Jul 26, 2021 · This paper introduces a hybrid brain-machine interface (hBMI) that integrates surface electromyography (sEMG) and functional near-infrared spectroscopy (fNIRS) ...
This study demonstrates the feasibility of hybridizing sEMG and fNIRS signals to improve the CA for transhumeral amputees, improving the control performances of ...
Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid ...
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This study demonstrates the feasibility of hybridizing sEMG and. fNIRS signals to improve the CA for transhumeral amputees, improving the control performances ...
This paper introduces a hybrid brain-machine interface (hBMI) that integrates surface electromyography (sEMG) and functional near-infrared spectroscopy (fNIRS) ...
2022. Enhancing Classification Accuracy of Transhumeral Prosthesis: A Hybrid sEMG and fNIRS approach. HKPM Neelum Yousaf Sattar, Zareena Kausar, Syed Ali ...
Enhancing classification accuracy of transhumeral prosthesis: A hybrid sEMG and fNIRS approach. NY Sattar, Z Kausar, SA Usama, N Naseer, U Farooq, A Abdullah, .
May 31, 2022 · The hybrid sEMG and fNIRS system is a feasible approach to improve the CA for transhumeral amputees, improving the control performances of ...
This study showcased the potential of combining EMG and fNIRS signals to improve the classification accuracy and enhance the performance of prostheses in ...
Oct 22, 2024 · It has been shown that the use of appropriate features with a suitable ML classifier increases the classification accuracy [57, 58]. The ...
The combination of fNIRS and EMG can improve the accuracy and reliability of brain-computer interface systems. This system can study the relationship between ...