Archive for category Paretic Hand
[Abstract] A Pneumatic Actuator-Powered Robotic Glove for Hand Rehabilitation – Book Chapter
Posted by Kostas Pantremenos in Books, Paretic Hand, Rehabilitation robotics on March 14, 2022

Abstract
The chapter describes the design, evaluation, and fabrication of a soft wearable glove that can assist people with hand impairments in regaining their ability to perform daily tasks by using operating pneumatic pressure to bend and stress fingers through specially designed actuators to bend and stress fingers. The key element of this research is the development of a streamlined, low-cost electron-pneumatic actuator to support the finger’s motion flexibility. The soft wearable robotics glove described in the following section can bend and activate finger joints when pressurized. The experiment was designed to evaluate the performance of the soft wearable robotic glove actuator, and preliminary results indicated that the actuator was capable of delivering successful extension torques to aid finger joints.
References
- 1.B. Bozkurt, R. E. Hershberger, J. Butler, K. L. Grady, P. A. Heidenreich, M. L. Isler, J. K.Kirklin, W. S. Weintraub, “2021 acc/aha key data elements and definitions for heartfailure: A report of the american college of cardiology/american heart association task forceon clinical data standards (writing committee to develop clinical data standards for heartfailure),”Circulation: Cardiovascular Quality and Outcomes (2020)Google Scholar
- 2.N. S. C. I. S. Centeret al., “Spinal cord injury facts and figures at a glance.,” J. Spinal Cord Med. 36(1), 1(2013)Google Scholar
- 3.R. Mohammadinejad, Z. Ahmadi, S. Tavakol, M. Ashrafizadeh, Berberine as a potentialautophagy modulator. J. Cell. Physiol. 234(9), 14914–14926 (2019)CrossRefGoogle Scholar
- 4.C. D. Takahashi, L. Der-Yeghiaian, V. Le, R. R. Motiwala, S. C. Cramer, “Robot-basedhand motor therapy after stroke,” Brain 131(2), 425–437 (2008)Google Scholar
- 5.S.L. Wolf, C.J. Winstein, J.P. Miller, P.A. Thompson, E. Taub, G. Uswatte, D. Morris, S. Blanton, D. Nichols-Larsen, P.C. Clark, Retention of upper limb function in strokesurvivors who have received constraint-induced movement therapy: the excite randomisedtrial. Lancet Neurol. 7(1), 33–40 (2008)CrossRefGoogle Scholar
- 6.J. Liepert, H. Bauder, W.H. Miltner, E. Taub, C. Weiller, Treatment-induced corticalreorganization after stroke in humans. Stroke 31(6), 1210–1216 (2000)CrossRefGoogle Scholar
- 7.G. Kwakkel, B.J. Kollen, H.I. Krebs, Effects of robot-assisted therapy on upper limbrecovery after stroke: a systematic review. Neurorehabil. Neural Repair 22(2), 111–121 (2008)CrossRefGoogle Scholar
- 8.A.A. Timmermans, H.A. Seelen, R.D. Willmann, H. Kingma, Technology-assistedtraining of arm-hand skills in stroke: concepts on reacquisition of motor control and therapistguidelines for rehabilitation technology design. J. Neuroeng. Rehab. 6(1), 1–18 (2009)CrossRefGoogle Scholar
- 9.N. Takeuchi and S.-I. Izumi, “Rehabilitation with poststroke motor recovery: a review witha focus on neural plasticity,” Stroke Res. Treat. 2013 (2013)Google Scholar
- 10.A. Wege, G. Hommel, “Development and control of a hand exoskeleton for rehabilitationof hand injuries,” in 2005 IEEE/RSJ International Conference on Intelligent Robots andSystems, pp. 3046–3051, IEEE (2005)Google Scholar
- 11.T. Worsnopp, M. Peshkin, J. Colgate, D. Kamper, “An actuated finger exoskeleton forhand rehabilitation following stroke,” in 2007 IEEE 10th international conference on reha-bilitation robotics, pp. 896–901, IEEE (2007)Google Scholar
- 12.K. Tadano, M. Akai, K. Kadota, K. Kawashima, “Development of grip amplified gloveusing bi-articular mechanism with pneumatic artificial rubber muscle,” in2010 IEEE Inter-national Conference on Robotics and Automation, pp. 2363–2368, IEEE (2010)Google Scholar
- 13.Y. Kadowaki, T. Noritsugu, M. Takaiwa, D. Sasaki, M. Kato, Development of softpower-assist glove and control based on human intent. J. Robot. Mechatron. 23(2), 281–291 (2011)CrossRefGoogle Scholar
