title: Reduction of Motion Artifacts and Improvement of R Peak Detecting Accuracy Using Adjacent Non-Intrusive ECG Sensors.
abstract: Non-intrusive electrocardiogram (ECG) monitoring has many advantages: easy to measure and apply in daily life. However, motion noise in the measured signal is the major problem of non-intrusive measurement. This paper proposes a method to reduce the noise and to detect the R peaks of ECG in a stable manner in a sitting arrangement using non-intrusive sensors. The method utilizes two capacitive ECG sensors (cECGs) to measure ECG, and another two cECGs located adjacent to the sensors for ECG are added to obtain the information on motion. Then, active noise cancellation technique and the motion information are used to reduce motion noise. To verify the proposed method, ECG was measured indoors and during driving, and the accuracy of the detected R peaks was compared. After applying the method, the sum of sensitivity and positive predictivity increased 8.39% on average and 26.26% maximally in the data. Based on the results, it was confirmed that the motion noise was reduced and that more reliable R peak positions could be obtained by the proposed method. The robustness of the new ECG measurement method will elicit benefits to various health care systems that require noninvasive heart rate or heart rate variability measurements.
authors.affiliation: Department of Creative IT Engineering and Future IT Innovation Laboratory, Pohang University of Science and Technology (POSTECH), Pohang, Kyungbuk 790-784, Korea. minho17@postech.ac.kr.
authors.forename: Minho
authors.initials: M
authors.lastname: Choi
authors.affiliation: Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Kyungbuk 790-784, Korea. jin03jin@postech.ac.kr.
authors.forename: Jae Jin
authors.initials: JJ
authors.lastname: Jeong
authors.affiliation: Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Kyungbuk 790-784, Korea. pisics@postech.ac.kr.
authors.forename: Seung Hun
authors.initials: SH
authors.lastname: Kim
authors.affiliation: Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Kyungbuk 790-784, Korea. swkim@postech.ac.kr.
authors.forename: Sang Woo
authors.initials: SW
authors.lastname: Kim
mesh_terms: D015374:Biosensing Techniques / Q000295:instrumentation*; D025802:Electric Capacitance; D004562:Electrocardiography / Q000295:instrumentation*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D009038:Motion; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D059629:Signal-To-Noise Ratio
keywords: R peak; active noise cancellation; adaptive filter; electrocardiogram; heart rate; motion noise; non contact measurement