research-article

SleepMonitor: Monitoring Respiratory Rate and Body Position During Sleep Using Smartwatch

Authors:

Guohong CaoAuthors Info & Claims

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

Article No.: 104, Pages 1 - 22

https://doi.org/10.1145/3130969

Published: 11 September 2017 Publication History

Abstract

Respiratory rate and body position are two major physiological parameters in sleep study, and monitoring them during sleep can provide helpful information for health care. In this paper, we present SleepMonitor, a smartwatch based system which leverages the built-in accelerometer to monitor the respiratory rate and body position. To calculate respiratory rate, we design a filter to extract the weak respiratory signal from the noisy accelerometer data collected on the wrist, and use frequency analysis to estimate the respiratory rate from the data along each axis. Further, we design a multi-axis fusion approach which can adaptively adjust the estimates from the three axes and then significantly improve the estimation accuracy. To detect the body position, we apply machine learning techniques based on the features extracted from the accelerometer data. We have implemented our system on Android Wear based smartwatches and evaluated its performance in real experiments. The results show that our system can monitor respiratory rate and body position during sleep with high accuracy under various conditions.

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Cited By

Peruzzi GGalli AGiorgi GPozzebon A(2025)Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure SensorsSensors10.3390/s2502045825:2(458)Online publication date: 14-Jan-2025
https://doi.org/10.3390/s25020458
Manners JKemps ELechat BCatcheside PEckert DScott H(2025)Performance evaluation of an under‐mattress sleep sensor versus polysomnography in > 400 nights with healthy and unhealthy sleepJournal of Sleep Research10.1111/jsr.14480Online publication date: 28-Feb-2025
https://doi.org/10.1111/jsr.14480
Feli MKazemi KAzimi ILiljeberg PRahmani A(2025)Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimationComputers in Biology and Medicine10.1016/j.compbiomed.2025.109798188(109798)Online publication date: Apr-2025
https://doi.org/10.1016/j.compbiomed.2025.109798
Show More Cited By

Index Terms

SleepMonitor: Monitoring Respiratory Rate and Body Position During Sleep Using Smartwatch
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools
    2. Ubiquitous and mobile devices
      1. Mobile devices

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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

Issue’s Table of Contents

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 11 September 2017

Accepted: 01 July 2017

Revised: 01 May 2017

Received: 01 February 2017

Published in IMWUT Volume 1, Issue 3

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Cited By

Peruzzi GGalli AGiorgi GPozzebon A(2025)Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure SensorsSensors10.3390/s2502045825:2(458)Online publication date: 14-Jan-2025
https://doi.org/10.3390/s25020458
Manners JKemps ELechat BCatcheside PEckert DScott H(2025)Performance evaluation of an under‐mattress sleep sensor versus polysomnography in > 400 nights with healthy and unhealthy sleepJournal of Sleep Research10.1111/jsr.14480Online publication date: 28-Feb-2025
https://doi.org/10.1111/jsr.14480
Feli MKazemi KAzimi ILiljeberg PRahmani A(2025)Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimationComputers in Biology and Medicine10.1016/j.compbiomed.2025.109798188(109798)Online publication date: Apr-2025
https://doi.org/10.1016/j.compbiomed.2025.109798
Elnaggar OPaoletti PHopkinson ACoenen F(2025)Sleep posture analysis: state-of-the-art and opportunities of wearable technologies from clinical, sensing and intelligent perception perspectivesBiomedical Robots and Devices in Healthcare10.1016/B978-0-443-22206-1.00004-8(109-134)Online publication date: 2025
https://doi.org/10.1016/B978-0-443-22206-1.00004-8
Li SJin BWang ZZhang FRen XLiu H(2024)Leveraging Attention-reinforced UWB Signals to Monitor Respiration during SleepACM Transactions on Sensor Networks10.1145/368055020:5(1-28)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3680550
Wang JZhang DZhang BChen JHu YChen Y(2024)RF-GymCare: Introducing Respiratory Prior for RF Sensing in Gym EnvironmentsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785688:3(1-28)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678568
Xie WXu CGong YWang YLiu YZhang JZhang QZheng ZYang S(2024)DeepBreath: Breathing Exercise Assessment with a Depth CameraProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785198:3(1-26)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678519
Han FYang PFeng YJiang WZhang YLi X(2024)EarSleep: In-ear Acoustic-based Physical and Physiological Activity Recognition for Sleep Stage DetectionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595958:2(1-31)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659595
Adhikari ASur S(2024)MiSleep: Human Sleep Posture Identification from Deep Learning Augmented Millimeter-wave Wireless SystemsACM Transactions on Internet of Things10.1145/36438665:2(1-33)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1145/3643866
Adhikary RSadeh MBatra NGoel M(2024)JoulesEyeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314227:4(1-29)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631422
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