankarRMazaratiAMGalanin and epilepsyEXS2010;102:183194.Google Scholar | PubMed
25. BabyakMBlumenthalJAHermanSet alExercise treatment for major depression: maintenance of therapeutic benefit at 10 monthsPsychosom Med2000;62(5):633638.CrossRef | Google Scholar | PubMed
26. GuptaRAggarwalAExercise and rheumatoid arthritis: a low-cost intervention with major benefitsNatl Med J India.2015;28(3):132133.Google Scholar | PubMed
27. WestergrenTFegranLNilsenTHaraldstadKKittangOBBerntsenSActive play exercise intervention in children with asthma: a pilot studyBMJ Open2016;6(1):e009721.CrossRef | Google Scholar | PubMed
28. HaxhiJLetoGdi PalumboASet alExercise at lunchtime: effect on glycemic control and oxidative stress in middle-aged men with type 2 diabetesEur J Appl Physiol2016;116(3):573582.CrossRef | Google Scholar | PubMed
29. de LimaCde LiraCABAridaRMet alAssociation between leisure time, physical activity, and mood disorder levels in individuals with epilepsyEpilepsy Behav2013;28(1):4751.CrossRef | Google Scholar | PubMed
30. McAuleyJWLongLHeiseJet alA prospective evaluation of the effects of a 12-week outpatient exercise program on clinical and behavioral outcomes in patients with epilepsyEpilepsy Behav2001;2(6):592600.CrossRef | Google Scholar | PubMed
31. RothDLGoodeKTWilliamsVLFaughtEPhysical exercise, stressful life experience, and depression in adults with epilepsyEpilepsia1994;35(6):12481255.CrossRef | Google Scholar | PubMed
32. GötzeWKubickiSMunterMTeichmannJEffect of physical exercise on seizure threshold (investigated by electroencephalographic telemetry)Dis Nerv Syst1967;28(10):664667.Google Scholar
33. HorydWGryziakJNiedzielskaKZielińskiJJEffect of physical exertion on seizure discharges in the EEG of epilepsy patientsNeurol Neurochir Pol1981;15(5–6):545552.Google Scholar | PubMed
34. VanciniRLde LiraCABScorzaFAet alCardiorespiratory and electroencephalographic responses to exhaustive acute physical exercise in people with temporal lobe epilepsyEpilepsy Behav2010;19(3):504508.CrossRef | Google Scholar | PubMed
35. De LimaCVanciniRLAridaRMet alPhysiological and electroencephalographic responses to acute exhaustive physical exercise in people with juvenile myoclonic epilepsyEpilepsy Behav2011;22:718722.CrossRef | Google ScholarPubMed
36. Engel – YegerBZlotnikSShaharEChildhood-onset primary generalized epilepsy—impacts on children’s preferences for participation in out-of-school activitiesEpilepsy Behav2014;34(1):15.CrossRef | Google Scholar | PubMed
37. FerlisiMShorvonSSeizure precipitants (triggering factors) in patients with epilepsyEpilepsy Behav2014;33:101105.CrossRef | Google Scholar
38. CamfieldCCamfieldPInjuries from seizures are a serious, persistent problem in childhood onset epilepsy: a population-based studySeizure2015;27:8083.CrossRef | Google Scholar | PubMed
39. CollardSSMarlowCThe psychosocial impact of exercising with epilepsy: a narrative analysisEpilepsy Behav.2016;61:199205.CrossRef | Google Scholar | PubMed
40. BrnaPMGordonKEWoolridgeEDooleyJMWoodEPerceived need for restrictions on activity for children with epilepsyEpilepsy Behav2017;73:236239.CrossRef | Google Scholar | PubMed
41. AguirreCQuintasSRuiz-TorneroAMet alDo people with epilepsy have a different lifestyle? Epilepsy Behav.2017;74:2732.CrossRef | Google Scholar | PubMed
42. Almeida-Souza-TedrusGMStercaGSBuarquePRPhysical activity, stigma, and quality of life in patients with epilepsyEpilepsy Behav2017;77:9698.CrossRef | Google Scholar
43. HäfeleCAFreitasMPda SilvaMCRombaldiAJAre physical activity levels associated with better health outcomes in people with epilepsy? Epilepsy Behav2017;72:2834.CrossRef | Google Scholar | PubMed
44. CollardSSEllis- HillCHow do you exercise with epilepsy? Insights into the barriers and adaptations to successfully exercise with epilepsyEpilepsy Behav2017;70:6671.CrossRef | Google Scholar | PubMed
45. HäfeleCAFreitasMPGerviniBLde CarvalhoRMRombaldiAJWho are the individuals diagnosed with epilepsy using the Public Health System in the city of Pelotas, southern Brazil? Epilepsy Behav2018;78:8490.CrossRef | Google Scholar | PubMed
46. Ben-MenachemEWeight issues for people with epilepsy—a reviewEpilepsia2007;48:4245.CrossRef | Google Scholar | PubMed
47. HellierJLDudekFESpontaneous motor seizures of rats with kainate-induced epilepsy: effect of time of day and activity stateEpilepsy Res1999;35(1):4757.CrossRef | Google Scholar | PubMed
48. TutkunEAyyildizMAgarEShort-duration swimming exercise decreases penicillin-induced epileptiform EcoG activity in ratsActa Neurobiol Exp (Wars)2010;70(4):382389.Google Scholar | PubMed
49. KayacanYTutkunEArslanGAyyildizMAgarEThe effects of treadmill exercise on penicillin-induced epileptiform activityArch Med Sci2016;12(5):935940.CrossRef | Google Scholar | PubMed
50. RadakZChungHYGotoSSystemic adaptation to oxidative challenge induced by regular exerciseFree Radic Biol Med2008;44(2):153159.CrossRef | Google Scholar | PubMed
51. Peixinho-PenaLFFernandesJde AlmeidaAAet alA strength exercise program in rats with epilepsy is protective against seizuresEpilepsy Behav2012;25(3):323328.CrossRef | Google Scholar | PubMed
52. NybergJAbergMAITorenKNilssonMBen-MenachemEKuhnHGCardiovascular fitness and later risk of epilepsy: a Swedish population-based cohort studyNeurology2013;81(12):10511057.CrossRef | Google Scholar | PubMed
