LYING POSTURE DETECTION FOR UNCONSTRAINED MEASUREMENT OF RESPIRATION AND HEARTBEAT ON A BED

Toshiharu Mukai, Kazuya Matsuo, Yo Kato, Atsuki Shimizu, Shijie Guo

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References

  1. [1] S. Tanaka, Y. Matsumoto, and K. Wakimoto, Unconstrained and non-invasive measurement of heartbeat and respiration periods using a phonocardiographic sensor, Medical and Biological Engineering and Computing, 40(2), 2002, 246-252.
  2. [2] K. Watanabe, T. Watanabe, H. Watanabe, H. Ando, T. Ishikawa, and K. Kobayashi, Noninvasive measurement of heartbeat, respiration, snoring and body movements of a subject in bed via a pneumatic method, IEEE Trans. on Biomedical Engineering, 52(12), 2005, 2100-2107.
  3. [3] B.Y. Su, K.C. Ho, M. Skubic, and L. Rosales, Pulse rate estimation using hydraulic bed sensor, Proc. 34th Annu. Int. Conf. of the IEEE EMBS (EMBC2012), San Diego, USA, 2012, 2587–2590.
  4. [4] N. Bu, N. Ueno, and O. Fukuda, Monitoring of respiration and heartbeat during sleep using a flexible piezoelectric film sensor and empirical mode decomposition, Proc. 29th Annu. Int. Conf. of the IEEE EMBS (EMBC2007), Lyon, France, 2007, 1362-1366.
  5. [5] G.S. Chung, B.H. Choi, D.U. Jeong, and K.S. Park, Noninvasive heart rate variability analysis using loadcell-installed bed during sleep, Proc. 29th Annu. Int. Conf. of the IEEE EMBS (EMBC2007), Lyon, France, 2007, 2357-2360.
  6. [6] Y. Yamana, S. Tsukamoto, K. Mukai, H. Maki, H. Ogawa, and Y. Yonezawa, A sensor for monitoring pulse rate, respiration rhythm, and body movement in bed, Proc. 33rd Annu. Int. Conf. of the IEEE EMBS (EMBC2011), Boston, USA, 2011, 5323-5326.
  7. [7] C. Li, J. Lin, and Y. Xiao, Robust overnight monitoring of human vital signs by a non-contact respiration and heartbeat detector, Proc. 28th Annu. Int. Conf. of the IEEE EMBS (EMBC2006), New York, USA, 2006, 2235-2238.
  8. [8] Y. Nishida, M. Takeda, T. Mori, H. Mizoguchi, and T. Sato, Unrestrained and non-invasive monitoring of human’s respiration and posture in sleep using pressure sensors, J. of the Robotic Society of Japan, 16(5), 1998, 705-711 (in Japanese).
  9. [9] S. Guo, Y. Kato, H. Ito and T. Mukai,Development of rubber-based flexible sensor sheet for care-related apparatus, SEI Technical Review, 75, 2012, 125-131.
  10. [10] R. Cork, XSENSOR technology: a pressure imaging overview, Sensor Review, 27(1), 2007, 24-28.
  11. [11] K. Matsuo, Y. Kato, A. Shimizu, S. Guo, and T. Mukai, Measurement of respiration and heartbeat using a flexible tactile sensor sheet on a bed, Proc. 11th IASTED Int. Conf. on Biomedical Engineering (BioMed2014), Zurich, Switzerland, 2014 (Accepted).
  12. [12] N. Cristianini and J. Shawe-Taylor, An Introduction to support vector machines and other kernel-based learning methods (Cambridge, UK; Cambridge University Press, 2000).
  13. [13] Q. Le, M.A. Ranzato, R. Monga, M. Devin, J. Chen, G. Corrado, J. Dean, and A. Ng, Building highlevel features using large scale unsupervised learning, Proc. 29th Int. Conf. on Machine Learning (ICML2012), Edinburgh, Scotland, 2012, 81-88.
  14. [14] L. Breiman, Random forests, Machine Learning, 45(1), 2001, 5-32.
  15. [15] Y. Freund and R. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, Journal of Computer and System Science, 55, 1997, 119-139.
  16. [16] J. Zhu, H. Zou, S. Rosset, and T. Hastie, Multi-class AdaBoost, Statistics and its Interface, 2, 2009, 349360.

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