- 14.B. Mosadegh, P. Polygerinos, C. Keplinger, S. Wennstedt, R.F. Shepherd, U. Gupta, J. Shim, K. Bertoldi, C.J. Walsh, G.M. Whitesides, Pneumatic networks for soft robotics thatactuate rapidly. Adv. Func. Mater. 24(15), 2163–2170 (2014)CrossRefGoogle Scholar
Source
[Abstract] Activities of Daily Living-based Rehabilitation System for Arm and Hand Motor Function Retraining after Stroke
Posted by Kostas Pantremenos in Paretic Hand, REHABILITATION on March 9, 2022
Abstract
Most stroke survivors have difficulties completing activities of daily living (ADLs) independently. However, few rehabilitation systems have focused on ADLs-related training for gross and fine motor function together. We propose an ADLs-based serious game rehabilitation system for the training of motor function and coordination of both arm and hand movement where the user performs corresponding ADLs movements to interact with the target in the serious game. A multi-sensor fusion model based on electromyographic (EMG), force myographic (FMG), and inertial sensing was developed to estimate users’ natural upper limb movement. Eight healthy subjects and three stroke patients were recruited in an experiment to validate the system’s effectiveness. The performance of different sensor and classifier configurations on hand gesture classification against the arm position variations were analyzed, and qualitative patient questionnaires were conducted. Results showed that elbow extension/flexion has a more significant negative influence on EMG-based, FMG-based, and EMG+FMG-based hand gesture recognition than shoulder abduction/adduction does. In addition, there was no significant difference in the negative influence of shoulder abduction/adduction and shoulder flexion/extension on hand gesture recognition. However, there was a significant interaction between sensor configurations and algorithm configurations in both offline and real-time recognition accuracy. The EMG+FMG-combined multi-position classifier model had the best performance against arm position change. In addition, all the stroke patients reported their ADLs-related ability could be restored by using the system. These results demonstrate that the multi-sensor fusion model could estimate hand gestures and gross movement accurately, and the proposed training system has the potential to improve patients’ ability to perform ADLs.
Published in: IEEE Transactions on Neural Systems and Rehabilitation Engineering ( Early Access )
[Abstract] Ludic Table: a comparative study between playful rehabilitation and kinesiotherapy in restricting upper limb movements in individuals with stroke
Posted by Kostas Pantremenos in Paretic Hand, REHABILITATION on March 9, 2022
Abstract
Stroke is a neurological syndrome resulting from the sudden interruption of blood flow. Among the symptoms/consequences of the stroke are muscle weakness in the lower and/or upper limbs, decreased sensitivity, altered fine motor skills, proprioception, and reflections. The treatment for the motor consequences is orthopedic management, in which the physiotherapist assists the individual in repetitive range of motion exercises, which can be demotivating during the treatment. The Ludic Table (LT), on the other hand, incorporates playfulness into therapy, making it a motivating tool. This research describes the comparative study between kinesiotherapy techniques and exercises using the LT, applied to the development of upper limb movements. For this, fourteen volunteers were divided into groups, submitted to interventions according to the techniques, and evaluated using systems such as goniometry, HAQ-DI, GMFM-88, and neurofunctional assessment. In general, it can be stated that regardless of the intervention, the individuals obtained gain in movements (minimum average of 7 degrees) and that the use of the LT allows the development of the angular amplitude and the reduction of the effects of spasticity. The individuals submitted to the intervention through the LT obtained the development of a greater number of articular movements of the shoulder and elbow.

