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http://dx.doi.org/10.5370/JEET.2015.10.1.364

Application of a Textile-based Inductive Sensor for the Vital Sign Monitoring  

Gi, Sun Ok (Research center for Textile & Fashion, Yonsei University)
Lee, Young Jae (Dept. of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
Koo, Hye Ran (Dept. of Clothing and Textile, College of Human ecology, Yonsei University)
Khang, Seonah (Dept. of Clothing and Textile, College of Human ecology, Yonsei University)
Kim, Kyung-Nam (Dept. of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
Kang, Seung-Jin (Dept. of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
Lee, Joo Hyeon (Dept. of Clothing and Textile, College of Human ecology, Yonsei University)
Lee, Jeong-Whan (Dept. of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.1, 2015 , pp. 364-371 More about this Journal
Abstract
In this study, we developed a feasible structure of a textile-based inductive sensor using a machine embroidery method, and applied it to a non-contact type vital sign sensing device based on the principle of magnetic-induced conductivity. The mechanical heart activity signals acquired through the inductive sensor embroidered with conductive textile on fabric were compared with the Lead II ECG signals and with respiration signals, which were simultaneously measured in every case with five subjects. The analysis result showed that the locations of the R-peak in the ECG signal were highly associated with sharp peaks in the signals obtained through the textile-based inductive sensor (r=0.9681). Based on the results, we determined the feasibility of the developed textile-based inductive sensor as a measurement device for the heart rate and respiration characteristics.
Keywords
Magnetic-induced conductivity sensing method; Inductive sensor; Textile-based sensor; Vital sign monitoring; Heart rate sensing; Respiration sensing; Ubiquitous health care system;
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