頁籤選單縮合
題名 | Monitoring Apnea in the Elderly by an Electromechanical System with a Carbon Nanotube-based Sensor |
---|---|
作 者 | Liu, Hung-chang; Chen, Yu-jen; Lu, Ying-chen; Wu, Chien-liang; Huang, Wen-chieh; Huang, Jung-tang; | 書刊名 | International Journal of Gerontology |
卷期 | 7:3 2013.09[民102.09] |
頁次 | 頁147-151 |
分類號 | 471.3 |
關鍵詞 | Apnea; Breath sensor; Carbon nanotubes; Sensors; |
語文 | 英文(English) |
英文摘要 | Background: Breathing, a part of respiration, is one of the vital functions. Breathing disorders are common in the elderly. An effective breathing sensor for real-time detection of apnea is important in clinical critical care. We aimed to construct a real-time warning platform with a combination of carbon nanotubes (CNTs) and related nano-electromechanical system (NEMS) for elderly care. Methods: Through a specific acid-treated procedure, multiwalled carbon nanotubes (MWCNTs) were immobilized on a thin silicon dioxide (SiO2) film, coated on a heated silicon wafer. Techniques of photolithography and sputtering with chromium and gold were then implemented on the MWCNT film to develop micro-interdigitated electrodes as a base for the breathing sensor. The sensor was equipped with a programmed microchip processor to become a warning detector for abnormal human breathing, namely less than six breaths per minute. Elderly volunteers were enrolled for examining the effective sensitivity of this novel electromechanical device. Results: There were 15 elderly volunteers (9 males and 6 females) tested in this experiment. The dynamic analyses of the MWCNT sensor to exhaled breath showed that it had characteristics of rapid response, high aspect ratio, small tip ratio, and high electrical conductivity. Responses of the MWCNT sensor to exhaled breath was recorded according to different performance parameters, i.e., strength, frequency, flow rate, and breath components. In this study, variable pattern-simulated tests showed that a MWCNT sensor combined with a processor could accurately evoke warning signals (100% of sensitivity rate), indicating its effectiveness and usefulness for detecting abnormal breathing rates, especially apnea. Conclusion: Our results showed that a new device composed of an NEMS by combining an MWCNT sensor and complementary metal-oxide semiconductor (CMOS) circuits could be integrated to effectively detect apnea in the elderly. This novel device may improve the pattern of safe respiratory care for the elderly in the future. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。