53. SetkowiczZMazurAPhysical training decreases susceptibility to subsequent pilocarpine-induced seizures in the rat.Epilepsy Res2006;71(2–3):142148.CrossRef | Google Scholar | PubMed
54. AridaRMScorzaFAdos SantosNFPeresCACavalheiroEAEffect of physical exercise on seizure occurrence in a model of temporal lobe epilepsy in ratsEpilepsy Res1999;37(1):4552.CrossRef | Google Scholar
55. ContetCGavériaux-RuffCMatifasACaradecCChampyM-FKiefferBLDissociation of analgesic and hormonal responses to forced swim stress using opioid receptor knockout miceNeuropsychopharmacology2006;31(8):17331744.CrossRef | Google Scholar | PubMed
56. AridaRMScorzaFAToscano-SilvaMCavalheiroEADoes exercise correct dysregulation of neurosteroid levels induced by epilepsy? Ann Neurol2010;68(6):971972.CrossRef | Google Scholar | PubMed
57. MevissenMEbertUAnticonvulsant effects of melatonin in amygdala-kindled ratsNeurosci Lett1998;257(1):1316.CrossRef | Google Scholar | PubMed
58. AridaRMScorzaCAScorzaFAGomes da SilvaSda Graça Naffah-MazzacorattiMCavalheiroEAEffects of different types of physical exercise on the staining of parvalbumin-positive neurons in the hippocampal formation of rats with epilepsyProg Neuropsychopharmacol Biol Psychiatry2007;31(4):814822.CrossRef | Google Scholar | PubMed
59. AridaRMSanabriaERGda SilvaACFariaLCScorzaFACavalheiroEAPhysical training reverts hippocampal electrophysiological changes in rats submitted to the pilocarpine model of epilepsyPhysiol Behav2004;83(1):165171.CrossRef | Google Scholar | PubMed
60. AridaRMde Jesus VieiraACavalheiroEAEffect of physical exercise on kindling developmentEpilepsy Res.1998;30(2):127132.CrossRef | Google Scholar | PubMed
61. YonedaYKanmoriKIdaSKuriyamaKStress-induced alterations in metabolism of gamma-aminobutyric acid in rat brainJ Neurochem1983;40(2):350356.CrossRef | Google Scholar | PubMed
62. SouzaMAOliveiraMSFurianAFet alSwimming training prevents pentylenetetrazol-induced inhibition of Na+, K+-ATPase activity, seizures, and oxidative stressEpilepsia2009;50(4):811823.CrossRef | Google Scholar
63. BlackJEIsaacsKRAndersonBJAlcantaraAAGreenoughWTLearning causes synaptogenesis, whereas motor activity causes angiogenesis, in cerebellar cortex of adult ratsProc Natl Acad Sci USA1990;87(14):55685572.CrossRef | Google Scholar | PubMed
64. KleimJACooperNRVandenBergPMExercise induces angiogenesis but does not alter movement representations within rat motor cortexBrain Res2002;934(1):16.CrossRef | Google Scholar
65. NisticòGCirioloMRFiskinKIannoneMde MartinoARotilioGNGF restores decrease in catalase activity and increases superoxide dismutase and glutathione peroxidase activity in the brain of aged ratsFree Radic Biol Med.1992;12(3):177181.CrossRef | Google Scholar | PubMed
66. CarroETrejoJLBusiguinaSTorres-AlemanICirculating insulin-like growth factor I mediates the protective effects of physical exercise against brain insults of different etiology and anatomyJ Neurosci Off J Soc Neurosci2001;21(15):56785684.CrossRef | Google Scholar | PubMed
67. OgunyemiAOGomezMRKlassDWSeizures induced by exerciseNeurology1988;38(4):6336334.CrossRef | Google Scholar | PubMed
68. SimpsonRK JrGrossmanRGSeizures after joggingN Engl J Med1989;321(12):835.Google Scholar | PubMed
69. BjørholtPGNakkenKORøhmeKHansenHLeisure time habits and physical fitness in adults with epilepsy.Epilepsia1990;31(1):8387.CrossRef | Google Scholar | PubMed
70. SchmittBThun-HohensteinLVontobelHBoltshauserESeizures induced by physical exercise: report of two cases.Neuropediatrics1994;25(01):5153.CrossRef | Google Scholar | PubMed
71. EriksenHREllertsenBGrønningsaeterHNakkenKOLøyningYUrsinHPhysical exercise in women with intractable epilepsyEpilepsia1994;35(6):12561264.CrossRef | Google Scholar | PubMed
72. SturmJWFediMBerkovicSFReutensDCExercise-induced temporal lobe epilepsyNeurology2002;59(8):12461248.CrossRef | Google Scholar | PubMed
73. WerzMAIdiopathic generalized tonic–clonic seizures limited to exercise in a young adultEpilepsy Behav.2005;6(1):98101.CrossRef | Google Scholar
74. KamelJTBadawyRACookMJExercise-induced seizures and lateral asymmetry in patients with temporal lobe epilepsyEpilepsy Behav Case Rep2014;2:2630.CrossRef | Google Scholar | PubMed
75. BennettDRSports and epilepsy: to play or not to playSemin Neurol1981;1:345357.CrossRef | Google Scholar
76. AridaRMCavalheiroEAda SilvaACScorzaFAPhysical activity and epilepsy: proven and predicted benefitsSports Med Auckl NZ2008;38(7):607615.CrossRef | Google Scholar | PubMed
77. RodenburgRMeijerAMScherphofCet alParenting and restrictions in childhood epilepsyEpilepsy Behav.2013;27(3):497503.CrossRef | Google Scholar | PubMed
78. MecarelliOMessinaPCapovillaGet alAn educational campaign toward epilepsy among Italian primary school teachersEpilepsy Behav2014;32:8491.CrossRef | Google Scholar | PubMed
79. PainterERauschJRModiACChanges in daily activity patterns of caregivers of children with newly diagnosed epilepsy: a case-controlled designEpilepsy Behav2014;31:16.CrossRef | Google Scholar | PubMed
80. ILAE Commission ReportRestrictions for children with epilepsy. Commission of Pediatrics of the ILAE. International League Against EpilepsyEpilepsia1997;38(9):10541056.CrossRef | Google Scholar
81. KaufmanKRAnticonvulsants in sports: ethical considerationsEpilepsy Behav2007;10(2):268271.CrossRef | Google Scholar | PubMed

