A Review on Health Monitoring System for Industry Workers: Requirement, System, and Performance

Health monitoring systems for industry workers are needed to maintain their safety, health, productivity, and to prevent accidents using technologies to measure workers' physiological and environmental variables could predict and prevent potential human risk in industry. This study aimed to review several health monitoring systems to get information about their system designs, methods, requirements, and performances. Scoping keywords of industrial subjects, actions, health, and devices, along with their synonyms, are used to retrieve articles from the Scopus database from 2009 to June 2023. The screening results in 18 papers. The health monitoring system comprised of several types of personal health and environmental sensors, comprised of EEG, ECG, EMG, PPG, IMU, camera, FMCW, PIR, USR, and sensors of heart rate, body and environment temperature, respiratory rate, relative humidity, dust or particulate matters, noise, hazardous gases, air pressure, and UV. The supporting systems comprised processors, network infrastructures, servers, databases, software and algorithms, actuators, displays and websites, validators, and surveys. Those studies are done either by field or laboratory experiments, software simulations, secondary data analysis, or concept designs. The requirement insights are grouped into ten aspects: validity, effectivity, connectivity, functionality, reliability, safety and security, compatibility, economy, user-friendliness, and supportiveness. The system results and performances varied through the objective and sensor data used, from monitoring purposes to fatigue and health issue detection such as drowsiness, falling, stress depression, and distress. Fatigue and other health issues could be detected by camera image analysis, EMG, IMU, and HRV signals, not by HR or %HRR.

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Publication Details

Journal
Engineering headway
Published
2025-10-13
DOI
https://doi.org/10.4028/p-6epwvk
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
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article

A Review on Health Monitoring System for Industry Workers: Requirement, System, and Performance

Sentagi Sesotya Utami, Ihsan Nur Hakim, Tri Lestari, Nopriadi Norpiadi
Engineering headway
Sleep and Work-Related Fatigue
article

A Review on Health Monitoring System for Industry Workers: Requirement, System, and Performance

Sentagi Sesotya Utami, Ihsan Nur Hakim, Tri Lestari, Nopriadi Norpiadi
article en

Abstract

Health monitoring systems for industry workers are needed to maintain their safety, health, productivity, and to prevent accidents using technologies to measure workers' physiological and environmental variables could predict and prevent potential human risk in industry. This study aimed to review several health monitoring systems to get information about their system designs, methods, requirements, and performances. Scoping keywords of industrial subjects, actions, health, and devices, along with their synonyms, are used to retrieve articles from the Scopus database from 2009 to June 2023. The screening results in 18 papers. The health monitoring system comprised of several types of personal health and environmental sensors, comprised of EEG, ECG, EMG, PPG, IMU, camera, FMCW, PIR, USR, and sensors of heart rate, body and environment temperature, respiratory rate, relative humidity, dust or particulate matters, noise, hazardous gases, air pressure, and UV. The supporting systems comprised processors, network infrastructures, servers, databases, software and algorithms, actuators, displays and websites, validators, and surveys. Those studies are done either by field or laboratory experiments, software simulations, secondary data analysis, or concept designs. The requirement insights are grouped into ten aspects: validity, effectivity, connectivity, functionality, reliability, safety and security, compatibility, economy, user-friendliness, and supportiveness. The system results and performances varied through the objective and sensor data used, from monitoring purposes to fatigue and health issue detection such as drowsiness, falling, stress depression, and distress. Fatigue and other health issues could be detected by camera image analysis, EMG, IMU, and HRV signals, not by HR or %HRR.

Engineering headwayVol. 27
Universitas Gadjah Mada (ID), State University of Padang (ID)
Openalex Percentile: Top 70%
Sleep and Work-Related Fatigue
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A Review on Health Monitoring System for Industry Workers: Requirement, System, and Performance — Sentagi Sesotya Utami, Ihsan Nur Hakim, et al. · Engineering headway (2025) | TGRS Research Map | TGRS