References
- Lundy-Ekman L (2000) Neuroscience: Fundamental for Rehabilitation, 1a. Editora Guanabara Koogan, Rio de JaneiroGoogle Scholar
- Lüscher TF (2015) Stroke: cardiac causes and their management. Eur Heart J 36:2339–2341. https://doi.org/10.1093/eurheartj/ehv374Article PubMed Google Scholar
- Markus H (2016) Stroke: causes and clinical features. Medicine (Baltimore) 44:515–520. https://doi.org/10.1016/j.mpmed.2016.06.006Article Google Scholar
- Chen S, Zeng L, Hu Z (2014) Progressing haemorrhagic stroke: categories, causes, mechanisms and managements. J Neurol 261:2061–2078. https://doi.org/10.1007/s00415-014-7291-1Article PubMed PubMed Central Google Scholar
- Pallesen H, Bjerk M, Pedersen AR et al (2019) The effects of high-intensity aerobic exercise on cognitive performance after stroke: a pilot randomised controlled trial. J Cent Nerv Syst Dis 11:117957351984349. https://doi.org/10.1177/1179573519843493Article Google Scholar
- Hurley MA (2014) Light smoking at base-line predicts a higher mortality risk to women than to men; evidence from a cohort with long follow-up. BMC Public Health 14. https://doi.org/10.1186/1471-2458-14-95
- Carlton C, Banks M, Sundararajan S (2018) Oral contraceptives and ischemic stroke risk. Stroke 49:e157–e159. https://doi.org/10.1161/STROKEAHA.117.020084Article PubMed Google Scholar
- LaRusso L (2016) Obesity, oral contraceptives, and stroke risk. Nurs Womens Health 20:240. https://doi.org/10.1016/j.nwh.2016.04.007Article Google Scholar
- Truelsen T, Begg S (2006) The global burden of cerebrovascular disease. World Heal OrganGoogle Scholar
- World Health Organization, WHO (2014) Global status report on noncommunicable diseases 2014. 298
- WHO (2018) The top 10 causes of death. Switzerland
- Thrift AG, Thayabaranathan T, Howard G et al (2017) Global stroke statistics. Int J Stroke 12:13–32. https://doi.org/10.1177/1747493016676285Article PubMed Google Scholar
- Williams MR (2018) A pilot study into reaching performance after severe to moderate stroke using upper arm support. PLoS One 13:e0200787. https://doi.org/10.1371/journal.pone.0200787Article PubMed PubMed Central Google Scholar
- de Santana NM, dos Santos Figueiredo FW, de Melo Lucena DM et al (2018) The burden of stroke in Brazil in 2016: an analysis of the Global Burden of Disease study findings. BMC Res Notes 11:735. https://doi.org/10.1186/s13104-018-3842-3Article PubMed PubMed Central Google Scholar
- Hanger HC, Wills KL, Wilkinson T (2014) Classification of falls in stroke rehabilitation – not all falls are the same. Clin Rehabil 28:183–195. https://doi.org/10.1177/0269215513496801Article PubMed Google Scholar
- Howard VJ, Safford MM, Allen S et al (2016) Stroke symptoms as a predictor of future hospitalization. J Stroke Cerebrovasc Dis 25:702–709. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.11.040Article PubMed PubMed Central Google Scholar
- Gao L, Meschia JF, Judd SE et al (2012) What stroke symptoms tell us: association of risk factors and individual stroke symptoms in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. J Stroke Cerebrovasc Dis 21:411–416. https://doi.org/10.1016/j.jstrokecerebrovasdis.2012.04.009Article PubMed PubMed Central Google Scholar
- Singer JC, Mansfield A, Danells CJ et al (2013) The effect of post-stroke lower-limb spasticity on the control of standing balance: inter-limb spatial and temporal synchronisation of centres of pressure. Clin Biomech 28:921–926. https://doi.org/10.1016/j.clinbiomech.2013.07.010Article Google Scholar
- Burke D, Wissel J, Donnan GA (2013) Pathophysiology of spasticity in stroke. Neurology 80. https://doi.org/10.1212/wnl.0b013e31827624a7
- Minutoli VP, Delfino M, Tortoza C (2007) Effect of isokinetic continuous passive mobilization in spastic hemiplegia. Acta Fisiátrica 14:142–148Google Scholar
- Francisco GE, McGuire JR (2012) Poststroke spasticity management. Stroke 43:3132–3136. https://doi.org/10.1161/STROKEAHA.111.639831Article PubMed Google Scholar
- Li S, Francisco GE (2015) New insights into the pathophysiology of post-stroke spasticity. Front Hum Neurosci 9:1–9. https://doi.org/10.3389/fnhum.2015.00192Article Google Scholar
- O’Dwyer NJ, Ada L, Neilson PD (1996) Spasticity and muscle contracture following stroke. Brain 119:1737–1749. https://doi.org/10.1093/brain/119.5.1737Article PubMed Google Scholar
- Thilmann AF, Fellows SJ, Garms E (1991) The mechanism of spastic muscle hypertonus variation in reflex gain over the time course of spasticity. Brain 114A:233–244. https://doi.org/10.1093/oxfordjournals.brain.a101859Article Google Scholar
- Hung Y-X, Huang P-C, Chen K-T, Chu W-C (2016) What do stroke patients look for in game-based rehabilitation. medicine (Baltimore) 95:e3032. https://doi.org/10.1097/MD.0000000000003032
