휠체어에서 호흡수와 심박수 측정 및 이벤트 전송
Event Transmission of Respiratory rate and Heart rate Measured on Wheelchair
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참고문헌
키워드
초록
The purpose of this study is to measure both ECG and BCG(Ballistocariograph) signal of a subject on moving or resting wheelchair and detect the heart rate and respiratory rate and transmit an event message to remote server on emergent situation. To acquire ECG and BCG data, amplifier circuits were composed to be suitable for their characteristics. The output signals were converted to digital data and stored in bio-signal archiving media(SD card). CDMA module was used to transmit the event data on ECG electrode detachment and the received data was monitored by the developed C# application program. 5 volunteers participated in the experiment to evaluate the validity of the developed device. When the event occurs in each subject, 48 Kbyte data, stored for 32 seconds from that point, was transmitted to remote server through CDMA cellular phone network correctly. The received data of ECG , BCG, and 3-axial acceleration could be archived in server and the heart rate and respiratory rate could be measured and analyzed. The developed device in this study could acquire the ECG and BCG data of subjects on wheelchair simultaneously and measure their heart rate and respiratory rate. In addition, event data was verified to be transmitted to remote server without any errors.
Abstract
The purpose of this study is to measure both ECG and BCG(Ballistocariograph) signal of a subject on moving or resting wheelchair and detect the heart rate and respiratory rate and transmit an event message to remote server on emergent situation. To acquire ECG and BCG data, amplifier circuits were composed to be suitable for their characteristics. The output signals were converted to digital data and stored in bio-signal archiving media(SD card). CDMA module was used to transmit the event data on ECG electrode detachment and the received data was monitored by the developed C# application program. 5 volunteers participated in the experiment to evaluate the validity of the developed device. When the event occurs in each subject, 48 Kbyte data, stored for 32 seconds from that point, was transmitted to remote server through CDMA cellular phone network correctly. The received data of ECG , BCG, and 3-axial acceleration could be archived in server and the heart rate and respiratory rate could be measured and analyzed. The developed device in this study could acquire the ECG and BCG data of subjects on wheelchair simultaneously and measure their heart rate and respiratory rate. In addition, event data was verified to be transmitted to remote server without any errors.
참고문헌 (14)
- Fensli R, "A wireless ECG system for continuous event recording and communication to a clinical alarm station", Proceedings of the 26th Annual International Conference of the IEEE EMBS 2004, pp.2208~2211 (2004)
- Hernandez AI, "Real-time ECG transmission via internet for nonclinical applications", IEEE Transactions on Biomedical Engineering, 5(3), pp.253~257 (2001)
- Jovanov E, "Stress monitoring using a distributed wireless intelligent sensor system", IEEE Engineering in medicine and biology magazine, 22(3), pp.49~55 (2003)
- Hong JH, "Zigbee based photoplethys-mography", Journal of Korea Intellectual Patent Society, 8(3), pp.31~35 (2006)
- Lee JS, "Human physiology", pp.295~297 (2002), JungDam Publishers
- Hong JH, "Wireless 3 channel ECG monitoring system for ubiquitous healthcare", 학사, pp.2008
- Starr I, "Further clinical studies with the ballistocardiograph on abnormal form, on digitalis action, in thyroid disease, and in coronary heart disease", Transaction of the Association of American Physicians, 59, pp.180~189 (1946)
- Yu X, "Neural networks in ballistocardiography(BCG) using FPGAs", in IEE Colloquium on Software Support and CAD Techniques for FPGAs, pp.71~75 (1994)
- Baker BM, "Coronary artery disease studied by ballistocardiography:a comparison of abnormal ballistocardiograms and electrocardiograms", Trans- actions of the American Clinical and Climatological Association, 62, pp.191~ (1950)
- Kim JM, "Two algorithms for detecting respiratory rate from ECG signal", Proc. of World Congress on Medical Physics and Biomedical Engineering, pp.54~ (2006)
- 정동근, "광전용적맥파를 이용한 요골동맥 맥파 검출", 생명과학회지, 13(1), pp.42~46 (2003), 한국생명과학회
- Non-contact monitoring of breathing function using infrared imaging, "Murthy R", Technical Report UH-CS-05 -09, Computer Science Department. University of Houston, ~ (2005)
- Lee IK, "Tidal volume estimation by wireless respiration monitor with belt-type transducer in patient’s pants", in Proc. of The Korea Society of Medical &Biological Engineering Conference, pp.14~17 (2007)
- Caggiano D, "Respiration derived from electrocar- diogram: a quantitative comparison of three different methods", Proc. of the IEEE twenty-second annual international conference, pp.103~104 (1996)