Embedded Wearable Integrating Real-Time Processing of Electromyography Signals†
AbstractWe realized a non-invasive wearable device able to record muscle activity using patch electrodes positioned on the skin over the muscle. It is an integrated system-on-board developed for the detection of several physical and physiologic human parameters which includes specific circuits for detecting the surface electromyography signal and algorithms for the real-time data processing optimized to low computational load. In real time, the proposed system dissipates only 26 mW and guarantees 20 h battery autonomy. The system exhibits performance comparable with those achieved with state-of-art wired equipment used in the hospitals, but with the advantage of being an embedded wearable wireless device.
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Gentile, P.; Pessione, M.; Suppa, A.; Zampogna, A.; Irrera, F. Embedded Wearable Integrating Real-Time Processing of Electromyography Signals. Proceedings 2017, 1, 600.
Gentile P, Pessione M, Suppa A, Zampogna A, Irrera F. Embedded Wearable Integrating Real-Time Processing of Electromyography Signals. Proceedings. 2017; 1(4):600.Chicago/Turabian Style
Gentile, Paolo; Pessione, Marco; Suppa, Antonio; Zampogna, Alessandro; Irrera, Fernanda. 2017. "Embedded Wearable Integrating Real-Time Processing of Electromyography Signals." Proceedings 1, no. 4: 600.
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