A New Smart-Fabric based Body Area Sensor Network for Work Risk Assessment

被引：0

作者：

Lanata, Antonio ^{[1
]}

Greco, Alberto ^{[2
]}

Di Modica, Stefano ^{[2
]}

Niccolini, Francesco ^{[2
]}

Vivaldi, Federico ^{[3
]}

Di Francesco, Fabio ^{[3
]}

Tamantini, Christian ^{[4
]}

Cordella, Francesca ^{[4
]}

Zollo, Loredana ^{[4
]}

Di Rienzo, Marco ^{[5
]}

Massaroni, Carlo ^{[6
]}

Schena, Emiliano ^{[6
]}

Di Sarto, Mariasabrina ^{[7
]}

Scilingo, Enzo Pasquale ^{[2
]}

机构：

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

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

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

[4] Campus Biomed, CREO Lab, Rome, Italy

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

[6] Campus Biomed, Meas & Biomed Instr Lab, Rome, Italy

[7] Sapienza Univ Rome, Dept Astr Elect Energy Engn, Rome, Italy

来源：

2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (METROIND4.0&IOT) | 2020年

关键词：

Biomedical Signal Processing; Wireless Body Area Sensor Network; Smart Textile; Work Risk Assessment; Machine Learning; Mobile Platform;

D O I：

10.1109/metroind4.0iot48571.2020.9138273

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This study reports on a novel Smart-Fabric based wireless Body Area Sensor Network for assessing psychological and physiological work risk levels. The combination of smart-sensing fabrics advantages, high electronic miniaturization, and the latest machine learning enables the system to assess the risk level of the worker. The body area sensor network includes a smartphone, an artificial intelligence algorithm for risk assessment, and a set of sensor-nodes integrated into a textile substrate (i.e., activity detection, electrocardiogram (ECG), sweat rate, body temperature, and textile integrated respiration sensors). Preliminary and encouraging results are shown in terms of physiological signals and physical activity detection.

引用

页码：187 / 190

页数：4

共 8 条

[1] Nursing churn and turnover in Australian hospitals: Nurses perceptions and suggestions for supportive strategies [J].