- Gilmore PE, Spaulding SJ, Vandervoort AA (2004) Hemiplegic shoulder pain: implications for occupational therapy treatment. Can J Occup Ther 71:36–46. https://doi.org/10.1177/000841740407100108Article PubMed Google Scholar
- Lako A, Cani E, Bara R et al (2015) Hemiplegy and physiotherapeutic rehabilitation in albania in comparison with international statistics. J Assoc English Lang Am Stud 4:69–76. https://doi.org/10.0001/(aj).v4i10.1180Article Google Scholar
- Shahab F, Hunaifi I (2021) A Hemichorea and Hemiplegy as a clinical manifestation of acute ischemic stroke. J Kedokt. 10.29303/jku.v9i4.435
- Hsieh Y, Wu C, Wang W et al (2017) Bilateral robotic priming before task-oriented approach in subacute stroke rehabilitation: a pilot randomized controlled trial. Clin Rehabil 31:225–233. https://doi.org/10.1177/0269215516633275Article PubMed Google Scholar
- Scrutinio D, Lanzillo B, Guida P et al (2017) Development and validation of a predictive model for functional outcome after stroke rehabilitation. Stroke 48:3308–3315. https://doi.org/10.1161/STROKEAHA.117.018058Article PubMed Google Scholar
- López-Liria R, Vega-Ramírez FA, Rocamora-Pérez P et al (2016) Comparison of two post-stroke rehabilitation programs: a follow-up study among primary versus specialized health care. PLoS One 11:e0166242. https://doi.org/10.1371/journal.pone.0166242CAS Article PubMed PubMed Central Google Scholar
- Chung BPH (2018) Stratification of stroke rehabilitation: five-year profiles of functional outcomes. Hong Kong Physiother J 38:141–147. https://doi.org/10.1142/S1013702518500129Article PubMed PubMed Central Google Scholar
- Krakauer JW (2006) Motor learning: its relevance to stroke recovery and neurorehabilitation. Curr Opin Neurol 19:84–90Article Google Scholar
- Yamato TP, Pompeu JE, Pompeu SMAA, Hassett L (2016) Virtual reality for stroke rehabilitation. Phys Ther 96:1508–1513. https://doi.org/10.2522/ptj.20150539Article PubMed Google Scholar
- Barros SLA, Passos NRS, Nunes MASN (2013) Initial study on stroke and serious game for application in the UFS Assistive Technology Center’s “Stroke” Project. GEINTEC J 3:129–143. https://doi.org/10.7198/S2237-0722201300010012Article Google Scholar
- Thompson-Butel AG, Lin G, Shiner CT, McNulty PA (2015) Comparison of three tools to measure improvements in upper-limb function with poststroke therapy. Neurorehabil Neural Repair 29:341–348. https://doi.org/10.1177/1545968314547766Article PubMed Google Scholar
- Borghese NA, Pirovano M, Lanzi PL et al (2013) Computational intelligence and game design for effective at-home stroke rehabilitation. Games Health J 2:81–88. https://doi.org/10.1089/g4h.2012.0073Article PubMed PubMed Central Google Scholar
- Hoda M, Hoda Y, Hage A et al (2015) Cloud-based rehabilitation and recovery prediction system for stroke patients. Cluster Comput 18:803–815. https://doi.org/10.1007/s10586-015-0448-6Article Google Scholar
- Kornet M, Głowacka-Mrotek I, Nowacka K, Hagner W (2017) Upper limb treatment techniques for stroke survivors. J Educ Heal Sport 7:234–257. https://doi.org/10.5281/zenodo.423313Article Google Scholar
- de Caneda MAG, Fernandes JG, de Almeida AG et al (2006) Reliability of neurological assessment scales in patients with stroke. Arq Neuropsiquiatr 64:690–697. https://doi.org/10.1590/S0004-282X2006000400034Article PubMed Google Scholar
- Alberti EJ, Pichorim SF, Brawerman A (2019) An obstetric brachial plexus lesion rehabilitation platform. Res Biomed Eng 35:167–172. https://doi.org/10.1007/s42600-019-00018-xArticle Google Scholar
- Pichorim SF (2019) Study on the relationship between higher members’ joint angles and the hand position on a table. 1–16. (in Portuguese). http://paginapessoal.utfpr.edu.br/pichorim/PESQUISA
- Bruce B, Fries JF (2003) The Stanford Health Assessment Questionnaire: dimensions and practical applications. Health Qual Life Outcomes 1:20. https://doi.org/10.1186/1477-7525-1-20Article PubMed PubMed Central Google Scholar
- Bruce B, Fries JF (2005) The Health Assessment Questionnaire (HAQ). Clin Exp Rheumatol 23:S14–S18CAS Google Scholar
- Riddle DL, Rothstein JM, Lamb RL (1987) Goniometric reliability in a clinical setting: shoulder measurements. Phys Ther 67:668–673. https://doi.org/10.1093/ptj/67.5.668CAS Article PubMed Google Scholar
- Rothstein JM, Miller PJ, Roettger RF (1983) Goniometric reliability in a clinical setting. Elbow and knee measurements. Phys Ther 63:1611–1615. https://doi.org/10.1093/ptj/63.10.1611CAS Article PubMed Google Scholar
- Russell DJ, Rosenbaum PL, Wright M, Avery LM (2013) Gross Motor Function Measure (GMFM-66 & GMFM-88) User’s Manual, 2nd ed. Mac Keith Press
