本研究主要是使用本實驗室學長以流動型觸媒化學氣相法合成的奈米碳管塊，並且，結合指叉式電極的設計，去製備出高靈敏度壓阻式壓力感測器來量測人體細微運動和監測人體生理訊號像是脈搏訊號等等。
首先，將矽橡膠溶解在四氫呋喃(THF)中，並以噴塗法噴出厚度約為0.1 mm的SR薄膜。接著利用雷射切割機切割出指叉式圖案的壓克力模具，然後，以超音波分散法將奈米碳管分散於矽橡膠溶液中，藉由上述圖案遮片在SR薄膜上噴塗出指叉式圖案作為電極使用。利用雷射切割機切出中空模具並以噴塗法噴塗矽橡膠形成感測器的封裝層，最後，將其組裝成感測器。感測器其傳感機制是由於奈米碳管塊屬於超低密度、多孔材料，在微小的壓力下，奈米碳管塊與CNT/SR電極之間接觸面積增加，導電路徑變多，造成感測器電阻下降。
本研究所製備出的感測器，最小重量的偵測極限可以低至16.1毫克，此數據代表著感測器能夠感測到比米粒(約20毫克)還要輕的重量。其最小偵測壓力極限為0.8 Pa，且具有良好的靈敏度，在0.8~54 Pa的壓力範圍下，感測器最大靈敏度達到15.9 kPa-1。而感測器在人體運動訊號這方面，能夠量測人體點頭、偵測手臂肌肉拉伸以及藉由手指與手腕之間肌肉連接的關係，進而，在手腕上感測到各手指進行往上翹動作時所造成的電阻變化。在感測人體生理訊號這部分，感測器可以量測到脈搏訊號，並且，與標準脈搏圖比較，感測器清楚地展示了脈搏的特徵波形。然後，將感測器黏貼於心臟跳動處，來觀察因心跳所引起胸腔表面振動的訊號，感測器在呼吸情況下測試，從數據放大圖中可以觀察到有一個振幅較大的規律訊號，並且，其訊號上有較小的波形產生，將訊號放大後與標準心電圖波形進行比較，可以推論振幅較小的訊號為心率訊號，並且，藉由FFT分析可以觀察到呼吸以及心率訊號的頻率，所以，感測器能夠同時量測到呼吸及心率訊號。藉由受測者憋氣時測試，感測器可以直接量測到心率訊號，並且，從FFT分析中可以觀察到只有心率訊號的頻率，沒有觀察到呼吸訊號的頻率，感測器能夠不用透過信號放大器、濾波器等儀器輔助下即可量測到心率訊號，這在文獻中相當少見。
將感測器進行同時量測心臟與手腕脈搏訊號測試，感測器在受測者呼吸狀況下測試，從數據放大圖中，在心臟訊號的部分，可以觀察到有一個振幅較大的規律訊號，其訊號上有較小的波形產生，藉由將訊號放大後與標準心電圖波形進行比較，推論振幅較小的訊號為心率訊號，並且，藉由FFT分析可以觀察到呼吸以及心率訊號的頻率，代表，感測器在受測者呼吸時測試，可以同時量測到呼吸及心率訊號；在脈搏訊號的部分，感測器黏貼在手腕時，從數據放大圖中可以觀察到脈搏訊號，將訊號放大後與標準脈搏波形圖進行比較，可以觀察到所量測的訊號波形都有對應到脈搏的特徵波形，並且，進行FFT分析有觀察到脈搏訊號的頻率。受測者在憋氣時測試，感測器黏貼在心臟時，可以量測到規律的訊號，並且，將訊號放大與標準心電圖波形進行比較，推論此訊號為心率訊號，並且，透過FFT分析，可以觀察到心率訊號的頻率；感測器黏貼於手腕時，將量測到的訊號放大與標準脈搏波形圖比較，可以觀察到所量測的訊號波形都有對應到脈搏的特徵波形，並且，透過FFT分析可以觀察到脈搏訊號的頻率。在文獻中提到，可以藉由量測心率以及脈搏訊號，計算兩者訊號每分鐘跳動次數差異，可以初步判斷受測者是否有心血管相關的疾病。
除此之外，在憋氣時測試，可以直接觀察到心率及脈搏訊號，藉由計算心臟與脈搏之間的脈搏波速率為476.1 ±17.3 cm/s，與文獻的數據比較後，測試值為正常值，文獻中提到，在累積一定的樣本數後，脈搏波速率可以用來評估是否有動脈硬化的情況。
感測器可以透過簡易的量測可以獲得自己身體健康訊息，在自己身體稍有微恙時，立即的去醫院就醫檢查，減少延誤就醫的機率，感測器在對於人體健康監測這方面具有很大的發展潛力。
關鍵字:奈米碳管、指叉式電極、感測器、監測人體生理訊號。

