Architecture of a Wireless Wearable Body Area Sensor Network for Work Risk Assessment

被引：0

作者：

Di Modica, Stefano ^{[1
]}

Di Rienzo, Marco ^{[2
]}

Di Francesco, Fabio ^{[3
]}

Scilingo, Enzo Pasquale ^{[1
]}

Lanata, Antonio ^{[4
]}

机构：

[1] Univ Pisa, Res Ctr Piaggio, Pisa, Italy

[2] IRCCS Fond Don C Gnocchi, Milan, Italy

[3] Univ Pisa, Dept Chem & Ind Chem, Pisa, Italy

[4] Univ Florence, Dept Informat Engn, Florence, Italy

来源：

2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0 & IOT) | 2021年

关键词：

System Architecture; Biomedical Signal Processing; Wireless Body Area Sensor Network; Work Risk Assessment; Mobile Platform; CHIP UWB RADAR;

D O I：

10.1109/METROIND4.0IOT51437.2021.9488504

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：429 / 432

页数：4