Posts Tagged finger
[Abstract + Referrences] Interactive and Assistive Gloves for Post-stroke Hand Rehabilitation – Conference paper
The inability to fold fingers and move the wrist due to stroke, cardiovascular injuries or emotional shock is one of the most common illnesses wherein conventional rehabilitation therapies are propitious in functional recovery. However, implementation of these methods is laborious, costly and resource-intensive. The structure of the prevailing healthcare system challenges us to design innovative rehabilitation techniques. A desktop-based interactive hand rehabilitation system is, therefore, developed to ensure a more feasible and cost- effective approach. It will encourage a higher number of participation as it is designed to be interesting and interactive than the traditional physiotherapy sessions. The system uses sensor data from Arduino microcontroller and is programmed in Processing IDE allowing user interaction with a virtual environment. The data is further received in an Android application from where it is stored using ThingSpeak Cloud.
- 1.Popescu, D., Ivanescu, M., & Popescu, R. (2016). Post-stroke assistive rehabilitation robotic gloves. In 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), IEEE Explore, December 12, 2016.Google Scholar
- 2.Fischer, H. C., Triandafilou, K. M., Thielbar, K. O., Ochoa, J. M., Lazzaro, E. D. C., Pacholski, K. A., et al. (2015). Use of a portable assistive glove to facilitate rehabilitation in stroke survivors with severe hand impairment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(3), 344–351.CrossRefGoogle Scholar
- 3.Prange, G. B., Hermens, H. J., Schäfer, J., Nasr, N., Mountain, G., Stienen, A. H. A., & Amirabdollahian, F. SCRIPT: TELE-ROBOTICS AT HOME Functional architecture and clinical application. Community Research and Development Information Service (CORDIS), Nov 01, 2011–Dec 31, 2014.Google Scholar
- 4.Shin, J.-H., Kim, M.-Y. Ji-Yeong, Lee, Jeon, Suyoung Kim, Y.-J., Lee, S., Seo, B., et al. (2016). Effects of virtual reality-based rehabilitation on distal upper extremity function and health-related quality of life: a single-blinded, randomized controlled trial. Journal of Neuro Engineering and Rehabilitation, 13, 17.CrossRefGoogle Scholar
- 5.Patel, D. L., Tapase, H. S., Landge, P. A., More, P. P., & Bagade, A. P. (2008). SMART HAND GLOVES FOR DISABLE PEOPLE. International Research Journal of Engineering and Technology (IRJET), 05(04).Google Scholar
- 6.Borghetti, M., Sardini, E., & Serpelloni, M. (2013). Sensorized glove for measuring hand finger flexion for rehabilitation purposes. IEEE Transactions on Instrumentation and Measurement, 62(12), 3308–3314.CrossRefGoogle Scholar
- 7.Doukas, C., Maglogiannis, I. (2011). Managing wearable sensor data through cloud computing. In 2011 Third IEEE International Conference on Cloud Computing Technology and Science.Google Scholar
The dexterity of hands and fingers is related to the strength of control by cortico‐motoneuronal connections which exclusively exist in primates. The cortical command is associated with a task‐specific, rapid proprioceptive adaptation of forces applied by hands and fingers to an object. This neural control differs between “power grip” movements (e.g., reach and grasp of a cup) where hand and fingers act as a unity and “precision grip” movements (e.g., picking up a raspberry) where fingers move independently from the hand.
In motor tasks requiring hands and fingers of both sides a “neural coupling” (reflected in bilateral reflex responses to unilateral stimulations) coordinates power grip movements (e.g., opening a bottle). In contrast, during bilateral precision movements, such as playing piano, the fingers of both hands move independently, due to a direct cortico‐motoneuronal control, while the hands are coupled (e.g., to maintain the rhythm between the two sides).
While most studies on prehension concern unilateral hand movements, many activities of daily life are tackled by bilateral power grips where a neural coupling serves for an automatic movement performance. In primates this mode of motor control is supplemented by a system that enables the uni‐ or bilateral performance of skilled individual finger movements.
DigiTrainer is a tool for reducing the muscle tone and increasing mobility in the fingers
SIMPLY EFFECTIVE HAND THERAPY
DigiTrainer (formerly RehaDigit) can reduce the muscle tone and increase mobility in the fingers of the hand.
Following a stroke, brain injury or spinal cord injury, for example, the muscles and soft-tissues of the hand can become tight and the sensory pathways disrupted.
In order to recover lost tactile sense and to trigger new movement capabilities, intensive rehabilitation is needed and this should start as soon as possible following the injury.
For example, with a cervical level spinal cord injury it is important to avoid complications by early positioning, stretches and oedema management. The hand is perhaps the most important resource after the brain in these cases so the hands must be kept supple if we are to have a chance of developing functional activities. The DigiTrainer makes intensive rehab possible.
DigiTrainer provides both motor and sensory rehabilitation in a simple and effective manner. Through a series of finger-rolls the patient’s fingers are alternately bent and stretched (flexion/extension of the finger joints). The specially designed motor induces a slight vibration into the hand and this supports the relaxation of the finger muscles.
