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  • 學位論文

即時擷取與分析生醫信號之可攜式記錄器:肌電圖之應用

Portable device for real-time acquisition and processing of biopotential signals : for EMG application

指導教授 : 趙福杉

摘要


隨著人口之高齡化,居家照顧之需求也導致了各式可攜式醫療裝置之廣泛使用,其中一項重要的商品便是生理信號記錄器,如心電圖、腦電圖及胃電圖等可攜式記錄器。本研究之目的便是設計一可攜式肌電圖記錄器,因肌電圖之變化相較於其它生理信號來得快速,適用於其它生理信號的記錄器並不適用於肌電圖的即時記錄,本肌電圖記錄器主要由三個部分組成:一為放大器及濾波器單元,第二部分主要以單晶片微控制器PIC18F8720來完成,記憶體則選擇隨機存取記憶體(SRAM)才能作即時的儲存,第三部分則待離線時再利用RS-232序列電路傳輸至主機作進一步之信號顯示與分析。所完成的記錄器已成左熄q取到肌電圖信號,且其大小也在200 g以內,記錄器之工作電流為12.762 mA,但在閒置時靜態電流則降為2.47 mA已符合省電可攜式的目標。

並列摘要


Since the population in Taiwan is aging, the requirement for medical care is increasing; hence, portable recorders for biomedical signals are widespreadly used (for example, Portable EEG recorder, Portable ECG recorder, and Portable EGG recorder, etc.). A portable EMG recorder is proposed in this thesis. Because EMG signals change more rapidly than other biopotential signals, recorders for other purposes can hardly satisfy the requirement for EMG recording. The portable EMG recorder composes of three parts. The first one is an amplifier and filter circuit. The second one is the microcontroller and memory portion. The microcontroller, PIC18F8720, which is used in this project, has enough I/O pins for linear mapping of the address space of the memory. The sampled data is then permanently stored in SRAM for off-line transmission via a RS-232 transmission port (the third portion) to the host computer for later signal display and analysis. This device can function properly. The total supply current for this device in work is 12.762 mA, while in idle mode of operation it is decreased to 2.47 mA. Thus, the device can be used for portable applications.

並列關鍵字

Portable device EMG

參考文獻


3.胡威志,張志雄,徐良育,’’利用個人數位助理的平行埠之生理訊號擷取系統,’’中華民國九十年生物醫學工程科技研討會。
4.吳丕均,杜翌群,徐良育,’’可攜式即時心率變異度監視系統,’’中華民國九十一年生物醫學工程科技研討會。
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14. Anonymous, ’’PIC16F87X DATA SHEET,’’ 2001

被引用紀錄


洪邦祥(2012)。以肌電訊號辨識之電子手研發〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2012.00138
林均祺(2010)。形狀記憶合金驅動之電子手研發〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2010.00202
林冠宏(2011)。基於即時處理與FPGA實現之神經義肢驅動系統〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2011.10835

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