- Alberti EJ, Brawerman A, Pichorim SF (2020) Influence of the layout of the Ludic Tables on the amplitude and concentration of upper limb movements. In: Proceedings of the XXVII Brazilian Congress in Biomedical Engineering. Vitória, pp 13–17
- Brewer BW, Van Raalte JL, Cornelius AE et al (2000) Psychological factors, rehabilitation adherence, and rehabilitation outcome after anterior cruciate ligament reconstruction. Rehabil Psychol 45:20–37. https://doi.org/10.1037/0090-5550.45.1.20Article Google Scholar
- Cockburn JT, Thomas FN, Cockburn OJ (1997) Solution-focused therapy and psychosocial adjustment to orthopedic rehabilitation in a work hardening program. J Occup Rehabil 7:97–106. https://doi.org/10.1007/BF02765880Article Google Scholar
- Granata KP, Ikeda AJ, Abel MF (2000) Electromechanical delay and reflex response in spastic cerebral palsy. Arch Phys Med Rehabil 81:888–894. https://doi.org/10.1053/apmr.2000.5578CAS Article PubMed Google Scholar
- Sahrmann SA, Norton BJ (1977) The relationship of voluntary movement of spasticity in the upper motor neuron syndrome. Ann Neurol 2:460–465. https://doi.org/10.1002/ana.410020604CAS Article PubMed Google Scholar
[ARTICLE] Short-term Effect of Noninvasive Brain Stimulation Techniques on Motor Impairment in Chronic Ischemic Stroke: A Systematic Review with Meta-Analysis – Full Text
Posted by Kostas Pantremenos in Paretic Hand, tDCS/rTMS on March 8, 2022
Abstract
Background: In recent years, noninvasive brain stimulation (NIBS) has shown promise for stroke rehabilitation as a novel nonpharmaceutical neuromodulatory intervention with attractive neurophysiological theories backing it up.
Objective: To find out the short-term effects of NIBS techniques on motor impairment in chronic ischemic stroke.
Materials and Methods: A systematic review with meta-analysis was performed separately for transcranial direct current stimulation (tDCS), transcranial magnetic stimulation (TMS), and studies that combined both, utilizing various databases for a period spanning from 2001 to 2019. Good-quality randomized controlled trials (RCTs) on chronic ischemic stroke cases with homogeneous clinical upper motor short-term outcome measures were considered for the meta-analysis. RevMan 5.1 software was used for the meta-analysis. Meta-analysis registration: CRD42021196299; https://www.crd.york.ac.uk/PROSPERO
Results: A total of 319 studies were identified initially. After necessary filters to comply with the strict recruitment criteria, only four studies qualified, two each for tDCS and TMS and none qualified for analysis under the combined category. tDCS showed a nonsignificant effect on the upper limb motor function improvement (−0.10 [95% confidence interval {CI}: −0.84 to 0.64; I2 0%; P = 0.8]), whereas the repetitive TMS showed a significant effect (0.75 [95% CI: 0.03–1.48; I2 0%; P = 0.04]). The safety analysis did not reveal any major concerns for several published protocols.
Conclusions: tDCS alone did not significantly benefit motor recovery; rTMS was effective in providing immediate functional benefits in chronic ischemic stroke. While the current stroke rehabilitation protocols with NIBS appear safe, more good-quality stratified RCTs with more innovative experimental protocols are needed to analyze and quantify the efficacy of these techniques in stroke rehabilitation.
—————————
Stroke is a sudden nonconvulsive focal neurological deficit of vascular etiology due to infarction or hemorrhage into brain or spinal cord parenchyma in the anterior or posterior circulation territories. Around 15 million people worldwide suffer from stroke every year. Stroke is the leading cause of adult disability in the elderly, and it leaves around a third of victims permanently disabled. Contingent upon the site and the extent of the brain lesion, post-stroke disabilities vary in survivors, and rehabilitation measures are important to improve the quality of life in stroke survivors. Early rehabilitation is the key for recovery and involves multidisciplinary approaches. However, conventional stroke rehabilitation seldom succeeds in achieving a good recuperation in a vast majority of the cases. Only few rehabilitation techniques have gold standard protocols, and this holds especially true for several newly evolving technologies. Neuromodulation methods such as noninvasive brain stimulation (NIBS) include transcranial electrical stimulation (TES) which in turn can be direct or alternate current stimulation (tDCS/ACS) and transcranial magnetic stimulation (TMS) which all have now been intensively investigated as facilitatory or inhibitory types of stimulations[1] to induce desirable priming effects for routine neurorehabilitation.
