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基于電阻抗技術(shù)的多通道呼吸監(jiān)測(cè)系統(tǒng)

A multiple-channel respiratory monitor system based on electrical impedance technology

作者: 汪洪彬  周恒艷  張春健  潘曉玲  宋嶸 
單位:中山大學(xué)工學(xué)院(廣州510006)
關(guān)鍵詞: 電阻抗技術(shù);呼吸電阻抗;多通道開關(guān);監(jiān)測(cè)系統(tǒng) 
分類號(hào):
出版年·卷·期(頁(yè)碼):2013·32·6(601-605)
摘要:

目的 為及時(shí)檢測(cè)到早期呼吸系統(tǒng)疾病引起的呼吸功能的改變,本研究開發(fā)了一套采用生物電阻抗技術(shù)同時(shí)監(jiān)測(cè)胸部和腹部的呼吸電阻抗信號(hào)的多通道呼吸監(jiān)測(cè)系統(tǒng)。方法 本系統(tǒng)主要分為3個(gè)單元:電阻抗數(shù)據(jù)采集單元、多通道開關(guān)單元和控制單元。電阻抗數(shù)據(jù)采集單元完成生物電阻抗數(shù)據(jù)高精度的檢測(cè),多通道開關(guān)單元完成不同部位數(shù)據(jù)采集通道之間的轉(zhuǎn)換,控制單元采用LabVIEW編程實(shí)現(xiàn)對(duì)電阻抗數(shù)據(jù)采集單元和多通道開關(guān)單元的控制、同步采集、數(shù)據(jù)的顯示及存儲(chǔ)。利用本系統(tǒng)采集5名健康人長(zhǎng)跑5000m前后胸部和腹部的同步呼吸電阻抗信號(hào),采用一種新的參數(shù)定量描述胸部和腹部的呼吸電阻抗信號(hào)的同步程度。結(jié)果 長(zhǎng)跑前后胸部和腹部同步呼吸電阻抗信號(hào)的同步程度具有顯著差異(P<0.01)。結(jié)論 基于電阻抗技術(shù)的多通道呼吸監(jiān)測(cè)系統(tǒng)能夠有效用于多個(gè)部位呼吸電阻抗信號(hào)的同步監(jiān)測(cè),為早期呼吸系統(tǒng)疾病的檢測(cè)提供輔助診斷信息。

Objective In order to detect the change of respiratory function induced by respiratory diseases at early stage, a multiple-channel respiratory monitor system based on electrical impedance technology is developed to monitor the electrical impedance signal of thorax and abdomen. Methods The system is composed of three parts: an electrical impedance acquisition unit, a multiple-channel switch and a control unit. The electrical impedance acquisition unit can generate constant sinusoidal current and measure the electrical impedance using four-electrode method, and the control unit can control the multiple-channel switch to measure the impedance signal of thorax and abdomen alternately using the same electrical impedance acquisition unit. An experiment is conducted on 5 healthy persons, and the electrical impedance of thorax and abdomen respiration before and after the five-kilometer running is captured by using this system. Results The synchronization of electrical impedance signal of thorax and abdomen respiration before running is significantly different from that after running (P<0.01). Conclusions The system can monitor the electrical impedance signal at different sectors of human body and is potential in diagnosis of early respiratory diseases.

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