To be able to interact with the variety of objects an individual encounter with every day, he or she must know how to manipulate those objects. In simple object manipulation, such as the action of drinking a cup of water, the hand force and movement is controlled by the central nervous system (CNS) to regulate the amount of grip force the hand must exert to hold the object without slipping or breaking the cup. However, neurological diseases, such as multiple sclerosis and Parkinson’s, affect the function of the CNS causing individuals to lose control of their muscle activation and coordination. There is an extensive set of research dedicated towards investigating the coordination between grip and load force of the hands for a variety of manipulation tasks. However, there is a gap in current research in understanding the relationship between the human hand and the forearm or upper arm movement during object manipulation.
The purpose of this work is to redesign a two-degree-of-freedom hand function assessment device that can be used to measure grip force, load force, and arm movements. The new hand function assessment device was used to collect baseline data of five healthy young adults on the coordination between grip force, load force, and arm movement using the elbow angle. Based on the results of the hand function assessment device, elbow angle is not highly coordinated with grip force and load force due to its low coupling and low modulation. A reliability assessment was also conducted to measure the repeatability of the new hand function assessment device by using an intraclass coefficient (ICC) algorithm on the grip force, load force, elbow displacement, elbow lifting speed, and elbow lowering speed. This work ends with a coordination assessment by analyzing each subject's coupling and modulation of grip force, load force, elbow angle and elbow speed. The coordination assessment resulted in the conclusion that the elbow angle is not highly coordinated with grip force and load force. However, upon making device modifications and collecting more data, the results might show otherwise. After the system is verified to provide repeatable measurements, it can be used to study the coordination of grip force, load force, and elbow angle on a group of individuals with multiple sclerosis.
|Commitee:||Khoo, I-Hung, Krishnan, Vennila|
|School:||California State University, Long Beach|
|Department:||Mechanical and Aerospace Engineering|
|School Location:||United States -- California|
|Source:||MAI 81/9(E), Masters Abstracts International|
|Subjects:||Mechanical engineering, Biomechanics|
|Keywords:||Arm movement coordination, Hand force|
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