DigiTrainer delivers the following functions
works for the left and the right hand
adjustable rotation velocity
adjustable vibration frequency
continues or periodic crescendo and decrescendo vibrations
ergonomic hand rest (height adjustable)
usage via touch screen
therapy time: 5-30 min
offer price £2,660 ex VAT and shipping
INDICATIONS FOR USE
DigiTrainer can be used for the following indications:
passive bend and stretch movement of the II-V fingers in the rehabilitation of patients with hemi- and tetraparesis from moderate to strong paresis of the upper extremity
for example, after stroke, paraplegia, traumatic brain injury, M. Parkinson or joint injuries
for patients without distal activity of the wrist and finger flexors
incomplete and complete motoric paraplegia after spinal cord injury
for patients with spasticity in arms, low blood circulation and impaired hand mobility
for patients with functional loss after injury or surgery
WHAT IT DOES
DigiTrainer is a CE marked Class II medical device. The items included with the product are 1 DigiTrainer, 2 adapter plates for hand rest (25mm and 20°), 1 power supply and appropriate cable and 1 user manual
Check out the video below to see DigiTrainer in action. The unit accomodates left or right hands of various sizes and allows easy programming via a touch screen interface. The therapist can control the specific nature and speed of the movement as the DigiTrainer stretches and massages the fingers. Integrated vibration relaxes tight fingers in a safe and effective way. DigiTrainer has a unique operating principle – most devices focus on movement whereas DigiTrainer also targets the sensorimotor system. Studies have confirmed the effectiveness of the device.
The DigiTrainer is generally a safe product but we recommend initial supervision and guidance is obtained from knowledgeable person
Contraindications for DigiTrainer include patients with:
fully developed shoulder-arm syndrome
acute arthritis in finger joints, thumb joints and/or wrist
severe contractures of the finger joints, thumb joints and/or wrist
acute disorders requiring special treatment of fingers or hand (e.g. tendinitis)
massively swollen hand
allergic exanthema of hand
Stefan Hesse, H Kuhlmann, J Wilk, C Tomelleri and Stephen GB Kirker (2008) “A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: A case series in chronic and acute stroke patients”
Journal of NeuroEngineering and Rehabilitation20085:21
R. Buschfort, J. Brocke, A. Heß, C. Werner, A. Waldner, and Stefan Hesse,
”Arm Studio to intensify upper limb rehabilitation after stroke: Concept, acceptance, utilisation and preliminary clinical results”
J Rehabil Med 2010; 42: 310–314
Stefan Hesse, Anke Heß, Cordula Werner, Nadine Kabbert, Rüdiger Buschfort
“Effect on arm function and cost of robot-assisted group therapy in subacute patients with stroke and a moderately to severely affected arm: a randomized controlled trial”
Clinical Rehabilitation 2014, Vol. 28(7) 637–647
A. Waldner, C. Werner, S. Hesse
“Robot assisted therapy in neurorehabilitation”
EUR MED PHYS 2008;44(Suppl. 1 to No. 3)
Visit site —-> DigiTrainer
[WEB SITE] Physical Therapist From Vive Health Demonstrates 8 Easy Hand & Finger Exercises Using Therapy Putty on YouTube – Video
Losing grip strength is a common byproduct of arthritis and a number of other health issues. Following a fast and simple set of exercises using Therapy Putty can help. Vive Health demonstrates them in a free video that is winning wide praise.
Naples, FL (PRUnderground) February 21st, 2020
Arthritis, age, and many other factors can lead to weakened grip and hand strength. Of course, this has a negative lifestyle impact that can’t be understated. Always on top of providing easy-to-follow and functional wellness tips and products Vive Health recently celebrated the release of a compelling new YouTube video addressing this serious concern, “8 Easy Hand & Finger Exercises Using Therapy Putty” with Karen Miller, PTA doing the instruction and demonstration. Only requiring a few minutes a day, and with Therapy Putty being quite affordable, this is a video that those who are going through hand and finger pain or diminishing coordination should not miss.
“For someone who has arthritis this could be the best four minutes they could ever spend watching our Therapy Putty video,” remarked a spokesperson from Vive Health. “Karen is well spoken and knowledgeable and does an amazing job showing these simple hand and finger exercises. These exercises can help improve dexterity and fine motor skills, while also reducing or removing stress. They are great for physical therapy, occupational therapy and rehabbing a hand or hands after surgery.”
Vive Health offers premium quality Therapy Putty in a number of different strengths so that they can be used in a progressive way to help regain or build hand and finger strength and coordination. Free shipping is even available for orders over $39 in the United States.
About Vive Health
We are committed to helping you live better. Whether you are recovering from an injury, managing your health, or caring for a loved one, our mission is to provide you with what you need to feel confident and in control.
We strive to separate from the pack and become your trustworthy and affordable online medical equipment store; providing products that you’d be proud to use yourself, give to your loved ones or patients
[Abstract] Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings
This video demonstrates how to use FES, Functional Electrical Stimulation, to engage the muscles of the arm to extend the fingers.
Background. Proprioception of fingers is essential for motor control. Reduced proprioception is common after stroke and is associated with longer hospitalization and reduced quality of life. Neural correlates of proprioception deficits after stroke remain incompletely understood, partly because of weaknesses of clinical proprioception assessments.
Objective. To examine the neural basis of finger proprioception deficits after stroke. We hypothesized that a model incorporating both neural injury and neural function of the somatosensory system is necessary for delineating proprioception deficits poststroke.
Methods. Finger proprioception was measured using a robot in 27 individuals with chronic unilateral stroke; measures of neural injury (damage to gray and white matter, including corticospinal and thalamocortical sensory tracts), neural function (activation of and connectivity of cortical sensorimotor areas), and clinical status (demographics and behavioral measures) were also assessed.
Results. Impairment in finger proprioception was present contralesionally in 67% and bilaterally in 56%. Robotic measures of proprioception deficits were more sensitive than standard scales and were specific to proprioception. Multivariable modeling found that contralesional proprioception deficits were best explained (r2 = 0.63; P = .0006) by a combination of neural function (connectivity between ipsilesional secondary somatosensory cortex and ipsilesional primary motor cortex) and neural injury (total sensory system injury).
Conclusions. Impairment of finger proprioception occurs frequently after stroke and is best measured using a quantitative device such as a robot. A model containing a measure of neural function plus a measure of neural injury best explained proprioception performance. These measurements might be useful in the development of novel neurorehabilitation therapies.