| 摘要(英) |
This study used a three-axis accelerometer combined with single-chip and flash memory for multivariate real-time 3D data. The three-axis accelerometer uses the piezoelectric principle to sense the acceleration or angular acceleration in kinematics and express the measured value in terms of output voltage also widely used in engineering applications. In the future, all physiological signals can be recorded and connected to the cloud through the Internet of Things (IOT)and combined with a computer or other portable device.
Because of the development and popularity of Micro Electro Mechanical Systems (MEMS), many of the original large-sized parts are getting smaller and smaller with the MEMS process. Production costs continue to decrease as technology and time evolve, enough to mass produce parts, and to the market at an acceptable price, providing commercial components. The aforementioned three-axis accelerometer is one of the requirements for combining MEMS technology to achieve small size and low price. In addition, the magnetic field sensor (Compass, Magnetic Field) and the tilt sensor (Orientation) are also common MEMS products, and the range of applications is increasing.
The aforementioned MEMS technology can integrate a rice-sized sensor into a wearable device, and through different algorithms and wearing methods, calculate different acceleration values caused by different postures, and measure a plurality of physiological signal. Such as activity records, fall detection, pedometer, sedentary detection, heartbeat and respiratory detection, and sleep analysis. However, the calculation method and sampling frequency required for different signal measurements will also be different. For example, a pedometer sampling frequency of 10 Hz is sufficient to calculate and obtain a corresponding number of steps in a walking or running state. Generally, the measurement of heart rate and breathing needs to be measured through hospital equipment, and the two signal frequencies often overlap each other. Therefore, this study will be a breakthrough development of a wearable device combined with a three-axis accelerometer to measure physiological signals. Because the three-axis accelerometers module currently on the market are less sensitive to weak vibration sensing, this study needs to use signal processing by software and firmware to extract weak heart rhythm vibrations and respiratory signals as signals for subsequent physiological feature detection.
There are many studies that indicate that the three-axis acceleration measurement user motion signal is less restrictive than the measurement position, and does not require the electrode to be close to the skin. It is more convenient in practice and has greater design flexibility. The purpose of this study is to record and analyze user motion and physiological signals through a three-axis accelerometer wearable device, which can be used to determine the intensity of activity and physiological state, and then to analyze the pattern of personal life.
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| 參考文獻 |
﹝1﹞ 衛生福利部106年國人死因統計結果。2017年6月15日，取自https://www.mohw.gov.tw/cp-3795-41794-1.html。
﹝2﹞ 國家發展為委員會人力推估。2018年8月30日，取自https://pop-proj.ndc.gov.tw/download.aspx?uid=70&pid=70。
﹝3﹞ Mojtaba Jafari Tadi, Tero Koivisto, Mikko Pänkäälä, and Ari Paasio, “Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging”, Hindawi Publishing Corporation International Journal of Biomedical Imaging, Vol 2014, Article ID 690124, 11 pages, July 2014
﹝4﹞ Chenxi Yang , Student Member, IEEE, and Negar Tavassolian, “Combined Seismo- and Gyro-Cardiography: A More Comprehensive Evaluation of Heart-Induced Chest Vibrations”, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol 22, pp. 1466 - 1475, September 2018
﹝5﹞ Crow, R.S., Hannan P., Jacobs D., Hedquist L., Salerno D.M., “Relationship between Seismocardiogram andEchocardiogram for Events in the Cardiac Cycle” Am. J. Noninvasive Cardiol. 39–46, August 1994
﹝6﹞ Amirtaha Taebi, and Hansen A. Mansy, “Time-frequency Analysis of Vibrocardiographic Signals”, In Proceedings of the 2015BMES Annual Meeting, Tampa, FL, USA, October 2015.
﹝7﹞ Toshiyo Tamura, Takumi Yoshimura, Masaki Sekine, Mitsuo Uchida, and Osamu Tanaka, “A Wearable Airbag to Prevent Fall Injuries”, IEEE Transactions on Information Technology in Biomedicine, Vol 13, pp. 910 – 914, November 2009
﹝8﹞ Strong WB, Malina RM, Blimkie CJ, Daniels SR, Dishman RK , Gutin B, Hergenroeder AC, Must A, Nixon PA, Pivarnik JM, Rowland T, Trost S, Trudeau F., “Evidence based physical activity for school-age youth”, The Journal of Pediatrics, pp. 732–737, June 2005
﹝9﹞ Richard M. Pulsford, Mario Cortina-Borja, Carly Rich, Florence-Emilie Kinnafick, Carol Dezateux, Lucy J. Griffiths, “Actigraph Accelerometer-Defined Boundaries for Sedentary Behaviour and Physical Activity Intensities in 7 Year Old Children”, PLoS ONE, Volume 6, August 2011
﹝10﹞ D.F. Kripkeab, D.J. Mullaney, S. Messin, V.G. Wyborney, “Wrist actigraphic measures of sleep and rhythmsMesures actigraphiques du poignet au cours du sommeil et rythmes”, Electroencephalography and Clinical Neurophysiology, Vol 44, pp. 674-676, May 1978
﹝11﹞ Isaac Starr, A. J. Rawson, H. A. Schroeder, and N. R. Joseph, “Studies on the estimation of cardiac output in man, and of abnormalities in cardiac function, from the heart′s recoil and the blood′s impacts; The ballistocardiogram” The American Journal of Physiology, Vol 127, pp. 1-28, July 1939
﹝12﹞ Keya Pandia, Omer T Inan, Gregory T A Kovacs and Laurent Giovangrandi, “Extracting respiratory information from seismocardiogram signals acquired on the chest using a miniature accelerometer”, Physiological Measurement, Volume 33, pp. 1643–1660, September 2012
﹝13﹞ P. Bifulco, GD Gargiulo, G d’Angelo, A. Liccardo, M Romano, F Clemente, M Cesarelli, “Monitoring of respiration, seismocardiogram and heart sounds by a PVDF piezo film sensor”, Electric and Electronic Measurement for the Economic Upturn Benevento, pp. 786–789, September 2014
﹝14﹞ Omer T. Inan, Pierre-Francois Migeotte, Kwang-Suk Park, Mozziyar Etemadi, Kouhyar Tavakolian, Ramon Casanella, John Zanetti, Jens Tank, Irina Funtova, G. Kim Prisk and Marco Di Rienzo, “Ballistocardiography and Seismocardiography: A Review of Recent Advances”, IEEE Journal of Biomedical and Health Informatics, Vol 19, pp. 1414 - 1427, July 2015
﹝15﹞ Mojtaba Jafari Tadi, Tero Koivisto, Mikko Pänkäälä, Ari Paasio, Timo Knuutila, Mika Teräs, Pekka Hänninen, “A new algorithmfor segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography”, International Conference on Graphic and Image Processing, Vol 9443, 24–26, October 2015
﹝16﹞ AmirtahàTaebi, Brian E. Solar, Andrew J. Bomar, Richard H. Sandler and Hansen A. Mansy, “Recent Advances in Seismocardiography”, International Journal of Molecular Sciences, pp. 64–86, January 2019
﹝17﹞ 資料來源：維基百科，取自https://en.wikipedia.org/wiki/Digital_signal_processing
﹝18﹞ 資料來源：維基百科，取自https://en.wikipedia.org/wiki/Analog-to-digital_converter
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