The effect of textile-based inductive coil sensor positions for heart rate monitoring

Hye Ran Koo, Young Jae Lee, Sunok Gi, Seonah Khang, Joo Hyeon Lee, Jae Ho Lee, Min Gyu Lim, Hee Jung Park, Jeong Whan Lee

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)


In the research related to heart rate measurement, few studies have been done using magnetic-induced conductivity sensing methods to measure the heart rate. The aim of this study was to analyze the effect of the position of a textile-based inductive coil sensor on the measurement of the heart rate. In order to assess the capability of the textile-based inductive coil sensor and the repeatability of measured cardiac muscle contractions, we proposed a new quality index based on the morphology of measured signals using a textile-based inductive coil sensor. We initially explored eight potential positions of the inductive sensor in a pilot experiment, followed by three sensor positions in the main experiment. A simultaneously measured electrocardiography (ECG) signal (Lead II) which was used as a reference signal for a comparison of the R-peak location with signals obtained from selected positions of the textile-based inductive coil sensor. The result of the main experiment indicated that the total quality index obtained from the sensor position 'P3', which was located 3 cm away from the left side from the center front line on the chest circumference line, was the highest (QI value = 1.30) among the three positions across all the subjects. This finding led us to conclude that (1) the position of the textile-based inductive coil sensor significantly affected the quality of the measurement results, and that (2) P3 would be the most appropriate position for the textile-based inductive coil sensor for heart rate measurements based on the magnetic-induced conductivity sensing principle.

Original languageEnglish
Article number2
JournalJournal of Medical Systems
Issue number2
Publication statusPublished - 2014 Feb

Bibliographical note

Funding Information:
Acknowledgments This research was supported by the Mid-Career Researcher Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning (NRF-2012R1A2A2A04045455).

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management


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