Literature DB >> 23508246

Design of a portable, intrinsically safe multichannel acquisition system for high-resolution, real-time processing HD-sEMG.

Umberto Barone1, Roberto Merletti.   

Abstract

A compact and portable system for real-time, multichannel, HD-sEMG acquisition is presented. The device is based on a modular, multiboard approach for scalability and to optimize power consumption for battery operating mode. The proposed modular approach allows us to configure the number of sEMG channels from 64 to 424. A plastic-optical-fiber-based 10/100 Ethernet link is implemented on a field-programmable gate array (FPGA)-based board for real-time, safety data transmission toward a personal computer or laptop for data storage and offline analysis. The high-performance A/D conversion stage, based on 24-bit ADC, allows us to automatically serialize the samples and transmits them on a single SPI bus connecting a sequence of up to 14 ADC chips in chain mode. The prototype is configured to work with 64 channels and a sample frequency of 2.441 ksps (derived from 25-MHz clock source), corresponding to a real data throughput of 3 Mbps. The prototype was assembled to demonstrate the available features (e.g., scalability) and evaluate the expected performances. The analog front end board could be dynamically configured to acquire sEMG signals in monopolar or single differential mode by means of FPGA I/O interface. The system can acquire continuously 64 channels for up to 5 h with a lightweight battery pack of 7.5 Vdc/2200 mAh. A PC-based application was also developed, by means of the open source Qt Development Kit from Nokia, for prototype characterization, sEMG measurements, and real-time visualization of 2-D maps.

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Mesh:

Year:  2013        PMID: 23508246     DOI: 10.1109/TBME.2013.2252346

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  Motor unit drive: a neural interface for real-time upper limb prosthetic control.

Authors:  Michael D Twardowski; Serge H Roy; Zhi Li; Paola Contessa; Gianluca De Luca; Joshua C Kline
Journal:  J Neural Eng       Date:  2018-10-24       Impact factor: 5.379

2.  An Electronic System for the Contactless Reading of ECG Signals.

Authors:  Francesca Romana Parente; Marco Santonico; Alessandro Zompanti; Mario Benassai; Giuseppe Ferri; Arnaldo D'Amico; Giorgio Pennazza
Journal:  Sensors (Basel)       Date:  2017-10-28       Impact factor: 3.576

3.  Changes in tibialis anterior architecture affect the amplitude of surface electromyograms.

Authors:  Taian M Vieira; Maria Cristina Bisi; Rita Stagni; Alberto Botter
Journal:  J Neuroeng Rehabil       Date:  2017-08-14       Impact factor: 4.262

4.  Lw-CNN-Based Myoelectric Signal Recognition and Real-Time Control of Robotic Arm for Upper-Limb Rehabilitation.

Authors:  Benzhen Guo; Yanli Ma; Jingjing Yang; Zhihui Wang; Xiao Zhang
Journal:  Comput Intell Neurosci       Date:  2020-12-28

5.  Designing a Low-noise, High-resolution, and Portable Four Channel Acquisition System for Recording Surface Electromyographic Signal.

Authors:  Akbar Pashaei; Mohammad Reza Yazdchi; Hamid Reza Marateb
Journal:  J Med Signals Sens       Date:  2015 Oct-Dec
  5 in total

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