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Quantification of functional hand grip using electromyography and inertial sensor-derived accelerations: clinical
Jaime Martin-Martin, Antonio I Cuesta-Vargas1
1Departamento de Psiquiatría y Fisioterapia, Facultad de Ciencias de la Salud, Universidad de Malaga, Andalucia Tech, Instituto de Biomedicina de Malaga (IBIMA), Grupo de Clinimetria (AE-14), Malaga, Spain. acuesta.var@gmail.com.
Biomedical Engineering Online
|December 16, 2014
Summary
Digital tools like accelerometry and electromyography enhance hand injury assessment. The tripod grip shows high kinetic activity, while ball grip engages the thenar muscles most.
Area of Science:
- Biomechanics
- Rehabilitation Engineering
- Motor Control
Background:
- Hand function assessment is crucial due to the hand's environmental interaction.
- Limitations in current assessment systems necessitate novel approaches.
- Digital systems (accelerometry, electromyography) offer deeper insights into motor components of hand movement.
Purpose of the Study:
- To conduct a kinematic and electromyography analysis of functional hand movements.
- To integrate digital assessment tools for a comprehensive understanding of hand function.
Main Methods:
- Ten subjects performed six functional hand grips.
- Muscle activity (electromyography) and acceleration (accelerometry) were measured simultaneously.
- Data acquisition utilized Mega ME 6000 and AcceleGlove systems.
Main Results:
- Simultaneous recording of electrical activity and acceleration during functional movements.
- Acceleration variables included modular vectors for fingers and palm.
- Electromyography variables were normalized for key hand and forearm muscles.
Conclusions:
- Tripod grip demonstrated the highest kinetic activity, with the middle finger being most significant.
- Ball grip elicited the most muscle activity, particularly involving the thenar region.
- Integrating muscle activation, movement, load, and displacement data enables personalized rehabilitation strategies.