A Cochrane review published in 2013 reported unimpressive effects on motor improvement with repetitive transcranial magnetic stimulation rTMS and partly attributed it to the heterogeneity of the trials.[2] This study covered publications only till 2012, but analysed 19 trials involving a total of 588 participants. It reported meta-analysis of two heterogenous trials with a total of 183 participants which showed rTMS treatment not being associated with any significant increase in the functional status after stroke with a Barthel index score mean difference (MD) of 15.92 with 95% confidence interval (CI) of − 2.11 to 33.95. Four other trials with a total of 73 participants also did not find any statistically significant effect on motor function with MD of 0.51 and 95% CI of − 0.99 to 2.01. Subgroup analyses of different stimulation frequencies or duration of illness also showed no significant difference. But they reported that the adverse events (AEs) in the rTMS groups were mild, with the most common event being transient or mild headaches (2.4%) and local discomfort at the site of the stimulation. They concluded against the routine use of rTMS for the treatment of stroke and recommended further trials with larger sample sizes to determine a suitable rTMS protocol and the long-term functional outcome. Another meta-analysis reported in 2016 covered 23 studies till 2015 and generated 29 comparisons: 14 on tDCS and 15 on rTMS. Using random-effects models, they indicated improvements in paretic limb force after tDCS and rTMS rehabilitation. They reported positive effects on force production with two stimulation protocols, one on increasing cortical activity in the ipsilesional hemisphere and the other on decreasing cortical activity in the contralesional hemisphere. They also reported improved reduction of force across acute, subacute, and chronic phases of stroke with both tDCS and rTMS. While the first meta-analysis was a Cochrane review, the second was a publication in a more technical journal, Brain Stimulation. But the differences between the conclusions are obviously most striking. It is, therefore, important to revisit the studies till date, including those conducted from 2016 till date, and make sense of the reports of quality studies through a fresh systematic review. In order to avoid too much of heterogeneity which makes meta-analysis difficult, we confined our studies to randomized controlled trials (RCTs) of NIBS on upper limb motor rehabilitation in chronic ischemic stroke patients and aimed to determine the effectiveness and safety through a systematic review.[…]
[Abstract] Decoding hand and Wrist Movement Intention From Chronic Stroke Survivors With Hemiparesis Using A Wearable, User-Centric Neural Interface – Research Poster
Posted by Kostas Pantremenos in Paretic Hand, REHABILITATION on March 8, 2022
Research Objectives
To investigate the use of the NeuroLife® Sleeve to decode hand and wrist movements in chronic stroke survivors with hemiparesis for the eventual control of assistive devices. The NeuroLife Sleeve is a wearable garment worn on the forearm with 150 embedded electrodes spread across the forearm to record high-resolution surface electromyography (sEMG).
Design
Using the NeuroLife Sleeve, EMG activity was recorded while participants attempted 12 hand and wrist movements during three separate 2-hour sessions.
Setting
All studies were conducted at Battelle’s laboratories. Participants were referred from therapists in the Columbus area or recruited from local support groups.
Participants
Six chronic stroke survivors (>6 months after stroke) with upper extremity motor impairment (Upper Extremity Fugl-Meyer: 7-38).
Interventions
Participants followed a series of hand and wrist movements on a computer monitor and performed the shown movement to the best of their ability.
Main Outcome Measures
EMG decoding accuracy to correctly predict movement intention from EMG data recorded from the NeuroLife Sleeve.
Results
We demonstrate that the NeuroLife Sleeve can accurately decode 12 functional hand and wrist movements, including multiple types of grasps with 75% average accuracy across subjects in simulated real-time situations. These results highlight the utility of the NeuroLife Sleeve and decoding algorithms as potential control systems for assistive devices. Collected feedback from stroke survivors who tested the system demonstrate the user-centric design of the NeuroLife Sleeve, including being simple to don and doff, comfortable, portable, and lightweight.
Conclusions
The NeuroLife Sleeve represents a user-centric, platform technology to record and decode high-definition electromyography for the eventual real-time control of assistive devices.