In this study, we use the carbon nanotube blocks made by the senior in our laboratory. The carbon nanotube blocks synthesized by the flow-catalyst chemical vapor method. We use the design of the interdigitated electrode. We have prepared high sensitivity piezoresistive pressure sensors to measure the subtle movement of the human body.
First, the silicone rubber was dissolved in tetrahydrofuran (THF), and spray a SR film with a thickness of about 0.1 mm by spraying. Next, we use a laser cutting machine to cut out the acrylic mold of the interdigitated pattern. Then, we dispersed the carbon nanotubes in the silicone rubber solution by ultrasonic dispersion method. We use a pattern mask to spray an interdigitated pattern on the SR film as an electrode. We use a laser cutting machine to cut out the hollow mold and spray the silicone rubber to form the package layer of the sensor. Finally, assemble it into a sensor. The sensing mechanism of the sensor is that the carbon nanotube block is an ultra-low density, and porous material. In the small pressure range, the increase of contact area between the carbon nanotube block and the CNT / SR electrode, resulting in more conductive paths, and sensor resistance change.
The minimum weight detection limit of the sensor prepared in this research can be as low as 16.1 mg. This data represents that the sensor can sense lighter weight than rice grains (about 20 mg). The minimum detection pressure limit is 0.8 Pa, and it has good sensitivity. In the pressure range of 0.8 ~ 54 Pa, the maximum sensitivity of the sensor reaches 15.9 kPa-1. In detecting human motion signals, the sensor can measure the nodding of the human, detect the stretching of the arm muscles. In addition, through the muscle connection between the finger and the wrist, the resistance change caused by the upward tilt of each finger is sensed on the wrist. In the part of sensing the physiological signal of the human body, the sensor can measure the pulse signal, and compared with the standard pulse graph, the sensor clearly shows the characteristic peak of the pulse. Then, stick the sensor to the heartbeat to observe the vibration signal on the surface of the chest cavity caused by the heartbeat. In the case of breathing, the sensor can be observed from the enlarged data graph that there is a regular signal with a larger amplitude, and a smaller waveform is generated on the signal. After the signal is amplified and compared with the standard electrocardiogram waveform, it can be inferred that the signal with a smaller amplitude is the heart rate signal, and the frequency of the respiration and the heart rate signal can be observed by FFT analysis, so the sensor can simultaneously measure the respiration and Heart rate signal. Through the test when the subject is holding his breath, the sensor can directly measure the heart rate signal, and from the FFT analysis, only the frequency of the heart rate signal can be observed, but the frequency of the breathing signal is not observed. The sensor can measure the heart rate signal without the aid of signal amplifiers, filters and other instruments, which is quite rare in the literature.
The sensor is used to simultaneously measure the heart and wrist pulse signal test. The sensor is tested under the respiratory condition of the subject. From the data magnification diagram, in the part of the heart signal, a regular signal with larger amplitude can be observed, a smaller waveform is generated on the signal. In addition, the frequency of breathing and heart rate signals can be observed by FFT analysis, which means that the sensor is tested when the subject is breathing, and the breathing and heart rate signals can be measured at the same time.
In the part of the pulse signal, when the sensor is attached to the wrist, the pulse signal can be observed from the data magnification diagram. After the signal is amplified, it is compared with the standard pulse waveform diagram, and the measured signal waveforms can be observed. The characteristic waveform of the pulse, and the frequency of the pulse signal can be observed by FFT analysis.
When the subject is holding his breath, the regular signal can be measured when the sensor is attached to the heart, and the signal is amplified and compared with the standard electrocardiogram waveform. It is deduced that the signal is a heart rate signal, and through FFT analysis, it can be observe the frequency of the heart rate signal when the sensor is attached to the wrist, the measured signal is amplified and compared with the standard pulse waveform graph. It can be observed that the measured signal waveform has a characteristic waveform corresponding to the pulse. FFT analysis can observe the frequency of the pulse signal.
In the literature, by measuring the heart rate and pulse signal, and calculating the difference in the number of beats per minute between the two signals, it is possible to preliminarily determine whether the subject has cardiovascular-related diseases.
In addition, the heart rate and pulse signal can be directly observed during the test while holding the breath. By calculating the pulse wave rate between the heart and the pulse as 476.1 ±17.3 cm/s, the test value is normal after comparing with the data in the literature. Value, mentioned in the literature, after accumulating a certain number of samples, the pulse wave rate can be used to assess whether there is arteriosclerosis.
　　The sensor can obtain information about your health through simple measurement. When your body is slightly ill, you can go to the hospital for medical examination immediately, reducing the probability of delay in seeking medical attention. The sensor is very useful in monitoring human health. Great development potential.
Keywords: Carbon nanotube；Interdigitated electrode；Sensor；Monitoring of human physiological signal

誌謝 I
摘要 III
Abstract VI
目錄 XI
圖目錄 XIII
表目錄 XVIII
第一章 介紹 1
第二章 實驗儀器與方法 9
2-1實驗藥品 9
2-2實驗儀器與設備 9
2-3奈米碳管塊基本性質量測方法 10
2-3-1 奈米碳管塊其管長與管徑 10
2-3-2 奈米碳管塊密度 10
2-4製備超靈敏感測器 11
2-4-1 製備底層矽橡膠薄膜 11
2-4-2 製備CNT/SR電極薄膜 11
2-4-3 製備封裝薄膜 12
2-4-4 裁切奈米碳管塊 12
2-4-5 封裝感測器 13
2-5感測器測試時之實驗步驟 13
2-5-1 感測器基本性質測試 13
2-5-2 感測器人體運動訊號測試 15
2-5-3 感測器人體生理訊號測試 16
第三章 結果與討論 18
3-1感測器製備歷程 18
3-2感測器基本性質測試 20
3-3感測器偵測人體運動訊號 24
3-4感測器人體生理訊號監測 27
第四章 結論 39
第五章 未來展望 42
參考文獻 44
圖片說明 56
圖片 60
表格說明 90
表格 91

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