Posts Tagged fine motor control

[Abstract] Fine motor skills predict performance in the Jebsen Taylor Hand Function Test after stroke

Highlights

Three characteristic factors differentiate fine motor control in patients and controls.

The three factors are grip force scaling, motor coordination and speed of movement.

These factors are predictors of 69% of variance for the Jebsen Taylor Hand Function Test.

Abstract

Objective

To determine factors characterizing the differences in fine motor performance between stroke patients and controls. To confirm the relevance of the factors by analyzing their predictive power with regard to the Jebsen Taylor Hand Function Test (JTHFT), a common clinical test of fine motor control.

Methods

Twenty-two people with slight paresis in an early chronic phase following stroke and twenty-two healthy controls were examined.. Performance on the JTHFT, Nine-Hole Peg Test and 2-point discrimination was evaluated. To analyze object manipulation skills, grip forces and temporal measures were examined during 1) lifting actions with variations of weight and surface 2) cyclic movements 3) predictive/reactive catching tasks. Three other aspects of force control included 4) visuomotor tracking 5) fast force changes and 6) grip strength.

Results

Based on 9 parameters which significantly distinguished fine motor performance in the two groups, we identified three principal components (factors): grip force scaling, motor coordination and speed of movement. The three factors are shown to predict JTHFT scores via linear regression (R2=.687, p<.001).

Conclusions

We revealed a factor structure behind fine motor impairments following stroke and showed that it explains JTHFT results to a large extend.

Significance: This result can serve as a basis for improving diagnostics and enabling more targeted therapy.

Source: Fine motor skills predict performance in the Jebsen Taylor Hand Function Test after stroke – Clinical Neurophysiology

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[Abstract] A Longitudinal EMG Study of Complex Upper-limb Movements in Post-stroke Therapy: 2 Changes in Co-ordinated Muscle Activation

Fine motor control is achieved through the co-ordinated activation of groups of muscles, or ‘muscle synergies’. Muscle synergies change after stroke as a consequence of the motor deficit. We investigated the pattern and longitudinal changes in upper-limb muscle synergies during therapy in a largely unconstrained movement in patients with a broad spectrum of post-stroke residual voluntary motor capacity.Electromyography (EMG) was recorded using wireless telemetry from 6 muscles acting on the more-affected upper body in 24 stroke patients at early- and late-therapy during formal Wii-based Movement Therapy sessions, and in a subset of 13 patients at 6-month follow-up. Patients were classified with low, moderate or high motor-function. The Wii-baseball swing was analysed using a non-negative matrix factorisation (NMF) algorithm to extract muscle synergies from EMG recordings based on the temporal activation of each synergy and the contribution of each muscle to a synergy. Motor-function was clinically assessed immediately pre- and post-therapy and at 6-month follow-up using the Wolf Motor Function Test, upper-limb motor Fugl-Meyer Assessment and Motor Activity Log Quality of Movement scale.Clinical assessments and game performance demonstrated improved motor-function for all patients at post-therapy (p0.05). NMF analysis revealed fewer muscle synergies (mean±SE) for patients with low motor-function (3.38±0.2) than those with high motor-function (4.00±0.3) at early-therapy (p=0…

Source: A Longitudinal EMG Study of Complex Upper-limb Movements in Post-stroke Therapy: 2 Changes in Co-ordinated Muscle Activation

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[Bachelor’s thesis] Human-centred research for fine motor control rehabilitation after stroke in the Netherlands – Full Text PDF

Abstract

Stroke disables people globally every day. The rehabilitation process focuses mainly on the big muscle groups and re-learning walking. This is why the upper extremity and fine motor control rehabilitation after a stroke is usually left without significant focus. The dexterity rehabilitation after a stroke is lacking an unambiguous method and the guidelines for stroke rehabilitation present multiple recommendations.

SilverFit is a Dutch wellness technology company, whose focus is to motivate people in rehabilitation and maintain their activity by gamification. The thesis was a part of an international product development project for finding a solution for fine motor control rehabilitation after a stroke. Thesis work focused on an iterative project trying to solve the most effective way for rehabiliating fine motor control after a stroke based on the most recent evidence-based studies and understanding the requirements and problems of the users. The human-centred research was conducted using a Design Thinking -process with methods of online ethnography, interviews and observation.

The results from the evidence-based research and the human-centred research were compared through a theme analysis. The thesis showed that the most problematic thing in fine motor control rehabiliation after a stroke is the lack of knowledge, motivation and time, which together cause feelings of insecurity in the therapists and the stroke survivors.

The recommendation for solving the current situation is to create a technological solution, which is always accessible for the stroke survivor, supports the decisions of the therapists based on the most recent evidence-based studies, gives supportive feedback during the therapy and provides realistic results about the progress of the rehabilitation. The thesis provides the first stage of an iterative product development process.