[Abstract] Is mental practice effective for treating upper extremity deficits in individuals with hemiparesis after stroke? A Cochrane Review summary with commentary
Posted by Kostas Pantremenos in Paretic Hand on March 6, 2022
Abstract
Background: Mental practice, which is proposed for the rehabilitation of people post-stroke, is a training method based on the repetition of the internal representation of a movement or a task with the aim of improving the performance.
Objective: The aim of this commentary is to discuss Cochrane evidence on the efficacy of mental practice in improving upper extremity functioning in people with hemiparesis after stroke.
Methods: To summarize and discuss from a rehabilitation perspective the published Cochrane Review “Mental practice for treating upper extremity deficits in individuals with hemiparesis after stroke” by Barclay et al.RESULTS:This Cochrane Review included 25 studies involving 676 people with hemiparesis after stroke. The authors analysed the following two comparisons: mental practice versus conventional therapy and mental practice in addition to other treatment versus other treatment (±placebo).
Conclusions: Mental practice in addition to other treatment, compared with other treatment, probably improves upper extremity activity and function in people with hemiparesis after stroke.
Similar articles
- Mental practice for treating upper extremity deficits in individuals with hemiparesis after stroke.Barclay RE, Stevenson TJ, Poluha W, Semenko B, Schubert J.Cochrane Database Syst Rev. 2020 May 25;5(5):CD005950. doi: 10.1002/14651858.CD005950.pub5.PMID: 32449959 Free PMC article.
- Mental practice for treating upper extremity deficits in individuals with hemiparesis after stroke.Barclay-Goddard RE, Stevenson TJ, Poluha W, Thalman L.Cochrane Database Syst Rev. 2011 May 11;2011(5):CD005950. doi: 10.1002/14651858.CD005950.pub4.PMID: 21563146 Free PMC article. Updated. Review.
- Combined functional task practice and dynamic high intensity resistance training promotes recovery of upper-extremity motor function in post-stroke hemiparesis: a case study.Patten C, Dozono J, Schmidt S, Jue M, Lum P.J Neurol Phys Ther. 2006 Sep;30(3):99-115. doi: 10.1097/01.npt.0000281945.55816.e1.PMID: 17029654
- Interventions for improving upper limb function after stroke.Pollock A, Farmer SE, Brady MC, Langhorne P, Mead GE, Mehrholz J, van Wijck F.Cochrane Database Syst Rev. 2014 Nov 12;2014(11):CD010820. doi: 10.1002/14651858.CD010820.pub2.PMID: 25387001 Free PMC article. Review.
- Constraint-induced movement therapy for upper extremities in people with stroke.Corbetta D, Sirtori V, Castellini G, Moja L, Gatti R.Cochrane Database Syst Rev. 2015 Oct 8;2015(10):CD004433. doi: 10.1002/14651858.CD004433.pub3.PMID: 26446577 Free PMC article. Review.
[Abstract] Treatment of upper limb spasticity with inhibitory repetitive transcranial magnetic stimulation: A randomized placebo-controlled trial
Posted by Kostas Pantremenos in Paretic Hand, Spasticity on March 6, 2022
Abstract
BACKGROUND: Upper limb dysfunction is a frequent complication after stroke impairing outcome. Inhibitory repetitive transcranial magnetic stimulation (rTMS) applied over the contralesional hemisphere is supposed to enhance the positive effects of conventional rehabilitative treatment. OBJECTIVE:This double-blind randomized placebo-controlled trial investigated whether inhibitory rTMS as add-on to standard therapy improves upper limb spasticity.
METHODS: Twenty-eight patients (aged 44 to 80 years) with unilateral stroke in the middle cerebral artery territory were analyzed. Participants were randomly assigned to inhibitory, low-frequency (LF-) rTMS (n = 14) or sham-rTMS (n = 14). The primary outcome measure was the spasticity grade, which was assessed with the Modified Ashworth Scale (MAS). In addition, the Fugl-Meyer-Assessment (FMA) for the upper extremity (UE) and a resting-state fMRI were performed to measure motor functions and the sensorimotor network, respectively.
RESULTS: The MAS score was reduced in the LF-rTMS group only, whereas the FMA score improved in both groups over time. Regarding the fMRI data, both groups activated typical regions of the sensorimotor network. In the LF-rTMS group, however, connectivity to the left angular gyrus increased after treatment.
CONCLUSION: Changes in functional connectivity in patients receiving inhibitory rTMS over the contralesional motor cortex suggest that processes of neuronal plasticity are stimulated.