via Epilepsy, Physical Activity and Sports: A Narrative Review | Canadian Journal of Neurological Sciences | Cambridge Core

 

, , , , , , ,

Leave a comment

[Abstract + References] Methods of Motion Assessment of Upper Limb for Rehabilitation Application – IEEE Conference Publication

Abstract

The aim of this paper is to describe methods proposed for motion capture subsystem of smart orthosis for quantitative evaluation of movement activity of upper limbs during a rehabilitation process carried out at a clinic or at home. To quantify the description of motion we used methods of evaluation of the relationship between measured variables and nonlinear methods. To test the functionality of the methods, we compared the movement of the dominant and non-dominant limbs, assuming cyclical and acyclic movement, to obtain the expected values for a healthy population. In accordance with the goal, a group of cyclic and non-cyclic movements common to the home environment were proposed. The movements were divided according to the activities performed during sitting, standing and walking. It was: pen writing, typing on the keyboard / using the mouse, eating with a spoon and eating a croissant combing, lifting weights, reading a book, etc. Twenty healthy subjects participated in the study. Four gyro-accelerometers (Xsens Technologies B.V.) attached to the forearms and upper arms of both upper limbs were used to record the upper limb movements. The results show that the calculated values of dominant and non-dominant limb parameters differ significantly in most movements. The motion capture subsystem which uses the proposed methods can be used to valuate the physical activity for quantification of the evaluation of the rehabilitation process, and thus, it finds use in practice.
1. D. P Romilly, C Anglin, R. G Gosine, C Hershler, S. U. Raschke, “A Functional Task Analysis and Motion Simulation for the Development of a Powered Upper-Limb Orthosis”, IEEE Transactions on Rehabilitation Engineering, pp. 119-129, 1994.

