Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20921, first published .
Current Status and Future Challenges of Sleep Monitoring Systems: Systematic Review

Current Status and Future Challenges of Sleep Monitoring Systems: Systematic Review

Current Status and Future Challenges of Sleep Monitoring Systems: Systematic Review

Authors of this article:

Qiang Pan1 Author Orcid Image ;   Damien Brulin1 Author Orcid Image ;   Eric Campo1 Author Orcid Image

Journals

  1. Pan Q, Brulin D, Campo E. Home sleep monitoring based on wrist movement data processing. Procedia Computer Science 2021;183:696 View
  2. Farooq A, Zhang P. A comprehensive review on the prospects of next-generation wearable electronics for individualized health monitoring, assistive robotics, and communication. Sensors and Actuators A: Physical 2022;344:113715 View
  3. Pan Q, Brulin D, Campo E. Evaluation of a Wireless Home Sleep Monitoring System Compared to Polysomnography. IRBM 2023;44(2):100735 View
  4. Sadek I, Abdulrazak B. Contactless remote monitoring of sleep: evaluating the feasibility of an under-mattress sensor mat in a real-life deployment. Health Systems 2023;12(3):264 View
  5. Siyanbade J, Abdulrazak B, Sadek I. Unobtrusive Monitoring of Sleep Cycles: A Technical Review. BioMedInformatics 2022;2(1):204 View
  6. 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
  7. Pan Q, Brulin D, Campo E. Wrist movement analysis for long-term home sleep monitoring. Expert Systems with Applications 2022;187:115952 View
  8. Chouraki A, Tournant J, Arnal P, Pépin J, Bailly S. Objective multi-night sleep monitoring at home: variability of sleep parameters between nights and implications for the reliability of sleep assessment in clinical trials. SLEEP 2023;46(5) View
  9. Radhakrishnan B, Kirubakaran E, Jebadurai I, Selvakumar A, Peter J. Efficacy of Single-Channel EEG: A Propitious Approach for In-home Sleep Monitoring. Frontiers in Public Health 2022;10 View
  10. Radhakrishnan B. L. , Ezra K, Jebadurai I. Feature Extraction From Single-Channel EEG Using Tsfresh and Stacked Ensemble Approach for Sleep Stage Classification. International Journal of e-Collaboration 2023;19(3):1 View
  11. Zhong L, He S, Lin J, Wu J, Li X, Pang Y, Li Z. Technological Requirements and Challenges in Wireless Body Area Networks for Health Monitoring: A Comprehensive Survey. Sensors 2022;22(9):3539 View
  12. Ying S, Wang L, Zhao Y, Ma M, Ding Q, Xie J, Yao D, Mitra S, Chen M, Liu T. A Novel In-Home Sleep Monitoring System Based on Fully Integrated Multichannel Front-End Chip and Its Multilevel Analyses. IEEE Journal of Translational Engineering in Health and Medicine 2023;11:211 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. Wenjian W, Qian X, Jun X, Zhikun H. DynamicSleepNet: a multi-exit neural network with adaptive inference time for sleep stage classification. Frontiers in Physiology 2023;14 View
  15. Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR mHealth and uHealth 2023;11:e49144 View
  16. Kwon S, Kim H, Kwon K, Kim H, Kim Y, Lee S, Kwon Y, Jeong J, Trotti L, Duarte A, Yeo W. At-home wireless sleep monitoring patches for the clinical assessment of sleep quality and sleep apnea. Science Advances 2023;9(21) View
  17. 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
  18. Li L, Yang C, Wang Z, Xiao K, Min R. Stretchable polymer optical fiber embedded in the mattress for respiratory and heart rate monitoring. Optics & Laser Technology 2024;171:110356 View
  19. Nagele A, Hough J. “The sleep data looks way better than I feel.” An autoethnographic account and diffractive reading of sleep-tracking. Frontiers in Computer Science 2024;6 View
  20. Haghi M, Madrid N, Seepold R. In-Home, Smart Sleep Monitoring System for Cardiorespiratory Estimation and Sleep Apnea Detection: Proof of Concept. IEEE Sensors Journal 2024;24(8):13364 View
  21. Braun M, Stockhoff M, Tijssen M, Dietz-Terjung S, Coughlin S, Schöbel C. A Systematic Review on the Technical Feasibility of Home-Polysomnography for Diagnosis of Sleep Disorders in Adults. Current Sleep Medicine Reports 2024;10(2):276 View
  22. Huang J, Cai Y, Xie G, Xu X, Geng Z, Jiang Y, Su Y. Hierarchical carbon nanotube-decorated polyacrylonitrile smart textiles for wearable biomonitoring. Wearable Electronics 2024;1:180 View
  23. Hong W. Twistable and Stretchable Nasal Patch for Monitoring Sleep-Related Breathing Disorders Based on a Stacking Ensemble Learning Model. ACS Applied Materials & Interfaces 2024;16(36):47337 View
  24. 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

Books/Policy Documents

  1. Hand R, Cleland I, Nugent C, Synnott J. Pervasive Computing Technologies for Healthcare. View
  2. Adil H, Adil M, Raghuwanshi S, Gupta A. Machine Learning and Metaheuristics: Methods and Analysis. View
  3. Wyawahare M, Bhole R, Bobade V, Chavan A, Dehankar S. Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics. View