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http://dx.doi.org/10.9708/jksci.2014.19.11.033

Implementation of a Respiration Measurement System Based on a Nonrestraint Approach  

Cho, Seok-Hyang (Division of General Education, Pyeongtaek University)
Cho, Seung-Ho (Division of Computer and Media Information Engineering, Kangnam University)
Abstract
In this paper, we implemented a system to measure respiration rate with nonrestraint sensors comfortable for people to do their everyday life. The proposed system consists of a pad covered with a Piezoelectric sensor, a respiration measuring device able to send the signal data after amplifying and filtering the source signals to the viewer, a viewer providing sensor data visualization and implementing the respiration measuring algorithm. The algorithm is based on a breathing cycle with the local peak points extracted from threshold on sensor data. Respiration measurements on 3 subjects were performed by changing moving averages and thresholds. The proposed system showed less than 5% error rate when proper moving averages are N=50~60 and a range of thresholds is 800~1300. The system will contribute to preventing suffocation during sleep for infants and the elderly living alone.
Keywords
Respiration; Nonrestraint method; Piezoelectric sensor; Signal processing; u-healthcare;
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1 http://www.doopedia.co.kr, asphyxia, 2014.
2 Xin Zhu, Wenxi Chen, Tetsu Nemoto, Kei-ichiro Kitamura, and Daming Wei, "Analysis of Pulse Rate, Respiration Rhythm, and Body Movement during Sleep Detected by Pressure Sensor", The 2nd International Symposium on Aware Computing(ISAC), pp. 213-219, Nov. 2010.
3 http://kostat.go.kr, "Cause of Death Statistics 2012", pp. 19, 25 Sep. 2013.
4 Youngjoon Chee and Kwangsuk Park, "The Current Status and Future Prospects of Unconstrained Measurement Technology for Biosignals", The Magazine of the IEEK, Vol. 32, No. 12, pp. 56-68, Dec. 2005.
5 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", The 33rd Annual International Conference of the IEEE EMBC (Engineering in Medicine International Biology Society), pp. 5323-5326, Sep. 2011.
6 Ji-Young Cha, Hyun-Seok Choi, Jae-Yeon Shin, and Kyoung-Joung Lee, "Unconstrained Respiration and Heart Rate Monitoring System Based on a PPG Pillow during Sleep", The 30th Annual International IEEE EMBS Conference, pp. 3224-3226, Aug. 2008.
7 T. Reinvuo, M. Hannula, H. Sorvoja, E. Alasaarela, and R. Myllyla, "Measurement of Respiratory Rate with high-Resolution Accelerometer and EMFit Pressure Sensor", SAS'06, IEEE Sensors Applications Symposium, pp. 192-195, Feb. 2006.
8 J. Alametsa, A. Varri, M. Koivuluoma, and L. Barna, "The Potential of EMFi Sensors in Heart Activity Monitoring", The 2nd OpenECG Workshop "Integration of the ECG into the EHR & Interoperability of ECG Device Systems", Apr. 2004.
9 H. Saito, M. Nishimura, E. Shibuya, H. Makita, I. Tsujino, K. Miyamoto, and Y. Kawakami, "Tissue Hypoxia in Sleep Apnea Syndrome Assessed by Uric Acid and Adenosine," Chest, Vol. 122, No. 5, pp. 1686-1694, 2002.   DOI   ScienceOn
10 EMFIT, http://www.emfit.com/
11 Hyun Hoo Kim, Byung Hoon Kim, Jae Young Lee, et al., "Sensor Technology and Semiconductor Display Engineering", Naeha Publisher, pp. 36-38, 2009.
12 Interlink Electronics, http://www.interlinkelectronics.com/FSR408.php
13 S. Butterworth, "On the Theory of Filter Amplifiers", In Experimental Wireless & the Wireless Engineer, Vol. 7, pp. 536-541, Oct. 1930.
14 Texas Instruments, http://www.ti.com/product/lm358
15 Ya-lun Chou, "Statistical Analysis", Holt International, section 17.9, 1975.
16 Texas Instruments, http://www.ti.com/lsds/ti/microcontrollers_16-bit_32-bit/c2000_performance/control_automation/tm4c12x/products.page
17 ARM Inc and ARM Germany GmbH, http://www.keil.com/arm/mdk.asp