ArticleSensors (Basel, Switzerland)2016
Reduction of Motion Artifacts and Improvement of R Peak Detecting Accuracy Using Adjacent Non-Intrusive ECG Sensors.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 27 citations in OpenAlex.
- Improving Signal Quality in Non-Contact Electrocardiography: Novel Strategy for Motion Artifact Reduction.Sensors (Basel, Switzerland) · 2026Article
- Motion artifacts in capacitive ECG monitoring systems: a review of existing models and reduction techniques.Medical & biological engineering & computing · 2024Review
- Reduction in the Motion Artifacts in Noncontact ECG Measurements Using a Novel Designed Electrode Structure.Sensors (Basel, Switzerland) · 2023Article
- Reduction of Artifacts in Capacitive Electrocardiogram Signals of Driving Subjects.Entropy (Basel, Switzerland) · 2021Article
- Advanced e-Call Support Based on Non-Intrusive Driver Condition Monitoring for Connected and Autonomous Vehicles.Sensors (Basel, Switzerland) · 2021Article
- Electrode Humidification Design for Artifact Reduction in Capacitive ECG Measurements.Sensors (Basel, Switzerland) · 2020Article
- Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes.Sensors (Basel, Switzerland) · 2018Article
- Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors.Sensors (Basel, Switzerland) · 2018Article
- Article
- Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.