The study aim was to test, in a clinical context, a compact surface electromyography (sEMG) sensor and a sEMG biofeedback protocol driven by a specifically designed graphic user interface (GUI). The system was tested on 5 healthy subjects and 3 post-stroke patients. The complete system evaluation was conducted considering the device setup time, the calibration procedure duration and the capability of the patients to understand and complete the proposed exercises. Furthermore, a set of two different therapy outcomes was calculated in order to quantify the capability to modulate the muscle contraction from patients and healthy subjects. The pilot results revealed both the suitability of the system in a clinical environment and the effective extraction of quantitative outcomes during the therapy, showing differences between patients and healthy subjects.

EMG-based biofeedback system for motor rehabilitation: A pilot study / Di Girolamo M.; Celadon N.; Appendino S.; Turolla A.; Ariano P.. - ELETTRONICO. - 2018-:(2018), pp. 1-4. (Intervento presentato al convegno 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 tenutosi a Politecnico di Torino, ita nel 2017) [10.1109/BIOCAS.2017.8325086].

EMG-based biofeedback system for motor rehabilitation: A pilot study

Turolla A.;
2018

Abstract

The study aim was to test, in a clinical context, a compact surface electromyography (sEMG) sensor and a sEMG biofeedback protocol driven by a specifically designed graphic user interface (GUI). The system was tested on 5 healthy subjects and 3 post-stroke patients. The complete system evaluation was conducted considering the device setup time, the calibration procedure duration and the capability of the patients to understand and complete the proposed exercises. Furthermore, a set of two different therapy outcomes was calculated in order to quantify the capability to modulate the muscle contraction from patients and healthy subjects. The pilot results revealed both the suitability of the system in a clinical environment and the effective extraction of quantitative outcomes during the therapy, showing differences between patients and healthy subjects.
2018
2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
1
4
EMG-based biofeedback system for motor rehabilitation: A pilot study / Di Girolamo M.; Celadon N.; Appendino S.; Turolla A.; Ariano P.. - ELETTRONICO. - 2018-:(2018), pp. 1-4. (Intervento presentato al convegno 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 tenutosi a Politecnico di Torino, ita nel 2017) [10.1109/BIOCAS.2017.8325086].
Di Girolamo M.; Celadon N.; Appendino S.; Turolla A.; Ariano P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/858420
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