Architecture of a wireless wearable body area sensor network for work risk assessment

Stefano Di Modica, Marco Di Rienzo, Fabio Di Francesco, Enzo Pasquale Scilingo, Antonio Lanata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study reports on the system architecture designed for a Smart-Fabric Wireless Body Area Sensor Network (SF-wBASN) developed within the Sense-Rise project. The system aims at assessing psychological and physiological indexes for the detection of work risk levels. Here, we describe the modules embedded into the SF-wBASN and the basic architecture implemented in the multi-sensor integrated platform. Specifically, SF-wBANS comprises several nodes that allow for acquiring Bio-impedance, Electrocardiogram, Respiration, Temperature and Humidity skin gradient signals. The architecture is tested by acquiring physiological signals from a healthy subject in different physical conditions. Results show the architecture's good performance in terms of size, operating time, precision, and reliability.

Original languageEnglish
Title of host publication2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages429-432
Number of pages4
ISBN (Electronic)9781665419802
DOIs
Publication statusPublished - Jun 7 2021
Event2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Virtual, Online
Duration: Jun 7 2021Jun 9 2021

Publication series

Name2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Proceedings

Conference

Conference2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021
CityVirtual, Online
Period6/7/216/9/21

Keywords

  • Biomedical Signal Processing
  • Mobile Platform
  • System Architecture
  • Wireless Body Area Sensor Network
  • Work Risk Assessment

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Industrial and Manufacturing Engineering
  • Instrumentation

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