This paper is in the following e-collection/theme issue:

New Methods (1127) Sleep Monitoring, Sleep Quality, Sleep Disorders (263) Sleep Apnea (35)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18297, first published .
A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study

A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study

A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study

Authors of this article:

Ibrahim Sadek1, 2, 3 Author Orcid Image ;   Terry Tan Soon Heng4 Author Orcid Image ;   Edwin Seet5 Author Orcid Image ;   Bessam Abdulrazak1, 2 Author Orcid Image
Article Authors Cited by (35) Tweetations (7) Metrics

Journals

  1. Gardner M, Randhawa S, Malouf G, Reynolds K. A Wearable Ballistocardiography Device for Estimating Heart Rate During Positive Airway Pressure Therapy: Investigational Study Among the General Population. JMIR Cardio 2021;5(1):e26259 View
  2. Ramachandran A, Karuppiah A. A Survey on Recent Advances in Machine Learning Based Sleep Apnea Detection Systems. Healthcare 2021;9(7):914 View
  3. Sadek I, Abdulrazak B. A comparison of three heart rate detection algorithms over ballistocardiogram signals. Biomedical Signal Processing and Control 2021;70:103017 View
  4. Lin C, Wang Y, Setiawan F, Trang N, Lin C. Sleep Apnea Classification Algorithm Development Using a Machine-Learning Framework and Bag-of-Features Derived from Electrocardiogram Spectrograms. Journal of Clinical Medicine 2021;11(1):192 View
  5. Jung H, Kimball J, Receveur T, Agdeppa E, Inan O. Accurate Ballistocardiogram Based Heart Rate Estimation Using an Array of Load Cells in a Hospital Bed. IEEE Journal of Biomedical and Health Informatics 2021;25(9):3373 View
  6. Lee Y, Kang H, Choi J, Moon J, Lee Y, Ha T, Lee H. Validation Study of a Contactless Monitoring Device for Vital Signs During Sleep and Sleep Architecture in Adults With Sleep-Disordered Breathing. Sleep Medicine Research 2021;12(2):118 View
  7. Hussain Z, Sheng Q, Zhang W, Ortiz J, Pouriyeh S. Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review. ACM Transactions on Computing for Healthcare 2022;3(2):1 View
  8. Chan P, Ryan N, Chen D, McNeil J, Hopper I. Novel wearable and contactless heart rate, respiratory rate, and oxygen saturation monitoring devices: a systematic review and meta‐analysis. Anaesthesia 2022;77(11):1268 View
  9. Zhao C, Liu D, Xu G, Zhou J, Zhang X, Liao C, Wang Y. Recent advances in fiber optic sensors for respiratory monitoring. Optical Fiber Technology 2022;72:103000 View
  10. Hanif U, Leary E, Schneider L, Paulsen R, Morse A, Blackman A, Schweitzer P, Kushida C, Liu S, Jennum P, Sorensen H, Mignot E. Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans. IEEE Journal of Biomedical and Health Informatics 2021;25(11):4185 View
  11. Zhao C, Liu D, Xu G, Zhou J, Zhang X, Liao C, Wang Y. Recent Advances in Fiber Optic Sensors for Respiratory Monitoring. SSRN Electronic Journal 2022 View
  12. . Trends in Passive IoT Biomarker Monitoring and Machine Learning for Cardiovascular Disease Management in the U.S. Elderly Population. Advances in Geriatric Medicine and Research 2023 View
  13. Haghi M, Asadov A, Boiko A, Ortega J, Martínez Madrid N, Seepold R. Validating Force Sensitive Resistor Strip Sensors for Cardiorespiratory Measurement during Sleep: A Preliminary Study. Sensors 2023;23(8):3973 View
  14. Duarte M, Pereira-Rodrigues P, Ferreira-Santos D. The Role of Novel Digital Clinical Tools in the Screening or Diagnosis of Obstructive Sleep Apnea: Systematic Review. Journal of Medical Internet Research 2023;25:e47735 View
  15. Boiko A, Gaiduk M, Scherz W, Gentili A, Conti M, Orcioni S, Martínez Madrid N, Seepold R. Monitoring of Cardiorespiratory Parameters during Sleep Using a Special Holder for the Accelerometer Sensor. Sensors 2023;23(11):5351 View
  16. Stern L, Roshan Fekr A. Recent Advances and Applications of Textile Technology in Patient Monitoring. Healthcare 2023;11(23):3066 View