2. R. Rupp, M. Rohm, M. Schneiders, A. Kreilinger, G. R Müller-Putz, “Functional rehabilitation of the paralyzed upper extremity after spinal cord injury by noninvasive hybrid neuroprostheses”, Proceedings of the IEEE, pp. 954-968, 2015.

3. R. C. Oldfield, “The assessment and analysis of handedness”, The Edinburgh inventory. Neuropsychologia, pp. 97-113, 1971.

4. P. Kutilek, O. Cakrt, J. Hejda, “Com-parative measurement of the head orientation using camera system and gyroscope system”, 13th Mediterranean conference on medical and biological engineering and computing Seville Spain IFMBE Proceedings Volume 41, pp. 1519-1522, 2013.

5. P. Kutilek, V. Socha, O. Cakrt, J. Schlenker, L. Bizovska, “Trajectory length of pitch vs. roll. Technique for assessment of postural stability”, Acta Gymnica, pp. 85-92, 2015.

6. J. H Allum, L. B. O. Nijhuis, M. G. Carpenter, “Differences in coding provided by proprioceptive and vestibular sensory signals may con-tribute to lateral instability in vestibular loss subjects”, Experimental brain research, vol. 184, no. 3, pp. 391-410, 2008.

7. Á. Gil-Agudo, L. A. Reyes-Guzman, Dimbwadyo-Terrer, I. Peñasco-Martín, B. Bernal-Sahún, A. P.López-Monteagudo, A. Ama-Espinosa, J. L Pons, “A novel motion tracking system for evaluation of functional rehabilitation of the upper limbs”, Neural regeneration research, vol. 8, no. 19, pp. 1773-1782, 2013.

8. D. Stirling, A. Hesami, C. Ritz, K. Kdistambha, F. Naghdy, “Symbolic Modelling of Dynamic Human Motions”, Biosensors. Pier Andrea Serra, 2013.

9. F. Lorussi, N. Carbonaro, D. D. Rossi, A. Tognetti, “A biarticular model for scapular-humeral rhythm reconstruction through data from wearable sensors”, J Neuroeng Rehabil, vol. 13, pp. 40, 2016.

10. D. Winter, “Stiffness Control of Balance in Quiet Standing”, Journal of Neurophysiology, pp. 1211-1221, 1998.

11. P. Kutilek, B. Farkasova, “Prediction of Lower Extremities’ Motion by Angle-angle Diagrams and Neural Networks”, Acta of Bioengineering and Biomechanics, pp. 57-65, 2011.

12. S. M. Bruijn, “Assessing Stability of Human Locomotion: a review of current measures” in Journal of the Royal Society Interface, 2013.

13. B. Coley, B. M. Jolles, A. Farron, A. Bourgeois, F. Nussbaumer, C. Pichonnaz, K. Aminian, “Outcome evaluation in shoulder surgery using 3D kinematics sensors”, Gait& Posture, vol. 25, pp. 523-532, 2007.

14. A. Wolf, J. B. Swift, H. L. Swinney, J. A. Vastano, “Determining Lyapunov exponents from a time series”, Physica 16D, pp. 285-317, 1985.

15. D. E. Lake, J. S. Richman, M. P. Griffin, J. R. Moorman, “Sample entropy analysis of neona-tal heart rate variability”, American Journal of Physiology – Regulatory Integrative and Comparative Physiology, vol. 283, no. 3, 2002.

16. M. O. Sokunbi, “Sample entropy reveals high discriminative power between young and elderly adults in short fMRI data sets”, Front. Neuroinform, 2014.

17. B. Singh, M. Singh, V. K. Banga, “Sample Entropy based HRV: Effect of ECG Sampling Frequency”, Biomedical Science and Engineering, 2014.

18. Z. Jian-Jun, N. Xin-Bao, Y. Xiao-Dong, H. Feng-Zhen, H. Cheng-Yu, “Decrease in Hurst expo-nent of human gait with aging and neurodegenerative diseases”, Chin. Phys. Soc. and IOP Publishing Ltd Chinese Physics B, vol. 17, 2008.

