Published on in Vol 19, No 4 (2017): April

Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles

Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles

Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles

Journals

  1. Burgdorf A, Güthe I, Jovanović M, Kutafina E, Kohlschein C, Bitsch J, Jonas S. The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices. Computers in Biology and Medicine 2018;103:8 View
  2. Hossain H, Ramamurthy S, Khan M, Roy N. An Active Sleep Monitoring Framework Using Wearables. ACM Transactions on Interactive Intelligent Systems 2018;8(3):1 View
  3. Beran R. Using technology to improve patient care. Medical Journal of Australia 2020;212(6):254 View
  4. Trifan A, Oliveira M, Oliveira J. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mHealth and uHealth 2019;7(8):e12649 View
  5. Turvey C, Fortney J. The Use of Telemedicine and Mobile Technology to Promote Population Health and Population Management for Psychiatric Disorders. Current Psychiatry Reports 2017;19(11) View
  6. Calvo R, Dinakar K, Picard R, Christensen H, Torous J. Toward Impactful Collaborations on Computing and Mental Health. Journal of Medical Internet Research 2018;20(2):e49 View
  7. Aledavood T, Torous J, Triana Hoyos A, Naslund J, Onnela J, Keshavan M. Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders. Current Psychiatry Reports 2019;21(7) View
  8. Snyder C, Dorsey E, Atreja A. The Best Digital Biomarkers Papers of 2017. Digital Biomarkers 2018;2(2):64 View
  9. Nicholas J, Shilton K, Schueller S, Gray E, Kwasny M, Mohr D. The Role of Data Type and Recipient in Individuals’ Perspectives on Sharing Passively Collected Smartphone Data for Mental Health: Cross-Sectional Questionnaire Study. JMIR mHealth and uHealth 2019;7(4):e12578 View
  10. Purswani J, Dicker A, Champ C, Cantor M, Ohri N. Big Data From Small Devices: The Future of Smartphones in Oncology. Seminars in Radiation Oncology 2019;29(4):338 View
  11. Sano A, Chen W, Lopez-Martinez D, Taylor S, Picard R. Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. IEEE Journal of Biomedical and Health Informatics 2019;23(4):1607 View
  12. Azimi I, Oti O, Labbaf S, Niela-Vilen H, Axelin A, Dutt N, Liljeberg P, Rahmani A. Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study. IEEE Access 2019;7:93433 View
  13. Thong M, Chan R, van den Hurk C, Fessele K, Tan W, Poprawski D, Fernández-Ortega P, Paterson C, Fitch M. Going beyond (electronic) patient-reported outcomes: harnessing the benefits of smart technology and ecological momentary assessment in cancer survivorship research. Supportive Care in Cancer 2021;29(1):7 View
  14. Baniasadi T, Niakan Kalhori S, Ayyoubzadeh S, Zakerabasali S, Pourmohamadkhan M. Study of challenges to utilise mobile-based health care monitoring systems: A descriptive literature review. Journal of Telemedicine and Telecare 2018;24(10):661 View
  15. Kim J, Kim T, Shin J, Choe G, Lim H, Rhee C, Lee K, Cho S. Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset. Clinical and Experimental Otorhinolaryngology 2019;12(1):72 View
  16. Zhou L, DeAlmeida D, Parmanto B. Applying a User-Centered Approach to Building a Mobile Personal Health Record App: Development and Usability Study. JMIR mHealth and uHealth 2019;7(7):e13194 View