Monitorización cardíaca e inteligencia artificial aplicada a la prevención ergonómica de riesgos cardiovasculares laborales.

Abstract

Cardiac workload allows for the estimation of physiological work demands and the identification of elevations that might otherwise go unnoticed in isolated assessments. The objective of this study was to evaluate the usefulness of heart rate as a biomarker for implementing ergonomic adjustments and preventing work-related cardiovascular problems, through an occupational cardiac monitoring system developed specifically for this research. A mixed-methods case study, predominantly quantitative, was conducted on a worker performing administrative, operational, and leadership functions, who also had cardiovascular comorbidities. Heart rate was continuously measured using a PowerLabs chest sensor over five days. The monitoring system calculated cardiac workload using the Apud formula and generated alerts upon reaching the 40% preventive threshold. Artificial intelligence tools were then used to organize and analyze 132,473 data points. The daily average cardiac workload ranged from 11.99% to 17.44%, with an average of 40 minutes and 14 seconds above the threshold. A maximum of 85.71% was reached during a walking inspection; this also represented the highest average workload (23.20%). The double administrative control over the threshold resulted in the greatest accumulated time. It should be noted that averages can mask relevant physiological peaks and that cardiovascular demand depends on exertion and organizational factors. The specialist emphasized that the proposed declaration proved useful for preventing breaks, promoting recovery, and redistributing tasks, and that it is not intended to replace medical assessment or serve as a diagnostic method.