TY - GEN
T1 - Assessment of Impaired Finger Independence of Stroke Survivors
T2 - 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023
AU - Fan, Jiahao
AU - Shin, Henry
AU - Hu, Xiaogang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Hand impairment is prevalent in individuals after stroke. Regaining independent finger control remains challenging in stroke rehabilitation. An efficient rehabilitation program should be able to have the clinicians informed and enable them to prescribe targeted therapies accordingly. To that end, an objective and continuous assessment of finger impairment is highly demanding. The objective of this preliminary work was to quantify the neuromuscular factors that contribute to impairment in independent finger control in chronic stroke survivors. Ten subjects, including five neurologically as control participants and five chronic stroke survivors, participated in our experiments. We obtained high-density electromyographic (HD-EMG) signals of extrinsic finger muscles and fingertip forces, while both stroke survivors or control participants were instructed to produce independent finger forces. We observed an impaired ability to isolate individual muscle compartment activation (i.e., co-activation of muscle compartment) and control fingers independently on the affected side of the stroke survivors. This muscle co-activation pattern correlated with finger independence as well as clinical assessment scales on hand impairment. Our preliminary work showed that HD-EMG recordings could be used to continuously monitor activation abnormalities of small finger muscles in contribution to impaired finger independence. With further development, the outcomes can provide a basis for clinical decision-making to reduce hand impairments of stroke survivors.
AB - Hand impairment is prevalent in individuals after stroke. Regaining independent finger control remains challenging in stroke rehabilitation. An efficient rehabilitation program should be able to have the clinicians informed and enable them to prescribe targeted therapies accordingly. To that end, an objective and continuous assessment of finger impairment is highly demanding. The objective of this preliminary work was to quantify the neuromuscular factors that contribute to impairment in independent finger control in chronic stroke survivors. Ten subjects, including five neurologically as control participants and five chronic stroke survivors, participated in our experiments. We obtained high-density electromyographic (HD-EMG) signals of extrinsic finger muscles and fingertip forces, while both stroke survivors or control participants were instructed to produce independent finger forces. We observed an impaired ability to isolate individual muscle compartment activation (i.e., co-activation of muscle compartment) and control fingers independently on the affected side of the stroke survivors. This muscle co-activation pattern correlated with finger independence as well as clinical assessment scales on hand impairment. Our preliminary work showed that HD-EMG recordings could be used to continuously monitor activation abnormalities of small finger muscles in contribution to impaired finger independence. With further development, the outcomes can provide a basis for clinical decision-making to reduce hand impairments of stroke survivors.
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U2 - 10.1109/NER52421.2023.10123876
DO - 10.1109/NER52421.2023.10123876
M3 - Conference contribution
AN - SCOPUS:85160614346
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
BT - 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings
PB - IEEE Computer Society
Y2 - 25 April 2023 through 27 April 2023
ER -