Key result
Active noise cancellation using adjacent non-intrusive capacitive ECG sensors increased the sum of sensitivity and positive predictivity for R peak detection by 8.39% on average.
Why the study?
Does an active noise cancellation technique using adjacent capacitive ECG sensors improve R peak detection accuracy during motion?
Does an active noise cancellation technique using adjacent capacitive ECG sensors improve R peak detection accuracy during motion?
Effect estimate: 8.39% average increase
The proposed active noise cancellation method using adjacent capacitive sensors significantly improves the accuracy of R peak detection in non-intrusive ECG monitoring during motion.
May facilitate non-intrusive ambulatory ECG; leaves open clinical outcome validation.
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.
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Choi et al. (2016) studied ECG monitoring. Active noise cancellation using adjacent non-intrusive capacitive ECG sensors vs. Standard non-intrusive ECG measurement was evaluated on Accuracy of detected R peaks (sum of sensitivity and positive predictivity) (8.39% average increase). Active noise cancellation using adjacent non-intrusive capacitive ECG sensors increased the sum of sensitivity and positive predictivity for R peak detection by 8.39% on average.
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