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.
Hakim et al. (Mon,) studied this question.