SleepSense: Non-invasive sleep event recognition using an electromagnetic probe

2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015

Volumn , Issue , 2015, Pages

  Zhuang, Yan ^a   Song, Chen ^a   Wang, Aosen ^a   Lin, Feng ^a   Li, Yiran ^b   Gu, Changzhan ^b   Li, Changzhi ^b   Xu, Wenyao ^a  

^a UNIVERSITY AT BUFFALO   (United States)

^b Texas Tech University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBES; SIGNAL PROCESSING; SLEEP RESEARCH; WEARABLE SENSORS; WEARABLE TECHNOLOGY;

CONTACT LESS; ELECTROMAGNETIC PROBES; EVENT DETECTION; EVENT RECOGNITION; HUMAN HEALTH; REAL CASE; SLEEP MONITORING; SLEEP MONITORING DEVICES;

BODY SENSOR NETWORKS;

EID: 84961612874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2015.7299364     Document Type: Conference Paper

References (17)

1. N. Douglas, D. White, C. Pickett, J. Weil, and C. Zwillich. Respiration during sleep in normal man. Thorax, 37(11):840-844, 1982.
2. A. Droitcour, V. Lubecke, J. Lin, and O. Boric-Lubecke. A microwave radio for doppler radar sensing of vital signs. In Microwave Symposium Digest, 2001 IEEE MTT-S International, volume 1, pages 175-178. IEEE, 2001.
3. T. Hao, G. Xing, and G. Zhou. isleep: unobtrusive sleep quality monitoring using smartphones. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, page 4. ACM, 2013.
4. M.-C. Huang, J. Liu, W. Xu, C. Gu, C. Li, and M. Sarrafzadeh. A self-calibrating radar system design for measuring vital signs. 2015.
5. E. Hughes, M. Lewis, and E. Reid. The application of speech recognition techniques to radar target doppler recognition: A case study. 2006.
6. Y. Li, C. Gu, T. Nikoubin, and C. Li. Wireless radar devices for smart human-computer interaction. In Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on, pages 65-68. IEEE, 2014.
7. J. Liu, M.-C. Huang, W. Xu, X. Zhang, L. Stevens, N. Alshurafa, and M. Sarrafzadeh. Breathsens: A continuous on-bed respiratory monitoring system with torso localization using an unobtrusive pressure sensing array. 2014.
8. J. J. Liu, W. Xu, M.-C. Huang, N. Alshurafa, M. Sarrafzadeh, N. Raut, and B. Yadegar. A dense pressure sensitive bedsheet design for unobtrusive sleep posture monitoring. In Pervasive Computing and Communications (PerCom), 2013 IEEE International Conference on, pages 207-215. IEEE, 2013.
9. L. Liu, M. Popescu, M. Skubic, M. Rantz, T. Yardibi, and P. Cuddihy. Automatic fall detection based on doppler radar motion signature. In Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on, pages 222-225. IEEE, 2011.
10. O. B. Lubecke, P.-W. Ong, and V. Lubecke. 10 ghz doppler radar sensing of respiration and heart movement. In Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast, pages 55-56. IEEE, 2002.
11. M. Rofouei, M. Sinclair, R. Bittner, T. Blank, N. Saw, G. DeJean, and J. Heffron. A non-invasive wearable neck-cuff system for real-time sleep monitoring. In Body Sensor Networks (BSN), 2011 International Conference on, pages 156-161. IEEE, 2011.
12. M. Sateia, K. Doghramji, P. Hauri, and C. Morin. Evaluation of chronic insomnia. An American Academy of Sleep Medicine Review, 23(2):243-308, 2000.
13. C. Wang, A. Hunter, N. Gravill, and S. Matusiewicz. Unconstrained video monitoring of breathing behaviour and application to diagnosis of sleep apnoea. IEEE, 2014.
14. J. Wang, X. Wang, L. Chen, J. Huangfu, C. Li, and L. Ran. Noncontact distance and amplitude-independent vibration measurement based on an extended dacm algorithm. Instrumentation and Measurement, IEEE Transactions on, 63(1):145-153, 2014.
15. J. Wilde-Frenz and H. Schulz. Rate and distribution of body movements during sleep in humans. Perceptual and motor skills, 56(1):275-283, 1983.
16. M. Zakrzewski, H. Raittinen, and J. Vanhala. Comparison of center estimation algorithms for heart and respiration monitoring with microwave doppler radar. Sensors Journal, IEEE, 12(3):627-634, 2012.
17. C. Zheng, T. Hu, S. Qiao, Y. Sun, J. Huangfu, and L. Ran. Doppler bio-signal detection based time-domain hand gesture recognition. In Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), 2013 IEEE MTT-S International, pages 3-3. IEEE, 2013.