以嵌入式系統晶片實現脈搏生理訊號監測系統

Implementing Pulse Physiology Signal Monitoring System Using Embedded System Chip

黃加孟(Chia Meng Huang)

指導教授 ： 洪欽銘

國立臺灣師範大學/科技學院/工業教育學系/碩士(2006年)

摘要

摘要

醫學技術的提升雖得以治療更多疾病使得社會平均壽命提升，但也產生一些由於年齡老化而衍生的疾病及問題。在過去，死亡原因主要為意外事故及傳染病，但目前已趨向於慢性疾病。由於慢性疾病平時不易觀察，在醫療的療程上也需花費較多的時間，因此為了減少醫療上的資源消耗及往返醫療院所所需花費時間，目前已有越來越多國內外學者投入在居家照護領域。
在以往的居家照護設備其特色為體積龐大不易攜帶，但在積體電路製程技術的成熟下，這些龐大的照護設備所造成的不便已慢慢獲得解決。嵌入式系統晶片近幾年來發展相當迅速，由於其可內嵌作業系統之特性，使得以設計人性化之相關應用程式以方便使用者操作，同時在擴展上亦相當的便利。因此，本研究以嵌入式系統晶片作為本研究開發系統上之核心。
資料探勘技術近年來發展迅速，應用資料探勘的技術，可從龐大的資料數據當中，找出可能有助於決策判斷之資訊，目前已應用於許多領域之中。研究指出，人體生理訊號會反映出人體生理概況，因此經由長期的收集人體生理訊號資料，並加以分析，相信可找出引起疾病之病徵，如：生理訊號之變化情形或者生理訊號間之互動關係，做為醫護人員醫療判斷參考更甚者預測用。
本研究係發展一套可監測人體脈搏訊號之系統，並以資料探勘技術針對所量測到之訊號加以分析。系統整體包含脈搏生理訊號量測電路、嵌入式系統發展平台應用程式設計、脈搏生理訊號顯示頁面設計及脈搏生理訊號相似度演算法設計…等。本研究之研究成果為：經由量測電路所得到之脈搏訊號，透過無線網路傳輸至遠端伺服器之中，所量測之人體脈搏生理訊號圖形及心跳頻率，可動態即時更新顯示於網頁上，目的以使遠處的醫護端可經由網頁為量測者做即時的診斷。最後於遠端伺服器之中，開發一可處理連續資料之脈搏訊號相似度演算法，以比對具有疾病之脈搏與受測者脈搏訊號間之相似度，做為醫療判斷之參考。

關鍵字：居家照護、積體電路、嵌入式系統晶片、作業系統、應用程式、相似度演算法

關鍵字

居家照護 ； 積體電路 ； 嵌入式系統晶片 ； 作業系統 ； 應用程式 ； 相似度演算法

並列摘要

Abstract

With the promoting of medical technology, average age of humans is gradually extended due to better medical treatment for diseases. However, this promotion and the fast changes of social environment lead to more and more elderly who live alone. Therefore, the main factor of death has gradually changed as the chronic diseases. Troublesome diagnosis of chronic ailments leads to more time consuming in medical treatment. In order to reduce the medical resource consumption and journey to and fro hospital, there are more and more scholars devoted themselves to home healthcare field.
Considering most of the home healthcare equipments were too big to carry along in the past, but the growth process of making integrated circuit technology had gradually solved the inconvenience. Lately, the embedded system chip developed very fast due to the promotion of IC manufacture techniques. Since the embedded system chip can embed a small scale operation system, it helpful to develop any applications on the system chip. Therefore the research is proposed the idea of implementing pulse biomedical signal monitoring system using embedded system chip.
The development of data mining techniques had greatly advanced recently. By applying data mining techniques utilized various regions, it’s helpful to acquire useful information from enormous data while making decision. According to the research reports, the physiology signals convey some useful information about individual physiology states. Thus we believe that data mining techniques can analysis the data of physiology signals collected for a long time and we will obtain the symptoms of diseases such as the tendency of variation of physiology signals.
The entire research includes the circuit of measuring pulse biomedical signal、designing application program based on embedded system development platform、web design for showing the pulse physiology signals and pulse physiology signal of similarity algorithm…etc. The results of research show the pulse physiology signals from measurement circuit transmit to remote server by the wireless devices. Moreover, for remote diagnosis the pulse physiology signals measured show in the webpage and update immediately. In the end, to compare the differences between tester and abnormal pulse for the references of medical judgment, we develop a similarity algorithm for conducting continuous data in the remote server.
Keyword：Home healthcare、Integrated circuit、Embedded system chip、Operation System、Application program、Similarity algorithm

並列關鍵字

Home healthcare ； Integrated circuit ； Embedded system chip ； Operation System ； Application program ； Similarity algorithm

參考文獻

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