有鑑於腦血管疾病所造成的腦部傷害為台灣主要死因，其中腦部外傷是造成腦部傷害的重要原因之一，而腦部創傷常引發感染，進而導致發燒。有鑑於此，本研究的主要目的為利用紅外光技術建構一套以長時間核心溫與血氧濃度為基礎的非侵入式生理參數量測系統，並利用此系統實際量測長期臥床腦中風患者生理參數狀態，並結合智慧型手機作長時間監測，作為快速診斷評估與居家照護的工具。本系統主要架構可分為兩個部份：第一部份為核心溫度部份，利用非侵入式偵測耳膜紅外光訊號，並利用數位補償方式減少環境溫度的影響；第二部份為血氧濃度部份，利用調變方式交替發射發光電路，二大部分皆整合於微控制器(PIC24F)，並透過藍芽模組，將生理訊號傳送到智慧型手機上。智慧型手機的即時訊號顯示、儲存的生理參數變化，並在參數持續異常時，經由手機撥號或簡訊緊急通知醫護人員，以達到即時救護的功能。最後將本系統與護理中心進行量測合作，實際量測腦中風患者核心溫度和耳垂血氧濃度，並與正常受測者作比較，結果也顯示本研究所開發的紅外光技術量測系統可作為腦傷害患者的長期監控與居家照護工具。

Cerebrovascular attack (CVA) has been a common symptom in many brain injury diseases. And brain injury is often caused by infection, leading to fever. The aim of this study is to develop a long-term physiological monitoring system in brain injury. Physiological parameters include core temperature and (SpO2) which are monitored.
The system architecture can be divided into two main parts: The first part is core temperature, using infrared techniques to detect eardrum’s temperature. A digital compensation method is used to overcome the effect of ambient temperature. The second part is arterial oxyhemoglobin saturation (SpO2), using modulation to design the emitter circuit. The two parts all are integrated in microcontroller (PIC24F) to acquire the physiological signals and then transmit them to the smart phone with Bluetooth wireless technology. The acquired signals and waveform are displayed in real time on a screen and saved for further analysis. Furthermore, when the physiological signal is abnormal, this smart phone will send a warning phone call or message to medical personnel automatically. Finally, the system is performed the nursing home to check system validity. The results also indicated that the infrared-based measurement system in this study could be a tool for long-term monitoring at the nursing home or home-care.

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