We 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.
Embedded wearable integrating real-time processing of electromyography signals / Gentile, Paolo; Pessione, Marco; Suppa, Antonio; Zampogna, Alessandro; Irrera, Fernanda. - STAMPA. - 1:(2017), pp. 1-4. (Intervento presentato al convegno Eurosensors 2017 tenutosi a Paris) [10.3390/proceedings1040600].
Embedded wearable integrating real-time processing of electromyography signals
Suppa, Antonio;Zampogna, Alessandro;Irrera, Fernanda
2017
Abstract
We 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.File | Dimensione | Formato | |
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