research-article

HeartSense: Ubiquitous Accurate Multi-Modal Fusion-based Heart Rate Estimation Using Smartphones

Authors:

Moustafa YoussefAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 3

Article No.: 97, Pages 1 - 18

https://doi.org/10.1145/3132028

Published: 11 September 2017 Publication History

Abstract

Heart rate is one of the most important vital signals for personal health tracking. A number of smartphone-based heart rate estimation systems have been proposed over the years. However, they either depend on special hardware sensors or suffer from the high noise due to the weakness of the heart signals, affecting their accuracy in many practical scenarios.

Inspired by medical studies about the heart motion mechanics, we propose the HeartSense heart rate estimation system. Specifically, we show that the gyroscope sensor is the most sensitive sensor for measuring the heart rate. To further counter noise and handle different practical scenarios, we introduce a novel quality metric that allows us to fuse the different gyroscope axes in a probabilistic framework to achieve a robust and accurate estimate.

We have implemented and evaluated our system on different Android phones. Results using 836 experiments on different subjects in practical scenarios with a side-by-side comparison with other systems show that HeartSense can achieve 1.03 bpm median absolute error for heart rate estimation. This is better than the state-of-the-art by more than 147% in median error, highlighting HeartSense promise as a ubiquitous system for medical and personal well-being applications.

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Cited By

Wang LWang XZhang YMa XDai HZhang YLi ZGu T(2024)Accurate Blood Pressure Measurement Using Smartphone's Built-in AccelerometerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595998:2(1-28)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659599
Wu WElgendi MFletcher RBomberg HEichenberger UGuan CMenon C(2023)Detection of heart rate using smartphone gyroscope data: a scoping reviewFrontiers in Cardiovascular Medicine10.3389/fcvm.2023.132929010Online publication date: 18-Dec-2023
https://doi.org/10.3389/fcvm.2023.1329290
Rawassizadeh RRong Y(2023)ODSearchProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694886:4(1-25)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3569488
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Index Terms

HeartSense: Ubiquitous Accurate Multi-Modal Fusion-based Heart Rate Estimation Using Smartphones
1. Human-centered computing
  1. Ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 3

September 2017

2023 pages

EISSN:2474-9567

DOI:10.1145/3139486

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Copyright © 2017 ACM.

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Publication History

Published: 11 September 2017

Accepted: 01 June 2017

Revised: 01 May 2017

Received: 01 February 2017

Published in IMWUT Volume 1, Issue 3

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Cited By

Wang LWang XZhang YMa XDai HZhang YLi ZGu T(2024)Accurate Blood Pressure Measurement Using Smartphone's Built-in AccelerometerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595998:2(1-28)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659599
Wu WElgendi MFletcher RBomberg HEichenberger UGuan CMenon C(2023)Detection of heart rate using smartphone gyroscope data: a scoping reviewFrontiers in Cardiovascular Medicine10.3389/fcvm.2023.132929010Online publication date: 18-Dec-2023
https://doi.org/10.3389/fcvm.2023.1329290
Rawassizadeh RRong Y(2023)ODSearchProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694886:4(1-25)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3569488
Mehmood ASarouji ARahman MAl-Naffouri T(2023)Your smartphone could act as a pulse-oximeter and as a single-lead ECGScientific Reports10.1038/s41598-023-45933-313:1Online publication date: 6-Nov-2023
https://doi.org/10.1038/s41598-023-45933-3
Kateu FJakllari GChaput E(2023)Unobstrusive smartphone-based oxygen saturation measurement using a Meta-Region of interestPervasive and Mobile Computing10.1016/j.pmcj.2022.10174188:COnline publication date: 1-Jan-2023
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Sabir IBaber JAhmed ASheikh NBakhtyar MKhan ADevi VBalas V(2022)Deep transferable learning on heartbeat classification for imbalance datasetJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21930543:2(2057-2067)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JIFS-219305
Wang LLi WSun KZhang FGu TXu CZhang D(2022)LoEarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35502936:3(1-24)Online publication date: 7-Sep-2022
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Xie ZZhou BCheng XSchoenfeld EYe F(2022)Passive and Context-Aware In-Home Vital Signs Monitoring Using Co-Located UWB-Depth Sensor FusionACM Transactions on Computing for Healthcare10.1145/35499413:4(1-31)Online publication date: 3-Nov-2022
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Wang DWeng JZou YWu K(2022)EmoTracer: A Wearable Physiological and Psychological Monitoring System With Multi-modal SensorsAdjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers10.1145/3544793.3560409(444-449)Online publication date: 11-Sep-2022
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Kateu FJakllari GChaput E(2022)SmartPhOx: Smartphone-Based Pulse Oximetry Using a Meta-Region Of Interest2022 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom53586.2022.9762399(130-140)Online publication date: 21-Mar-2022
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