Heartbeat Signal Detection From Analysis of Airflow in Rat Airway Under Different Depths of Anaesthesia Conditions

被引：10

作者：

Kawaoka, Hidetaka ^{[1
]}

Yamada, Takayuki ^{[2
]}

Matsushima, Miyoko ^{[3
]}

Kawabe, Tsutomu ^{[3
]}

Hasegawa, Yoshihiro ^{[4
]}

Shikida, Mitsuhiro ^{[4
]}

机构：

[1] Hiroshima City Univ, Dept Frontier Sci, Hiroshima 7313194, Japan

[2] Nagoya Univ, Dept Micronano Syst Engn, Nagoya, Aichi 4618673, Japan

[3] Nagoya Univ, Dept Med Technol, Nagoya, Aichi 4618673, Japan

[4] Hiroshima City Univ, Dept Biomed Informat Sci, Hiroshima 7313194, Japan

来源：

IEEE SENSORS JOURNAL | 2017年 / 17卷 / 14期

关键词：

Flow sensor; heartbeat signal; respiration; SENSOR; MICRONEEDLE; ARRAY;

D O I：

10.1109/JSEN.2017.2707594

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We inserted a tubular flow sensor incorporating micro-electro-mechanical systems technologies directly into the rat airway and analyzed the airflow waveforms obtained under different depths of anaesthesia conditions by using discrete Fourier transformation (DFT) to evaluate the heartbeat frequency. The electrocardiogram (ECG) signal was used as the reference heartbeat frequency. The calibration curve of the flow sensor used to measure the oscillating airflow in the rat airway was determined on the basis of King's law. The airflow waveform at the rat airway caused by only the heartbeat was measured by applying deep anaesthesia; the waveform frequency coincided with the simultaneously measured ECG signal frequency. DFT analysis of the airflow signals measured under deep and shallow anaesthesia conditions verified the fundamental heartbeat frequency values. The airflow components related to heartbeat motion were successfully extracted by using the heartbeat frequency spectrum. The respiration and heartbeat signals were thus successfully detected.

引用

页码：4369 / 4377

页数：9

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