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A biomechanical study of spherical grip
Jaime Martin-Martin1, Antonio I Cuesta-Vargas
1Faculty of Health Science, Department of Physiotherapy, University of Malaga, Malaga, Spain.
Springerplus
|December 3, 2013
Summary
This study analyzed spherical grip movements using surface electromyography and accelerometers. Findings reveal five distinct movement stages, offering insights into hand function and grip analysis.
Area of Science:
- Biomechanics
- Human Movement Analysis
- Occupational Health
Background:
- Hand function, particularly spherical grip, is crucial for daily activities and work.
- Understanding the mechanics of spherical grip is essential for assessing hand function.
Purpose of the Study:
- To analyze the execution of spherical grip using surface electromyography (EMG) and accelerometer data.
- To identify distinct movement stages during spherical grip.
Main Methods:
- Six subjects performed a ball gripping task.
- Collected real-time EMG data from various hand and wrist muscles.
- Recorded accelerometer data from the thumb, fingers, and palm.
- Processed data using R software and a Matlab script for numerical sequence recognition.
- Normalized EMG data to maximum voluntary contraction and calculated modular values for acceleration vectors.
Main Results:
- Identified five distinct movement stages based on palm module vector analysis.
- Analyzed variations in vector modules and maximum standardized EMG values for each muscle.
- Descriptive statistical analysis (average and standard deviation) was performed.
Conclusions:
- Movement analysis via accelerometer and EMG provides insights into spherical grip mechanics.
- The developed protocol and data can supplement existing hand assessment systems.
