Analysis of Cardiac Signals in Workers of Frigorific Chambers using Internet of Things

David Sanchez-Espinoza, Martha Medina-De-La-Cruz, Anderson Mujaico-Mariano, Martin M. Soto-Cordova, Sarella Palma-Soto

Research output: Contribution to conferencePaper

Abstract

© 2019 IEEE. In the work environment there are numerous jobs that involve the performance of tasks in cold environments, such as storage in cold rooms. Knowing that temperature is an aspect that alters the heart rate, working in these conditions can generate risk factors that favor the appearance of pathologies, disorders and aggravate chronic diseases, such as cardiac, respiratory and rheumatic. In this project, we carry out a series of analytical stages that evaluate the cardiac activity of workers exposed continuously to very low temperatures. Through this reasoning, we provide information involved in the accurate interpretation of the electrical activity of the heart to detect abnormalities and determine risk factors that increase the chances of suffering physical or mental ills. As a result, we present the data obtained from 10 workers in 10 weeks, when performing the analysis, compare the graphs and data exposed by each one and determine the presence of anomalous signals. All this for the correct management, knowledge and evaluation, in order to avoid that the cold is another work risk faced by many workers.
Original languageAmerican English
DOIs
StatePublished - 1 Nov 2019
Externally publishedYes
Event2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019 -
Duration: 1 Nov 2019 → …

Conference

Conference2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019
Period1/11/19 → …

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  • Cite this

    Sanchez-Espinoza, D., Medina-De-La-Cruz, M., Mujaico-Mariano, A., Soto-Cordova, M. M., & Palma-Soto, S. (2019). Analysis of Cardiac Signals in Workers of Frigorific Chambers using Internet of Things. Paper presented at 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019, . https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976970