To successfully grasp and manipulate objects, the human hand uses two types of forces, namely Grip Force (GF) and Load Force (LF). The GF is the one applied normally at the object’s point of contact and the LF is acting in parallel to the object under the influence of gravity or inertial load due to acceleration. For manipulative actions, as per simple kinetics, sufficient GF against LF is required to stabilize the action. However, neurological conditions, such as stroke, limits coordination and muscle movement. Hence, it becomes imperative for upper limb rehabilitation to study the effects of various grips in dynamic activities such as picking and placing an object, since different tasks require varying amounts of grip strength.
Effects of neurological conditions like stroke on the upper limb has been a lesser explored arena in biomedical science. In this work we developed a device that evaluates the GF-LF coordination and grip scaling in unimanual and bimanual tasks. The device can be a good alternative to the Nine-Hole Peg Test and the lifting task in Jebsen-Taylor Hand Function Test to assess hand impairment and even measure rehabilitation outcomes. The device, which consists of an Inertial Measurement Unit MPU6050, a load cell LCFD-50, and an Arduino microcontroller, is tested to verify its functionality and accuracy. A visual feedback of GF-LF variation and its corresponding delay is provided for assessment. A user interface has also been developed with selectable tests to complement exercises to treat spasticity.
|Commitee:||Krishnan, Vennila, Marayong, Panadda|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 58/01M(E), Masters Abstracts International|
|Subjects:||Biomedical engineering, Electrical engineering|
|Keywords:||Accelerometer, Grip force, Load cell, Load force|
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