AI Article Synopsis

  • The paper introduces a new technology called cardio-forecasting that predicts when an individual operator in a work environment may reach exhaustion based on their unique physiological signals.
  • This technology utilizes spectral analysis of phonocardiograms to monitor the frequency of heart contractions and model trends to anticipate the limit of a person's working capacity.
  • The outcome will be developed into a smartphone application for Android, allowing for personalized monitoring and assessment of an operator’s critical condition during work.

Article Abstract

The paper presents the results of the development of the cardio-forecasting technology, which introduces a new method to monitor the state of human-operator, which is characteristic for the given production conditions and for individual operators, to predict the moment of exhaustion of his/her working capacity. The work aims to demonstrate the unique, distinctive features of the cardio-forecasting technology for predicting an individual limit of his/her working capacity for each person. A unique methodology for predicting individually for each person the moment when he/she reaches the limit of his/her working capacity is based on a spectral analysis of a human phonocardiogram in order to isolate the frequency component located at the heart contraction frequency. The trend of the amplitude of this component is approximated by its model; consequently, the coefficients of the trend model are determined. They include the operator's operating time until his/her working capacity is exhausted. A methodology for predicting the moment when he/she reaches the limit of his/her working capacity for each person individually and assessment based on this degree of criticality of their condition will be realized as a software application for smartphones using the Android operating system.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982024PMC
http://dx.doi.org/10.3390/ijerph17010326DOI Listing

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