19. A. Goshvarpour, A. Goshvarpour, “Nonlinear Analysis of Human Gait Signals”, International Journal of Information Engineering and Electronic Business(IJIEEB), vol. 4, pp. 15-21, 2012.

via Methods of Motion Assessment of Upper Limb for Rehabilitation Application – IEEE Conference Publication

, , , , , , , , , , ,

Leave a comment

[Thesis] Designing an augmented reality video game to assist stroke patients with independent rehabilitation

Abstract

Early, intense practice of functional, repetitive rehabilitation interventions has shown positive results towards lower-limb recovery for stroke patients. However, long-term engagement in daily physical activity is necessary to maximise the physical and cognitive benefits of rehabilitation. The mundane, repetitive nature of traditional physiotherapy interventions and other personal, environmental and physical elements create barriers to participation. It is well documented that stroke patients engage in as little as 30% of their rehabilitation therapies. Digital gamified systems have shown positive results towards addressing these barriers of engagement in rehabilitation, but there is a lack of low-cost commercially available systems that are designed and personalised for home use. At the same time, emerging mixed reality technologies offer the ability to seamlessly integrate digital objects into the real world, generating an immersive, unique virtual world that leverages the physicality of the real world for a personalised, engaging experience.
This thesis explored how the design of an augmented reality exergame can facilitate engagement in independent lower-limb stroke rehabilitation. Our system converted prescribed exercises into active gameplay using commercially available augmented reality mobile technology. Such a system introduced an engaging, interactive alternative to existing mundane physiotherapy exercises.
The development of the system was based on a user-centered iterative design process. The involvement of health care professionals and stroke patients throughout each stage of the design and development process helped understand users’ needs, requirements and environment to refine the system and ensure its validity as a substitute for traditional rehabilitation interventions.
The final output was an augmented reality exergame that progressively facilitates sit-to-stand exercises by offering immersive interactions with digital exotic wildlife. We hypothesize that the immersive, active nature of a mobile, mixed reality exergame will increase engagement in independent task training for lower-limb rehabilitation.

via Designing an augmented reality video game to assist stroke patients with independent rehabilitation

, , , , , ,

Leave a comment

[Study] Home Is a Better Bet Than Hospitals for Achieving More PA Poststroke

There’s no place like home for engaging in the levels of physical activity (PA) that can aid in recovery poststroke—at least compared with the current hospital setting—according to a small study from Australia.

For the study, researchers used accelerometers and self-reports to track the PA and sitting time of 32 participants (mean age of 68, 53% male) who had experienced a stroke, comparing data gathered during their last week in the hospital with data gathered during their first week home. Participants were also assessed in a number of areas during their final week in the hospital, including physical function, functional independence, pain, anxiety, and depression.

The researchers were interested in finding out if an individual’s environment plays a role in PA poststroke—something they describe as “pivotal” to recovery—and whether other factors, such as depression, have an effect on any changes in PA levels. Results were e-published ahead of print in theArchives of Physical Medicine and Rehabilitation (abstract only available for free).

They found that environment does seem to make a difference—and a fairly big one at that. While the amount of time spent awake didn’t change much from hospital to home (13.1 hours a day in the hospital vs 13.5 hours per day at home), the amount of PA achieved—and time spent in sedentary behaviors—varied significantly. Participants sat for an average of 45 fewer minutes a day at home than they did in their last week in the hospital, were upright for 45 more minutes a day, spent 12 more minutes a day walking, and completed an average of 724 additional daily steps.

The results were similar when adjusted for demographic variables and didn’t seem to be significantly affected by any of the secondary factors assessed in the hospital, save one—depression, which when present was associated with no gains in PA at home.

The researchers don’t pin the improvement to any single factor but speculate that “the home environment may provide greater opportunity for activities of daily living such as cooking, cleaning, social and community activities, and there may be fewer external restrictions such as hospital routines and safety concerns around mobilization.”

Authors of the study also believe the gap between home and hospital PA poststroke could be closed if hospitals were to take more cues from the home environment.

“Physically, cognitively, and socially enriched stroke rehabilitation environments appear to increase activity by 20%,” they write. “Wards [that] include communal areas to promote more time spent upright, and the need to transport patients further for personal care may create opportunities for activity. The low activity levels in [the] hospital and at home found in our study, and in prior reports…indicate that there is clearly more work to be done in promoting activity after stroke.”

via Study: Home Is a Better Bet Than Hospitals for Achieving More PA Poststroke

, , , ,

Leave a comment

[WEB SITE] Could robots be counselors? Early research shows positive user experience

 

Many participants in the University of Plymouth study praised the ‘non-judgmental’ nature of the humanoid NAO robot as it delivered its session — with one even saying they preferred it to a human.
Credit: University of Plymouth

New research has shown for the first time that a social robot can deliver a ‘helpful’ and ‘enjoyable’ motivational interview (MI) — a counselling technique designed to support behaviour change.