  17. Espinosa M, Ponce P, Molina A, Borja V, Torres M, Rojas M. Advancements in Home-Based Devices for Detecting Obstructive Sleep Apnea: A Comprehensive Study. Sensors 2023;23(23):9512 View
  18. Abu K, Khraiche M, Amatoury J. Obstructive sleep apnea diagnosis and beyond using portable monitors. Sleep Medicine 2024;113:260 View
  19. Hayano J, Yamamoto H, Tanaka H, Yuda E. Piezoelectric rubber sheet sensor: a promising tool for home sleep apnea testing. Sleep and Breathing 2024;28(3):1273 View
  20. Khan M. Advanced Prospects for Management of Obstructive Sleep Apnea: An Updated Comprehensive Review. Journal of the Scientific Society 2024;51(1):12 View
  21. Zhao T, Li Z, Liu W, Fu X, Zhou Y, Zhou L. Unconstrained Respiratory Event Detection Using a Flexible Tactile Sensor. IEEE Sensors Journal 2024;24(19):30095 View
  22. Haghi M, Gaiduk M, Stoffers M, TaheriNejad N, Penzel T, Madrid N, Seepold R. Evolution of Bed-Based Sensor Technology in Unobtrusive Sleep Monitoring: A Review. IEEE Sensors Journal 2024;24(19):29545 View
  23. Guarducci S, Jayousi S, Caputo S, Mucchi L. Key Fundamentals and Examples of Sensors for Human Health: Wearable, Non-Continuous, and Non-Contact Monitoring Devices. Sensors 2025;25(2):556 View
  24. Hayano J, Adachi M, Murakami Y, Sasaki F, Yuda E. Detection of sleep apnea using only inertial measurement unit signals from apple watch: a pilot-study with machine learning approach. Sleep and Breathing 2025;29(1) View
  25. Zhang B, Peng Z, Dong C, Hu J, Long X, Lyu T, Lu P. Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study. Frontiers in Neuroscience 2025;19 View
  26. Hu D, Gao W, Ang K, Hu M, Huang R, Shao Y. FECT-OSA: A transformer-enhanced multimodal system for non-contact sleep apnea monitoring. Alexandria Engineering Journal 2025;128:628 View
  27. Ntsweng O, Kodyš M, Ong Z, Zhou F, Marassé-Enouf A, Sadek I, Aloulou H, Tan S, Mokhtari M. Lessons Learned From the Integration of Ambient Assisted Living Technologies in Older Adults’ Care: Longitudinal Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies 2025;12:e57989 View
  28. Oliwia Sójkowska-Sławińska , Tobiasz Sławiński , Anna Leśniewska , Patryk Macuk , Natalia Rutecka . POLYSOMNOGRAPHY VERSUS PORTABLE DEVICES AND MOBILE APPLICATIONS IN THE DIAGNOSIS OF OBSTRUCTIVE SLEEP APNEA: A NARRATIVE REVIEW OF CURRENT EVIDENCE. International Journal of Innovative Technologies in Social Science 2025;3(3(47)) View
  29. Daneshvar S, Rahimi M, Ansarin K. Tracing the evolution in sleep apnea detection: a review from traditional non-contact under-the-mattress devices to advanced AI-driven methods. Sleep and Breathing 2025;29(6) View

Conference Proceedings

  1. Sadek I, Abdulrazak B, Heng T, Seet E. 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Heart Rate Detection using a Contactless Bed Sensor: A Comparative Study of Wavelet Methods View
  2. Tahir S, Sadek I, Abdulrazak B. 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). A CNN - ELM-Based Method for Ballistocardiogram Classification in a Clinical Environment View
  3. Sadek I, Abdulrazak B, Mokhtari M. 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). Evaluating an IoT under-mattress sensor mat for detecting anomalies in sleep parameters: A pilot study View
  4. Shao Y, Hu D, Liu Y, Li Z, Fan X, Gao W. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Cross-Domain Based Deep Neural Network for Obstructive Sleep Apnea Detection via Piezoelectric Ceramic Sensor Array View
  5. Liu Y, Shao Y, Qiu M, Huang R, Xiao Y, Lv B, Gao W. 2023 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC). A Novel Deep Neural Network for Sleep Apnea Event Detection with Pressure Signals View
  6. Chen X, Cai J, Mo Z, Zhu W, Yu B, Zhang H. Proceedings of the 2024 International Conference on Sports Technology and Performance Analysis. Non-contact Detection of Sleep Apnea Using Multi-Timescale Cardiopulmonary Features View