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

New Methods (693) Sleep Monitoring, Sleep Quality, Sleep Disorders (122) Sleep Apnea (19)

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 Sadek 1, 2, 3 Author Orcid Image ;   Terry Tan Soon Heng 4 Author Orcid Image ;   Edwin Seet 5 Author Orcid Image ;   Bessam Abdulrazak 1, 2 Author Orcid Image
Article Authors Cited by (16) 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