Overview

Original Research

FATIGUE DETECTION SYSTEM BASED ON HEART RATE VARIABILITY USING MOBILE DEVICE AND SENSOR

SANTONY 1, and SANI MUHAMAD ISA 2.

Vol 17, No 11 ( 2022 )   |  DOI: 10.5281/zenodo.7404555   |   Author Affiliation: Computer Science Department, Binus Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia 1,2.   |   Licensing: CC 4.0   |   Pg no: 2349-2363   |   To cite: SANTONY, and SANI MUHAMAD ISA. (2022). FATIGUE DETECTION SYSTEM BASED ON HEART RATE VARIABILITY USING MOBILE DEVICE AND SENSOR. 17(11), 2349–2363. https://doi.org/10.5281/zenodo.7404555   |   Published on: 30-11-2022

Abstract

The potential for sleepiness due to fatigue can actually be detected using an analysis of heart rate variability known as HRV (Heart Rate Variability). HRV can be analyzed using various methods, one of which uses a frequency domain analysis where the ECG data of the subject obtained from the Polar H10 sensor can be used to determine the LF/HF ratio. The resulting LF/HF ratio can be classified into several sleep stages to label the subject whether the subject is awake or asleep. The result of LF/HF ratio will be compared with the threshold classification used in Herzig's research in 2018 so that it can determine whether the subject can be categorized as awake or asleep. If the subject is indicated to be asleep, which is marked by a decrease in the value of the LF/HF ratio, a notification will be given from the system to take a short break.

Keywords

ECG, HRV, Sensor Polar H10, Frequency Domain, Sleep Stage Classification