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A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags

Published: 03 February 2020 Publication History
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  • Abstract

    Inadequate sleep has very bad impacts on human daily life activities. Sleep disorders are one of the main reasons for the inadequate sleep problem. Diagnosis of these disorders is a very challenging task because they occur at night when the patients are asleep and require a full night monitoring to diagnose. Conventional sleep monitoring techniques are not feasible due to various reasons such as they require the person to wear multiple invasive sensors, the cost is high and also need special environment for monitoring. In this work, we propose a non-invasive and cost-effective solution based on passive RFID technology for sleep monitoring. We attach passive RFID tags to the shirt of the person and collect low-level data which can capture the information about the vital signs of the person. The proposed solution can detect the on-bed movements which provide useful information about the sleep of the person. We propose an adaptive threshold-based technique which can effectively identify the stable breathing and apnea regions from the collected breathing signal. The stable region is used for estimating the breathing rate. Our solution can monitor vital signs such as respiration rate during the overnight sleep and can detect sleep apnea. We implement the proposed solution using COTS RFID tags in the real world scenarios and the results show that our system achieves 100% accuracy for apnea detection and above 95% for breath rate estimation.

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    Cited By

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    • (2024)A Review of Patient Bed Sensors for Monitoring of Vital SignsSensors10.3390/s2415476724:15(4767)Online publication date: 23-Jul-2024
    • (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
    • (2024)OmniResMonitor: Omnimonitoring of Human Respiration using Acoustic Multipath ReflectionIEEE Transactions on Mobile Computing10.1109/TMC.2023.3281928(1-14)Online publication date: 2024
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      cover image ACM Other conferences
      MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
      November 2019
      545 pages
      ISBN:9781450372831
      DOI:10.1145/3360774
      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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      Publication History

      Published: 03 February 2020

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      Author Tags

      1. apnea detection
      2. breath monitoring
      3. respiration monitoring
      4. sleep disorder
      5. sleep monitoring

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      MobiQuitous
      MobiQuitous: Computing, Networking and Services
      November 12 - 14, 2019
      Texas, Houston, USA

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      Overall Acceptance Rate 26 of 87 submissions, 30%

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      Cited By

      View all
      • (2024)A Review of Patient Bed Sensors for Monitoring of Vital SignsSensors10.3390/s2415476724:15(4767)Online publication date: 23-Jul-2024
      • (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
      • (2024)OmniResMonitor: Omnimonitoring of Human Respiration using Acoustic Multipath ReflectionIEEE Transactions on Mobile Computing10.1109/TMC.2023.3281928(1-14)Online publication date: 2024
      • (2024) MultiResp : Robust Respiration Monitoring for Multiple Users using Acoustic Signal IEEE Transactions on Mobile Computing10.1109/TMC.2023.3279976(1-17)Online publication date: 2024
      • (2024)Bed-Based Ballistocardiography System Using Flexible RFID Sensors for Noninvasive Single- and Dual-Subject Vital Signs MonitoringIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.336913473(1-12)Online publication date: 2024
      • (2024)Human Breathing Rate Monitoring Using Modulated Scatterer-Based Radar Technology2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)10.1109/I2MTC60896.2024.10560566(1-6)Online publication date: 20-May-2024
      • (2024)Universal Targeted Adversarial Attacks Against mmWave-Based Human Activity RecognitionNetwork Security Empowered by Artificial Intelligence10.1007/978-3-031-53510-9_7(177-211)Online publication date: 24-Feb-2024
      • (2023)Ultrasonic-based submillimeter ranging system for contactless respiration monitoringAIP Advances10.1063/5.015699713:8Online publication date: 14-Aug-2023
      • (2022)Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive ReviewACM Transactions on Computing for Healthcare10.1145/34912453:2(1-26)Online publication date: 3-Mar-2022
      • (2022)A Survey on Radio Frequency Identification as a Scalable Technology to Face PandemicsIEEE Journal of Radio Frequency Identification10.1109/JRFID.2021.31177646(77-96)Online publication date: 2022
      • Show More Cited By

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