居家照護－生理訊號傳輸與追蹤系統

Bio-Signal Transmitting and Tracking System for Nursing in House

10.29688/MHJ.201102.0004

鐘啟仁(Chii-Jen Chung)；莊弘彬(Hung-Pin Chuang)；楊子其(Tzu-Chi Yang)

生理訊號 ； 衛星定位 ； 醫療監控系統 ； Bio-Signals ； GPS ； Hospital surveillance system

明新學報

37卷1期（2011 / 02 / 01）

47 - 56

繁體中文

自1993年以來，台灣地區逐漸進入高齡化社會，人口老化問題引發了新的醫療議題，慢性病醫療以及長期照護的需求大幅度增加，因此居家看護系統即成為未來醫療保健中重要一角。本論文研究可長期連續進行心電訊號以及血壓信號等生理訊號之追蹤、記錄、分析；當偵測到的生理訊號值異常時，將以全球衛星定位系統GPS將病人的所在位置利用GPRS Modem傳送到醫院的醫療監控系統，而醫院將在最短時間內，透過政府醫療救護系統派遣醫護人員到達現場，緊急救護，挽救病人生命。本研究成果預計可在老人居家看護系統中備受矚目。

Since 1993, Taiwan has entered an era of elderly society. Rapid aging population has caused new medical problems. Chronic illness medication and long-term nursing demands have increased dramatically. Therefore the in-house nursing system will be an important theme on medical service in the future. This system may continuously carry on tracing, recording, and analyzing Electrical Bio-Signals in a long term, as well as Electrocardiogram (ECG) and blood pressure signal. While detecting abnormal values, it can be tracked with GPS and send the patient's located position by GPRS modem to the hospital surveillance system. For the hospital, by the shortest period of time, the medical professionals will dispatched to the scene by the government medical aiding system and save the patient's life. This research may play an important role in the elderly nursing medication system.

1. Wavecom website, Open AT Software. (http://www.wavecom.com/modules/movie/scenes/products/index.php?fuseAction=downloads&productName=New_Q24_Series)
2. 生訊科技股份有限公司網頁(http://www.biosenseteck.com/Cindex.html)
3. Edan Instruments, Inc website (http://www.edan.com.cn/Catalog_146.aspx?PID=67)
4. 麗臺科技網頁，崁入式平台PXA310 datasheet (http://www.leadtek.com.tw/cht/platform_solution/overview.asp?lineid=25&pronameid=494&check=f)
5. Silicon Labs wecsite (http://www.silabs.com/products/mcu/mixed-signalmcu/Pages/C8051F35x.aspx)
6. 維基百科全書網頁(http://en.wikipedia.org/wiki/Electrocardiography)
7. Hyvärinene, A.,Karhunen, J.,Oja, E.(2001).Independent Component Analysis.New York:John Wiley.
8. Hyvarinene, A.,Oja, E.(2000).Independent Component Analysis.Algorithms and Applications Neural Networks,13(1),411-430.
9. Lathauwer, L. De.,Moor, B. De.,Vandewalle, J.(2000).Fetal Electrocardiogram Extraction by Blind Source Subspace Separation.IEEE Transactions on Biomedical Engineering,47(5),567-572.
10. Lee, T. W.,Lewicki, M. S.,Sejnowski, T. J.(2000).ICA mixture models for unsupervised classification of non-gaussian classes and automatic context switching in blind signal separation.IEEE Trans, Pattern Analysis and Machine Intelligence,22,1078-1089.
11. Usman, K.,Sadiq, M. A.,Juzoji, H.,Nakajima, I.(2004).A Study of Heartbeat Sound Separation Using Independent Component Analysis Technique.IEEE 6th International Workshop on
12. Vigário, R.,Särelä, J.,Jousmäki, V.,Hämäläinen, M.,Oja, E.(2000).Independent Component Approach to the Analysis of EEG and MEG Recording.IEEE Transactions on Biomedical Engineering,47(5),589-593.
13. Yates, Roy D.,Goodman, David J.(1999).PROBABILITY AND STOCHASTIC PROCESS.New York:John Wiley.
14. 吳瑞芳、黃國勝(2004)。碩士論文(碩士論文)。嘉義縣，國立中正大學機電光工程系研究所。
15. 柯錫卿、阮金聲、古政元(2004)。碩士論文(碩士論文)。嘉義縣，國立中正大學資訊管理學工程系研究所。

1. 周宇翔,王舒芸(2020)。監視科技的雙元本質：增能？限制？紅外線熱感應影像裝置應用於高齡照顧之經驗初探研究。臺灣社會福利學刊，16(1)，1-52。