Real Time Vital Sign Monitoring System using AWR1642 Radar Module with Remote Access
| dc.contributor.author | Dayananda, B.N. | |
| dc.contributor.author | Vandana, G.S. | |
| dc.contributor.author | Srihari, P. | |
| dc.contributor.author | Pardhasaradhi, B. | |
| dc.date.accessioned | 2026-02-06T06:35:21Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The remote access to vital sign measurements like pulse rate (PR) and breathing rate (BR) of a patient to doctors and family members makes it much more helpful in patient risk analysis. Texas Instruments AWR1642 frequency modulated continuous wave (FMCW) radar operates at 77-81 GHz frequency with 4 GHz sweep bandwidth for linear frequency modulated (LFM) waveform. In the literature, AWR1642 is used to determine a person's PR and BR in an offline mode. In this paper, the AWR1642 radar module is integrated with Raspberry Pi 4 Model B (Pi4B), and a network connection is established using SIM7600G-H 4G HAT and accessed through TeamViewer software. For this experiment, we have considered ten males and ten females in the age group of 19-52 years and 18-29 years, respectively. The male and female attendees' average PR is 84.84bpm and 79.9965bpm, respectively. The male and female attendees' average BR is 18.408bpm and 16.526bpm, respectively. Ground truth data is gathered from a fingertip pulse oximeter(PO) to verify our readings of PR and BR. The overall absolute mean error (AME) of PR and BR compared to the PO data is 0.6430 % and 4.2595% for the 20 volunteers who participated in the experiment. © 2022 IEEE. | |
| dc.identifier.citation | Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022, 2022, Vol., , p. 191-195 | |
| dc.identifier.uri | https://doi.org/10.1109/iSES54909.2022.00047 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/29802 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.subject | 77GHz | |
| dc.subject | AWR1642 FMCW radar module | |
| dc.subject | Raspberry Pi 4 Model B (Pi4B) | |
| dc.subject | SIM7600G-H 4G HAT | |
| dc.subject | Vital Sign measurement | |
| dc.title | Real Time Vital Sign Monitoring System using AWR1642 Radar Module with Remote Access |