Many participants in the University of Plymouth study praised the ‘non-judgemental’ nature of the humanoid NAO robot as it delivered its session — with one even saying they preferred it to a human.

Led by the School of Psychology, the study also showed that the robot achieved a fundamental objective of MI as it encouraged participants, who wanted to increase their physical activity, to articulate their goals and dilemmas aloud.

MI is a technique that involves the counsellor supporting and encouraging someone to talk about their need for change, and their reasons for wanting to change.

The role of the interviewer in MI is mainly to evoke a conversation about change and commitment, and the robot was programmed with a set script designed to elicit ideas and conversation on how someone could increase their physical activity.

When finished answering each question, the participant taped the top of NAO’s head to continue, with some sessions lasting up to an hour.

Lead academic Professor Jackie Andrade explained that, because they are perceived as nonjudgmental, robots may have advantages over more humanoid avatars for delivering virtual support for behavioral change.

“We were pleasantly surprised by how easily the participants adapted to the unusual experience of discussing their lifestyle with a robot,” she said. “As we have shown for the first time that a motivational interview delivered by a social robot can elicit out-loud discussion from participants.

“In addition, the participants perceived the interaction as enjoyable, interesting and helpful. Participants found it especially useful to hear themselves talking about their behaviour aloud, and liked the fact that the robot didn’t interrupt, which suggests that this new intervention has a potential advantage over other technology-delivered adaptations of MI.

“Concern about being judged by a human interviewer came across strongly in praise for the non-judgemental nature of the robot, suggesting that robots may be particularly helpful for eliciting talk about sensitive issues.

“The next stage is to undertake a quantitative study, where we can measure whether participants felt that the intervention actually increased their activity levels.”

Story Source:

Materials provided by University of PlymouthNote: Content may be edited for style and length.


Journal Reference:

  1. Joana Galvão Gomes da Silva, David J Kavanagh, Tony Belpaeme, Lloyd Taylor, Konna Beeson, Jackie Andrade. Experiences of a Motivational Interview Delivered by a Robot: Qualitative StudyJournal of Medical Internet Research, 2018; 20 (5): e116 DOI: 10.2196/jmir.7737

via Could robots be counselors? Early research shows positive user experience: New research has shown for the first time that a social robot can deliver a ‘helpful’ and ‘enjoyable’ motivational interview — ScienceDaily

, , , , ,

Leave a comment

[ARTICLE] Effectiveness of a multimodal exercise rehabilitation program on walking capacity and functionality after a stroke – Full Text

Abstract

The aim of this study was to determine the effectiveness of a 12-week multimodal exercise rehabilitation program on walking speed, walking ability and activities of daily living (ADLs) among people who had suffered a stroke. Thirty-one stroke survivors who had completed a conventional rehabilitation program voluntarily participated in the study. Twenty-six participants completed the multimodal exercise rehabilitation program (2 days/wk, 1 hr/session). Physical outcome measures were: walking speed (10-m walking test), walking ability (6-min walking test and functional ambulation classification) and ADLs (Barthel Index). The program consisted on: aerobic exercise; task oriented exercises; balance and postural tonic activities; and stretching. Participants also followed a program of progressive ambulation at home. They were evaluated at baseline, postintervention and at the end of a 6-month follow-up period. After the intervention there were significant improvements in all outcomes measures that were maintained 6 months later. Comfortable and fast walking speed increased an average of 0.16 and 0.40 m/sec, respectively. The walking distance in the 6-min walking test increased an average of 59.8 m. At the end of the intervention, participants had achieved independent ambulation both indoors and outdoors. In ADLs, 40% were independent at baseline vs. 64% at the end of the intervention. Our study demonstrates that a multimodal exercise rehabilitation program adapted to stroke survivors has benefits on walking speed, walking ability and independence in ADLs.
Keywords: Exercise, Physical activity, Stroke rehabilitation, Walking speed, Activities of daily living

