University of Twente Student Theses
Evaluating heart rate prediction accuracy focusing on different body parts using COTS Wi-Fi devices
Baublys, Petras (2024) Evaluating heart rate prediction accuracy focusing on different body parts using COTS Wi-Fi devices.
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| Abstract: | Heart disease is the leading cause of death in middle-upper-income countries, which makes heart and heartrate tracking technologies and methods a vital part of human health monitoring. Past research was able to track a subject’s heart rate from Wi-Fi’s Channel State Information (CSI) by focusing the signals on their chest. However, antennas in a dynamic environment can not always focus on the subject’s chest. Therefore, this research aims to analyze the possibility of heart rate tracking using existing signal processing algorithms by focusing the Wi-Fi signals on a sitting subject's chest, neck, thighs/hips, and back of the knees. This is done by testing the best antenna positioning and orientation to focus the signals on a specific body area. The findings are then used to target the different mentioned body areas. The data collected from five test subjects shows that existing heart rate-tracking algorithms best predict the heart rate from the chest area followed by the thighs/hips, whereas the neck and back of the knees perform the worst. Furthermore, based on the collected data and wave propagation theory, it is found that the most important characteristic of a body area is its surface area for heart rate prediction accuracy. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/100998 |
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