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[Bachelor’s thesis] Human-centred research for fine motor control rehabilitation after stroke in the Netherlands – Full Text PDF

Abstract

Stroke disables people globally every day. The rehabilitation process focuses mainly on the big muscle groups and re-learning walking. This is why the upper extremity and fine motor control rehabilitation after a stroke is usually left without significant focus. The dexterity rehabilitation after a stroke is lacking an unambiguous method and the guidelines for stroke rehabilitation present multiple recommendations.

SilverFit is a Dutch wellness technology company, whose focus is to motivate people in rehabilitation and maintain their activity by gamification. The thesis was a part of an international product development project for finding a solution for fine motor control rehabilitation after a stroke. Thesis work focused on an iterative project trying to solve the most effective way for rehabiliating fine motor control after a stroke based on the most recent evidence-based studies and understanding the requirements and problems of the users. The human-centred research was conducted using a Design Thinking -process with methods of online ethnography, interviews and observation.

The results from the evidence-based research and the human-centred research were compared through a theme analysis. The thesis showed that the most problematic thing in fine motor control rehabiliation after a stroke is the lack of knowledge, motivation and time, which together cause feelings of insecurity in the therapists and the stroke survivors.

The recommendation for solving the current situation is to create a technological solution, which is always accessible for the stroke survivor, supports the decisions of the therapists based on the most recent evidence-based studies, gives supportive feedback during the therapy and provides realistic results about the progress of the rehabilitation. The thesis provides the first stage of an iterative product development process.

Full Text PDF 

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[Bachelor’s Thesis] Human-centred research for fine motor control rehabilitation after stroke in the Netherlands – March 2016 – Full Text PDF

Abstract

Stroke disables people globally every day. The rehabilitation process focuses mainly on the big muscle groups and re-learning walking. This is why the upper extremity and fine motor control rehabilitation after a stroke is usually left without significant focus. The dexterity rehabilitation after a stroke is lacking an unambiguous method and the guidelines for stroke rehabilitation present multiple recommendations.

SilverFit is a Dutch wellness technology company, whose focus is to motivate people in rehabilitation and maintain their activity by gamification. The thesis was a part of an international product development project for finding a solution for fine motor control rehabilitation after a stroke. Thesis work focused on an iterative project trying to solve the most effective way for rehabiliating fine motor control after a stroke based on the most recent evidence-based studies and understanding the requirements and problems of the users. The human-centred research was conducted using a Design Thinking -process with methods of online ethnography, interviews and observation.

The results from the evidence-based research and the human-centred research were compared through a theme analysis. The thesis showed that the most problematic thing in fine motor control rehabiliation after a stroke is the lack of knowledge, motivation and time, which together cause feelings of insecurity in the therapists and the stroke survivors.

The recommendation for solving the current situation is to create a technological solution, which is always accessible for the stroke survivor, supports the decisions of the therapists based on the most recent evidence-based studies, gives supportive feedback during the therapy and provides realistic results about the progress of the rehabilitation. The thesis provides the first stage of an iterative product development process.

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[iPad App] Tyromotion – Finger(s) in motion

iPad Screenshot 1

Fingermotion

This professional App was designed for training of your fingerskills on your iPad!

It consists of various courses to be traced with one or multiple fingers. So you can train actively selective finger movements and fine motor skills. Your training success can be shown through direct optical feedback. Try this challenging, but motivating, entirely novel way of hand rehabilitation!

Tyromotion – Creating the future of rehabilitation!

Download the App here

via Tyromotion – Finger(s) in motion.

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[ARTICLE] Effectiveness of commercial video gaming on fine motor control in chronic stroke within community-level rehabilitation

Abstract

Purpose: The purpose of this study was to investigate the effectiveness of commercial gaming as an intervention for fine motor recovery in chronic stroke.

Methods: Ten chronic phase post-stroke participants (mean time since CVA = 39 mos; mean age = 72 yrs) completed a 16-session program using the Nintendo Wii for 15 min two times per week with their more affected hand (10 right handed). Functional recovery (Jebsen Hand Function Test (JHFT), Box and Block Test (BBT), Nine Hole Peg Test (NHPT)), and quality of life (QOL; Stroke Impact Scale (SIS)) were measured at baseline (pre-testing), after 8 sessions (mid-testing) and after 16 sessions (post-testing).

Results: Significant improvements were found with the JHFT, BBT and NHPT from pre-testing to post-testing (p = 0.03, p = 0.03, p = 0.01, respectively). As well, there was an increase in perceived QOL from pre-testing to post-testing, as determined by the SIS (p = 0.009).

Conclusion: Commercial gaming may be a viable resource for those with chronic stroke. Future research should examine the feasibility of this as a rehabilitation tool for this population.

Implications for Rehabilitation

  • Stroke survivors often live with lasting effects from their injury, however, those with chronic stroke generally receive little to no rehabilitation due to a perceived motor recovery plateau.
  • Virtual reality in the form of commercial gaming is a novel and motivating way for clients to complete rehabilitation.
  • The Nintendo Wii may be a feasible device to improve both functional ability and perceived quality of life in chronic stroke survivors.

via Effectiveness of commercial video gaming on fine motor control in chronic stroke within community-level rehabilitation, Disability and Rehabilitation, Informa Healthcare.

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