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Human health monitoring system of systems with fuzzy logic by sensor network | IEEE Conference Publication | IEEE Xplore

Human health monitoring system of systems with fuzzy logic by sensor network


Abstract:

This paper describes a human health monitoring system by an ultrasonic sensor and an mat sensor systems. The system is realized with constrain-free, low cost and bed-side...Show More

Abstract:

This paper describes a human health monitoring system by an ultrasonic sensor and an mat sensor systems. The system is realized with constrain-free, low cost and bed-side usage applicable. In it the ultrasonic sensor system obtains the state of a patient in bed by placing it under a bed frame. The mat sensor system detects heart beats and respiration signals by placing it to the mattress on the bed. This means that we can measure autonomic nerve system by using the heart rate and contribute the diagnosis of sleep apnea. This system employs fuzzy logic techniques to detect them. Thus, the system of systems with fuzzy logic can noninvasively and unconsciously provide human health information with high accuracy.
Date of Conference: 30 March 2009 - 02 April 2009
Date Added to IEEE Xplore: 15 May 2009
Print ISBN:978-1-4244-2753-6
Conference Location: Nashville, TN, USA
References is not available for this document.

I. Introduction

GENERALLY conventional health monitoring system such as electrocardiographs and electroencephalographs constrain patients to measure the bio-signals. A constrain-free health monitoring system is essential for patients because the patients do not like attached sensors to their body and nurses/doctors do not have to concern themselves with the input sensor being detached. A number of health monitoring sensors for humans in bed have been developed [1]–[5]. In these, they employ one sensor to detect necessary signals with constrain-free. In our study, we attempt to detect three biological information by the sensor network. One is an ultrasonic sensor[6]. The ultrasonic sensor system has a cylindrical tank of 26mm (diameter) x 10mm (height) filled with water and an ultrasonic probe. It detects the vibration of a patient by obtaining echo signals reflected from the water surface. This sensor can noninvasively detect vibration of the patient by placing it under the frame of any bed with vibrations of 10Hz or less in the direction of all three axes. We propose a recognition system for humans by this sensor. It recognizes one of conditions; empty and wake or sleeping in bed. The other one is mat sensor to monitor heart rate [7] [8][9] [10]. The mat sensor is composed of a rubber tube inserted in a mat and an air pressure sensor. The air pressure sensor detects the air pressure change of vital information of a patient. We describe the system for detecting the heart beat. The heart beat shows an automatic nervous system activity [11], and its rate is an important parameter to influence a blood pressure change and a temperature control and so on. In addition, it can detect respiration signal. It is closely related to sleep apnea.

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1.
J. Mateo and P. Laguna, "Analysis of Heart Rate Variability in the Presence of Ectopic Beats Using the Heart Timing Signal," IEEE Trans. on Biomedical Engineering, vol. 50, no. 3, pp.334 - 343, 2003. (Pubitemid 36331675)
2.
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," Journal of the Robotics Society of Japan, vol. 6, no. 5, pp. 705-711, 1998.
3.
H. Watanabe and K. Watanabe, "Non-Invasive Sensing of Cardiobilistram, Respiration, Snoring, Body Movement and Coughing of a Patient on the Bed," The Society of Instrument and Control Engineers, vol. 35, no. 8, pp. 1012-1019, 1999.
4.
N. A. Fox, C. Heneghan, M. Gonzalez, R. Shouldice, P. de Chazal, "An Evaluation of a Non-contact Biomotion Sensor with Actimetry", Proc. 29th IEEE EMBS Conference, 1, pp.2664-2668. Aug 2007.
5.
P. de Chazal, E. O'Hare, N. Fox, C. Heneghan, "Assessment of sleep/wake patterns using a non-contact biomotion sensor", Proc. 30th IEEE EMBS Conf. pp.514-517, Aug 2008.
6.
Y. Kamozaki, T. Sawayama, K. Taniguchi, S. Kobashi, K. Kondo, and Y. Hata, "A New Ultrasonic Oscillosensor and Its Application in Biological Information Measurement System Aided by Fuzzy Theory," IEICE Trans. on Inf and Sys., Vol. E90-D, No. 11, pp. 1864-1872, 2007.
7.
Y, Kamozaki, T. Sawayama, K. Taniguchi, S. Kobashi, K. Kondo and Y. Hata, "Fuzzy Extraction System for Heart Pulse by Air Pressure Sensor," Proc. of 2006 International Symposium on Intelligent Signal Processing and Communication Systems, pp. 919-922, Dec. 2006.
8.
Y. Hata, Y. Kamozaki, T. Sawayama, K. Taniguchi, and H. Nakajima, "A Heart Pulse Monitoring System by Air Pressure and Ultrasonic Sensor Systems," Proc. of IEEE System of Systems Engineering, CD-ROM, 2007.
9.
H. Yamaguchi, H. Nakajima, K. Taniguchi, S. Kobashi, K. Kondo, and Y. Hata, "Fuzzy Detection System of Behavior before Getting out of Bed by Air Pressure and Ultrasonic Sensors," Proc. the 2007 IEEE International Conference on Granular Computing, pp. 114-119, 2007.
10.
Y. Hata, H. Yamaguchi, S. Kobashi, K. Taniguchi, and H. Nakajima, "A Human Health Monitoring System of Systems in Bed," Proc. of IEEE third Int. Conf. on System of Systems Engineering, CDROM, 2008.
11.
R. I. Kitney and O. Rompelman, The Study of Heart-Rate Variability, Clarendon Press, Oxford Press, 1980
12.
K. Sugano, K. Kondo, S. Kobashi, Y. Hata, T. Sawayama, and K. Taniguchi, "A New Ultrasonic Oscillosenser and Its Application to Recognition of Human Action," Proc. 1st Int. Conf. on Information Technology & Application, CDROM, 2002
13.
K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, K. Taniguchi, and T. Sawayama, "Unconstrained Evaluation System for Heart Rate Using Ultrasonic Vibrograph," Japanese Journal of Applied Physics, vol. 43, no. 5B, pp. 3237-3238, 2004.
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References

References is not available for this document.