Source: NeuroRehabilitation, vol. 49, no. 3, pp. 425-434, 2021
[Abstract] Impact of the robotic-assistance level on upper extremity function in stroke patients receiving adjunct robotic rehabilitation: sub-analysis of a randomized clinical trial
Posted by Kostas Pantremenos in Paretic Hand, Rehabilitation robotics on March 2, 2022
Background
Robotic therapy has been demonstrated to be effective in treating upper extremity (UE) paresis in stroke survivors. However, it remains unclear whether the level of assistance provided by robotics in UE training could affect the improvement in UE function in stroke survivors. We aimed to exploratorily investigate the impact of robotic assistance level and modes of adjustment on functional improvement in a stroke-affected UE.
Methods
We analyzed the data of 30 subacute stroke survivors with mild-to-severe UE hemiplegia who were randomly assigned to the robotic therapy (using ReoGo System) group in our previous randomized clinical trial. A cluster analysis based on the training results (the percentage of each stroke patient’s five assistance modes of robotics used during the training) was performed. The patients were divided into two groups: high and low robotic assistance groups. Additionally, the two groups were sub-categorized into the following classes based on the severity of UE functional impairment: moderate-to-mild [Fugl-Meyer Assessment (FMA) score ≥ 30] and severe-to-moderate class (FMA < 30). The outcomes were assessed using FMA, FMA-proximal, performance-time in the Wolf motor function test (WMFT), and functional assessment scale (FAS) in WMFT. The outcomes of each class in the two groups were analyzed. A two-way analysis of variance (ANOVA) was conducted with robot assistance level and severity of UE function as explanatory factors and the change in each outcome pre- and post-intervention as the objective factor.
Results
Overall, significant differences of the group × severity interaction were found in most of the outcomes, including FMA-proximal (p = 0.038, η2 = 0.13), WMFT-PT (p = 0.021, η2 = 0.17), and WMFT-FAS (p = 0.045, η2 = 0.14). However, only the FMA score appeared not to be significantly different in each group (p = 0.103, η2 = 0.09).
Conclusion
An optimal amount of robotic assistance is a key to maximize improvement in post-stroke UE paralysis. Furthermore, severity of UE paralysis is an important consideration when deciding the amount of assistance in robotic therapy.
Publisher URL: https://link.springer.com/article/10.1186/s12984-022-00986-9
Open URL: https://jneuroengrehab.biomedcentral.com/track/pdf/10.1186/s12984-022-00986-9
[WEB] Myomo’s MyoPro Shows Clinically Significant Gains in Motor Function, Per New Research
Posted by Kostas Pantremenos in Paretic Hand, TBI on February 24, 2022

New research measuring the benefits of Myomo Inc’s MyoPro myoelectric orthosis found “statistically significant improvements” in a number of motor function measurements, the company announces.
The study, titled “Myoelectric Arm Orthosis in Motor Learning-Based Therapy for Chronic Deficits After Stroke and Traumatic Brain Injury,” was funded by the U.S. Army Medical Research Acquisition Activity, and supported by the Office of Secretary of Defense for Health Affairs, through the Orthotics and Prosthetics Outcomes Research Program.
The research, which adds to the body of evidence supporting the utility of MyoPro in stroke and traumatic brain injury patients, was published in the peer-reviewed journal Frontiers in Neurology.
The study followed 13 individuals with chronic moderate-to-severe arm weakness from stroke or traumatic brain injury. Outcomes were collected from in-therapy sessions and home use. The study was conducted by lead investigator and grant recipient Svetlana Pundik, MD and colleagues at the Louis Stokes Cleveland Veterans Administration Medical Center.
The authors note that “Statistically significant and clinically meaningful improvements were observed on Fugl-Meyer (+7.5 points). Gains were seen at week 3, increased further through the in-clinic phase and were maintained during the home phase. Statistically significant changes in Modified Ashworth Scale, Range of Motion, and Chedoke Arm and Hand Activity Inventory were seen early during the in-clinic phase. The Orthotic and Prosthetic User’s Survey demonstrated satisfaction with the device throughout study participation. Both stroke and TBI participants responded to the intervention.”
“Use of MyoPro in motor learning-based therapy resulted in clinically significant gains with a relatively short duration of in-person treatment,” the authors conclude.
“We are encouraged by the continually increasing body of evidence that demonstrates that the use of MyoPro results in clinically significant gains in a relatively short duration of in-person treatment. We look forward to expanding on these results which may lead to innovations in treatment for patients who suffer from chronic upper extremity weakness. This data supports why the payer community both in the U.S. and Germany continue to expand its reimbursement coverage for patients. We thank the clinicians and patients involved in this study.”
— Harry Kovelman, MD, Chief Medical Officer of Myomo
[Source(s): Myomo Inc, Business Wire]

