Literature DB >> 26011867

On Integration and Validation of a Very Low Complexity ATC UWB System for Muscle Force Transmission.

Stefano Sapienza, Marco Crepaldi, Paolo Motto Ros, Alberto Bonanno, Danilo Demarchi.   

Abstract

The thresholding of Surface ElectroMyoGraphic (sEMG) signals, i.e., Average Threshold Crossing (ATC) technique, reduces the amount of data to be processed enabling circuit complexity reduction and low power consumption. This paper investigates the lowest level of complexity reachable by an ATC system through measurements and in-vivo experiments with an embedded prototype for wireless force transmission, based on asynchronous Impulse-Radio Ultra Wide Band (IR-UWB). The prototype is composed by the acquisition unit, a wearable PCB 23 × 34 mm, which includes a full custom IC integrating a UWB transmitter (chip active silicon area 0.016 mm(2), 1 mW power consumption), and the receiver. The system is completely asynchronous, it acquires a differential sEMG signal, generates the ATC events and triggers a 3.3 GHz IR-UWB transmission. ATC robustness relaxes filters constraints: two passive first order filters have been implemented, bandwidth from 10 Hz up to 1 kHz. Energy needed for the single pulse generation is 30 pJ while the whole PCB consumes 5.65 mW. The pulses radiated by the acquisition unit TX are received by a short-range and low complexity threshold-based 130 nm CMOS IR-UWB receiver with an Ultra Low Power (ULP) baseband unit capable of robustly receiving generic quasi-digital pulse sequences. The acquisition unit have been tested with 10 series of in vivo isometric and isotonic contractions, while the transmission channel with over-the-air and cable measurements obtained with a couple of planar monopole antennas and an integrated 0.004 mm(2) transmitter, the same used for the acquisition unit, with realistic channel conditions. The entire system, acquisition unit and receiver, consumes 15.49 mW.

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Year:  2015        PMID: 26011867     DOI: 10.1109/TBCAS.2015.2416918

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  2 in total

1.  Embedded Bio-Mimetic System for Functional Electrical Stimulation Controlled by Event-Driven sEMG.

Authors:  Fabio Rossi; Paolo Motto Ros; Ricardo Maximiliano Rosales; Danilo Demarchi
Journal:  Sensors (Basel)       Date:  2020-03-10       Impact factor: 3.576

2.  Combining Action Observation Treatment with a Brain-Computer Interface System: Perspectives on Neurorehabilitation.

Authors:  Fabio Rossi; Federica Savi; Andrea Prestia; Andrea Mongardi; Danilo Demarchi; Giovanni Buccino
Journal:  Sensors (Basel)       Date:  2021-12-20       Impact factor: 3.576

  2 in total

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