INTRODUCTION

As life expectancy increases, a larger number of persons may suffer from stroke. Stroke mortality rates have decreased, but the burden of stroke is increasing in terms of stroke survivors per year, correlated deaths and disability-adjusted life-years lost. These deficiencies are further highlighted by a trend towards more strokes in younger people (Feigin et al., 2014). Stroke not only causes permanent neurological deficits, but also a profound degradation of physical condition, which worsens disability and increases cardiovascular risk. Stroke survivors are likely to suffer functional decline due to reduction of aerobic capacity. This may involve further secondary complications such as progressive muscular atrophy, osteoporosis, peripheral circulation worsening and increased cardiovascular risk (Ivey et al., 2006). All these factors cause increased dependency, need of assistance from third parties in activities of daily living (ADLs) and a restriction on participation that can have a profound psychosocial impact (Carod-Artal and Egido, 2009). Gait capacity is one of the main priorities of persons who have suffered a stroke, but is often limited due to the high energy demands of hemiplegic gait and the poor physical condition of these persons (Ivey et al., 2006). Gait speed is a commonly used measure in patients who have suffered a stroke to differentiate the functional capacity to walk indoors or outdoors. Gait speed has been classified as: allowing indoor ambulation (<0.4 m/sec), limited outdoor ambulation (0.4–0.8 m/sec), and outdoor functional ambulation (>0.8 m/sec) (Perry et al., 1995). Gait speed can also help to establish the functional prognosis of the patient. It has been stated that improvements in walking speed correlate with improved function and quality of life (QoL) (Schmid et al., 2007). It is essential to achieve a proper gait speed for outdoors functional ambulation.
Falls are common among stroke survivors and are associated with a worsening of disability and QoL. Balance is a complex process that involves the reception and integration of afferent inputs and the planning and execution of movement. Stroke can impact on different systems involved in postural control. Multifactorial falls risk assessment and management, combined with fitness programs, are effective in reducing risk of falls and fear of falling (Stroke Foundation of New Zealand and New Zealand Guidelines Group, 2010). Falls often occur when getting in and out of a chair (Brunt et al., 2002). The 2013 Cochrane review (Saunders et al., 2013) recommends the repetitive practice of sit-to-stand in order to promote an ergonomic and automatic pattern of this movement. Recent studies demonstrate that exercises that improve trunk stability and balance provide a solid base for body and leg movements that entail an improved gait in people affected by stroke (Sharma and Kaur, 2017). Conventional rehabilitation programs after stroke focus on the subacute period. The aim is to recover basic ADLs, but they do not provide maintenance exercises to provide long-term health gains. Cardiac monitoring demonstrates that conventional physiotherapy exercises do not regularly provide adequate exercise intensity to modify the physical deconditioning, nor sufficient exercise repetition to improve motor learning (Ivey et al., 2006). Therapeutic physical exercise to optimize function, physical condition and cardiovascular health after a stroke is an emerging field within neurorehabilitation (Teasell et al., 2009). The wide range of difficulties experienced by stroke survivors justify the need to explore rehabilitation programs designed to promote an overall improvement and to maintain the gains obtained after rehabilitation programs. Numerous studies have demonstrated the efficacy of aerobic exercise (Saunders et al., 2016), but there are few data on the long term effects of multimodal programs that incorporate aerobic exercise, complemented by task-oriented training and balance exercises. Consequently, the aim of this study is to analyse the impact of a multimodal exercise rehabilitation program tailored to stroke survivors on walking speed, walking ability and ADLs. […]

Continue —> Effectiveness of a multimodal exercise rehabilitation program on walking capacity and functionality after a stroke

, , , ,

Leave a comment

[WEB SITE] Walk 4,000 steps every day to boost brain function

Recent research led by the University of California, Los Angeles shows that taking a short walk each day can help to keep the brain healthy, supporting the overall resilience of cognitive functioning.
seniors walking in the park

Could a walk in the park help to maintain cognitive health in old age?

As we grow older, memory problems can begin to set in. These could be a natural part of aging and a minor annoyance, but in some cases, the issues may indicate mild cognitive impairment and could even develop into dementia.

Regardless of how mild or severe these memory problems may be, they are definitely distressing and can affect an individual’s quality of life.

New research from the Semel Institute for Neuroscience and Human Behavior at the University of California, Los Angeles suggests that there is a relatively easy way of keeping your brain in top shape as you grow older: take a moderately long walk every day.

This could boost your attention, the efficiency with which you process information, and other cognitive skills, say first study author Prabha Siddarth and colleagues.

The research findings were recently published the Journal of Alzheimer’s Disease.

Cortical thickness to assess cognitive health

Siddarth and team initially recruited 29 adults aged 60 and over, of which 26 completed the study over a 2-year period. The participants were split into two distinct groups:

  • a low physical activity group, comprising people who walked 4,000 or fewer steps each day
  • a high physical activity group, made up of people who walked more than 4,000 steps per day

All the participants reported a degree of memory complaints at baseline, but none of them had a dementia diagnosis.

