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

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  1. [1] S. Tanaka, Y. Matsumoto, and K. Wakimoto, Un-constrained and non-invasive measurement of heart-beat and respiration periods using a phonocardio-graphic sensor, Medical and Biological Engineeringand Computing, 40(2), 2002, 246-252.
  2. [2] K. Watanabe, T. Watanabe, H. Watanabe, H. Ando,T. Ishikawa, and K. Kobayashi, Noninvasive mea-surement of heartbeat, respiration, snoring and bodymovements of a subject in bed via a pneumaticmethod, IEEE Trans. on Biomedical Engineering,52(12), 2005, 2100-2107.
  3. [3] B.Y. Su, K.C. Ho, M. Skubic, and L. Rosales, Pulserate estimation using hydraulic bed sensor, Proc. 34thAnnu. Int. Conf. of the IEEE EMBS (EMBC2012), SanDiego, USA, 2012, 2587–2590.
  4. [4] N. Bu, N. Ueno, and O. Fukuda, Monitoring of res-piration and heartbeat during sleep using a flexiblepiezoelectric film sensor and empirical mode decom-position, Proc. 29th Annu. Int. Conf. of the IEEEEMBS (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 usingloadcell-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 monitoringpulse rate, respiration rhythm, and body movement inbed, 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 monitor-ing of human vital signs by a non-contact respirationand 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, andT. Sato, Unrestrained and non-invasive monitoring ofhuman’s respiration and posture in sleep using pres-sure 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,Developmentof rubber-based flexible sensor sheet for care-relatedapparatus, SEI Technical Review, 75, 2012, 125-131.
  10. [10] R. Cork, XSENSOR technology: a pressure imagingoverview, 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 us-ing a flexible tactile sensor sheet on a bed, Proc.11th IASTED Int. Conf. on Biomedical Engineer-ing (BioMed2014), Zurich, Switzerland, 2014 (Ac-cepted).
  12. [12] N. Cristianini and J. Shawe-Taylor, An Introductionto support vector machines and other kernel-basedlearning methods (Cambridge, UK; Cambridge Uni-versity Press, 2000).
  13. [13] Q. Le, M.A. Ranzato, R. Monga, M. Devin, J. Chen,G. Corrado, J. Dean, and A. Ng, Building high-level features using large scale unsupervised learn-ing, 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 gen-eralization of on-line learning and an application toboosting, Journal of Computer and System Science,55, 1997, 119-139.
  16. [16] J. Zhu, H. Zou, S. Rosset, and T. Hastie, Multi-classAdaBoost, Statistics and its Interface, 2, 2009, 349-360.

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