research-article

Estimating respiration rate using an accelerometer sensor

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Phan Duy HungAuthors Info & Claims

CSBio '17: Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics

Pages 11 - 14

https://doi.org/10.1145/3156346.3156349

Published: 07 December 2017 Publication History

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Abstract

Breathing activity can be independently measured electronically, e.g., using a thoracic belt or a nasal thermistor or be reconstructed from noninvasive measurements such as an ECG. In this paper, the use of an accelerometer sensor to measure respiratory activity is presented. Movement of the chest was recorded by an accelerometer sensor attached to a belt around the chest. The acquisition is realized in different status: normal, apnea, deep breathing or after exhaustion and also in different postures: vertical (sitting, standing) or horizontal (lying down). The results of the experimental evaluation indicate that using a chest-accelerometer can correctly detect the waveform and the respiration rate. This method could, therefore, be suitable for automatic identification of some respiratory malfunction, for example during the obstructive apnea.

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Vaussenat FBhattacharya ABoudreau PBoivin DGagnon GCloutier S(2024)Derivative Method to Detect Sleep and Awake States through Heart Rate Variability Analysis Using Machine Learning AlgorithmsSensors10.3390/s2413431724:13(4317)Online publication date: 3-Jul-2024
https://doi.org/10.3390/s24134317
Payette JVaussenat FCloutier S(2024)Heart Rate Measurement Using the Built-In Triaxial Accelerometer from a Commercial Digital Writing DeviceSensors10.3390/s2407223824:7(2238)Online publication date: 31-Mar-2024
https://doi.org/10.3390/s24072238
de Sena SHäggman MRanta JRoienko OIlén EAcosta NSalama JKirjavainen TStevenson NAiraksinen MVanhatalo S(2024)NAPping PAnts (NAPPA): An Open Wearable Solution for Monitoring Infant’s Sleeping Rhythms, Respiration and PostureHeliyon10.1016/j.heliyon.2024.e33295(e33295)Online publication date: Jun-2024
https://doi.org/10.1016/j.heliyon.2024.e33295
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Index Terms

Estimating respiration rate using an accelerometer sensor
1. Applied computing
  1. Life and medical sciences
    1. Bioinformatics

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Published In

CSBio '17: Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics

December 2017

83 pages

ISBN:9781450353502

DOI:10.1145/3156346

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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SOICT: School of Information and Communication Technology - HUST
NAFOSTED: The National Foundation for Science and Technology Development
KMUTT: King Mongkut's University of Technology Thonburi

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2017

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CSBio '17

CSBio '17: 8th International Conference on Computational Systems-Biology and Bioinformatics

December 7 - 8, 2017

Nha Trang City, Viet Nam

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Overall Acceptance Rate 23 of 37 submissions, 62%

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Cited By

View all

Vaussenat FBhattacharya ABoudreau PBoivin DGagnon GCloutier S(2024)Derivative Method to Detect Sleep and Awake States through Heart Rate Variability Analysis Using Machine Learning AlgorithmsSensors10.3390/s2413431724:13(4317)Online publication date: 3-Jul-2024
https://doi.org/10.3390/s24134317
Payette JVaussenat FCloutier S(2024)Heart Rate Measurement Using the Built-In Triaxial Accelerometer from a Commercial Digital Writing DeviceSensors10.3390/s2407223824:7(2238)Online publication date: 31-Mar-2024
https://doi.org/10.3390/s24072238
de Sena SHäggman MRanta JRoienko OIlén EAcosta NSalama JKirjavainen TStevenson NAiraksinen MVanhatalo S(2024)NAPping PAnts (NAPPA): An Open Wearable Solution for Monitoring Infant’s Sleeping Rhythms, Respiration and PostureHeliyon10.1016/j.heliyon.2024.e33295(e33295)Online publication date: Jun-2024
https://doi.org/10.1016/j.heliyon.2024.e33295
Rathore KVijayarangan SSP PSivaprakasam M(2023)A Multifunctional Network with Uncertainty Estimation and Attention-Based Knowledge Distillation to Address Practical Challenges in Respiration Rate EstimationSensors10.3390/s2303159923:3(1599)Online publication date: 1-Feb-2023
https://doi.org/10.3390/s23031599
Vaussenat FBhattacharya APayette JBenavides-Guerrero JPerrotton AGerlein LCloutier S(2023)Continuous Critical Respiratory Parameter Measurements Using a Single Low-Cost Relative Humidity Sensor: Evaluation StudyJMIR Biomedical Engineering10.2196/471468(e47146)Online publication date: 25-Oct-2023
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Vu HTran DCan KDao TPham DLe DPham QTran D(2023)Predicting Respiration Rate using Acceleration Sensors and LSTM: A novel Approach2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)10.1109/ICCAIS59597.2023.10382329(584-589)Online publication date: 27-Nov-2023
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Al-Zaben AAl-Naami BAl-Omari G(2023)Improved Processing Circuit for MEMS Accelerometer as a Respiration Sensor2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME)10.1109/ICABME59496.2023.10293054(41-43)Online publication date: 12-Oct-2023
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Vu HLe DCan KDao-To HPham DNguyen SNguyen HTran D(2023)Monitor Respiration Rate and Sleep Position Using Multi-task LearningAdvances in Information and Communication Technology10.1007/978-3-031-49529-8_10(86-93)Online publication date: 13-Dec-2023
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de Fazio RGiannoccaro NCarrasco MVelazquez RVisconti P(2021)Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment of the COVID-19 pandemic: a survey用于新型冠状病毒肺炎症状检测、感染跟踪和扩散遏制的可穿戴设备及物联网应用调查Frontiers of Information Technology & Electronic Engineering10.1631/FITEE.210008522:11(1413-1442)Online publication date: 25-Nov-2021
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