Research wants to improve the functionality and usability of prosthetic hands

Feb 28, 2019 | Research/Cooperation

In order for hand prostheses to contribute to individuals’ independent life, more research is needed in the field. Sara Abbaspour has investigated how data from muscle activities can be used to develop more accurate systems for the control of prosthetic hands.


Sara Abbaspour

- To be able to mimic a hand movement, we have placed sensors on the forearm muscles of the patients to measure their muscle activity in real time. In this way, we have been able to collect data during different hand gestures and test the algorithms in detecting the performed gestures in real time, Sara Abbaspour says.

At present, most of the amputees do not use their prosthetic hands because the available prosthetic hands do not have the functionality to satisfy the amputees. Therefore, in the doctoral thesis "Electromyogram Signal Enhancement and Upper-Limb Myoelectric Pattern Recognition", Sara Abbaspour has chosen to study the subject more closely and analyze the muscle activity data to evaluate the usability of decoding algorithms for real-time applications.

- For me it has been important to find a way to improving the accuracy of hand gesture recognition to increase the use of hand prostheses. One of the challenges has been filtering the heart’s electrical activity from the measurements that needs to be done on the muscle close to the heart which is improving the quality of muscle activity data to be able to have a reliable data analysis, she says.

Sara Abbaspour recently defended her doctorial thesis in electronics at the Academy of Innovation, Design and Technology and hopes that her research will be a step towards the development of a properly functional prosthetic hand in the future.