TY - GEN
T1 - Demo Abstract
T2 - 22nd ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2023
AU - Codling, Jesse R.
AU - Shulkin, Jeffrey D.
AU - Dong, Yiwen
AU - Zhang, Jiale
AU - Latapie, Hugo
AU - Noh, Hae Young
AU - Zhang, Pei
N1 - (开is work is funded by Cisco Systems, AiFi, and the US National Science Foundation (under grant NSF-CMMI-2026699?. (开e views and conclusions contained here are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either express or implied, of any University, Corporation, or the National Science Foundation.
PY - 2023/5/9
Y1 - 2023/5/9
N2 - Heart rate is a critical metric for human cardiovascular health. Most common methods for measuring human heart rate involve wearable devices (e.g., electrocardiography, smart watches). However, such devices can cause discomfort to some patients, especially the elderly or young children. This paper presents FreePulse, a heart rate monitoring system for seated subjects using ambient vibrations. FreePulse builds on our past work using vibrations in the building structures around us to measure human activities and health. As people's hearts beat, they push on the surfaces the body is touching, creating vibrations in those structures. We combine structure response characterization with human pulse modelling to identify these pulse-induced vibrations from ambient vibration. In testing, FreePulse has shown up to 96% pulse rate accuracy on average, competitive with consumer-grade wearable devices.
AB - Heart rate is a critical metric for human cardiovascular health. Most common methods for measuring human heart rate involve wearable devices (e.g., electrocardiography, smart watches). However, such devices can cause discomfort to some patients, especially the elderly or young children. This paper presents FreePulse, a heart rate monitoring system for seated subjects using ambient vibrations. FreePulse builds on our past work using vibrations in the building structures around us to measure human activities and health. As people's hearts beat, they push on the surfaces the body is touching, creating vibrations in those structures. We combine structure response characterization with human pulse modelling to identify these pulse-induced vibrations from ambient vibration. In testing, FreePulse has shown up to 96% pulse rate accuracy on average, competitive with consumer-grade wearable devices.
UR - https://www.scopus.com/pages/publications/85160025094
UR - https://www.scopus.com/pages/publications/85160025094#tab=citedBy
U2 - 10.1145/3583120.3589812
DO - 10.1145/3583120.3589812
M3 - Conference contribution
AN - SCOPUS:85160025094
T3 - IPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks
SP - 364
EP - 365
BT - IPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks
PB - Association for Computing Machinery
Y2 - 9 May 2023 through 12 May 2023
ER -