In order to explore the potential effect of physical activity on cognitive ability, the researchers used MRI to determine the volume and thickness of the hippocampus, which is a brain region associated with memory formation and storage, and spatial orientation.

Previous research suggested that the size and volume of this brain region can tell us something about cognitive health. For instance, a higher hippocampal volume has been shown to indicate more effective memory consolidation.

“Few studies have looked at how physical activity affects the thickness of brain structures,” says Siddarth.

“Brain thickness,” she notes, “a more sensitive measure than volume, can track subtle changes in the brain earlier than volume and can independently predict cognition, so this is an important question.”

Walk more every day for a resilient brain

In addition to the MRI scans, the participants also underwent a set of neuropsychological tests, to consolidate the assessment of their cognitive capacity.

It was found that those in the high physical activity group — who walked more than 4,000 steps (approximately 3 kilometers) each day — had thicker hippocampi, as well as thicker associated brain regions, when compared with that of the those falling under the low physical activity category.

The highly active group was also found to have better attention, speedier information processing abilities, and more efficient executive function, which includes working memory. Working memory is the resource that we tap into on a daily basis when we need to make spontaneous decisions.

However, Siddarth and colleagues reported no significant differences between the high activity and low activity groups when it came to memory recall.

The next step from here, the researchers suggest, should be to undertake a longitudinal analysis in order to test the relationship between physical activity and cognitive ability over time.

They also note the need to better understand the mechanisms behind cognitive decline in relation to hippocampal atrophy.

via Walk 4,000 steps every day to boost brain function

, , , ,

Leave a comment

[Abstract] Sleep Duration, Sedentary Behavior, Physical Activity, and Quality of Life after Inpatient Stroke Rehabilitation 

Objective

The aim of this study was to describe accelerometer-derived sleep duration, sedentary behavior, physical activity, and quality of life and their association with demographic and clinical factors within the first month after inpatient stroke rehabilitation.

Materials and Methods

Thirty people with stroke (mean ± standard deviation, age: 63.8 ± 12.3 years, time since stroke: 3.6 ± 1.1 months) wore an activPAL3 Micro accelerometer (PAL Technologies, Glasgow, Scotland) continuously for 7 days to measure whole-day activity behavior. The Stroke Impact Scale and the Functional Independence Measure were used to assess quality of life and function, respectively.

Results

Sleep duration ranged from 6.6 to 11.6 hours/day. Fifteen participants engaged in long sleep greater than 9 hours/day. Participants spent 74.8% of waking hours in sedentary behavior, 17.9% standing, and 7.3% stepping. Of stepping time, only a median of 1.1 (interquartile range: .3-5.8) minutes were spent walking at a moderate-to-vigorous intensity (≥100 steps/minute). The time spent sedentary, the stepping time, and the number of steps differed significantly by the hemiparetic side (P < .05), but not by sex or the type of stroke. There were moderate to strong correlations between the stepping time and the number of steps with gait speed (Spearman r = .49 and .61 respectively, P < .01). Correlations between accelerometer-derived variables and age, time since stroke, and cognition were not significant.

Conclusions

People with stroke sleep for longer than the normal duration, spend about three quarters of their waking hours in sedentary behaviors, and engage in minimal walking following stroke rehabilitation. Our findings provide a rationale for the development of behavior change strategies after stroke.

Source: Sleep Duration, Sedentary Behavior, Physical Activity, and Quality of Life after Inpatient Stroke Rehabilitation – Journal of Stroke and Cerebrovascular Diseases

, , , , ,

Leave a comment

[BOOK] Technology in Physical Activity and Health Promotion – Google Books

Front CoverAs technology becomes an ever more prevalent part of everyday life and population-based physical activity programmes seek new ways to increase lifelong engagement with physical activity, so the two have become increasingly linked. This book offers a thorough, critical examination of emerging technologies in physical activity and health, considering technological interventions within the dominant theoretical frameworks, exploring the challenges of integrating technology into physical activity promotion and offering solutions for its implementation.

Technology in Physical Activity and Health Promotion occupies a broadly positive stance toward interactive technology initiatives and, while discussing some negative implications of an increased use of technology, offers practical recommendations for promoting physical activity through a range of media, including:

  • social media
  • mobile apps
  • global positioning and geographic information systems
  • wearables
  • active videogames (exergaming)
  • virtual reality settings.

Offering a logical and clear critique of technology in physical activity and health promotion, this book will serve as an essential reference for upper-level undergraduates, postgraduate students and scholars working in public health, physical activity and health and kinesiology, and healthcare professionals.

Preview this book »

 

Source: Technology in Physical Activity and Health Promotion – Google Books

, , ,

Leave a comment

%d bloggers like this: