Key result
Direct measurement of half cell potential variations using a modified electrode and adaptive filtering can reduce motion artifacts in ECGs without the need for additional sensors.
A novel wearable device using half-cell potential monitoring and adaptive filtering may effectively reduce motion artifacts in ECGs without needing additional sensors.
May enable sensor-free artifact reduction in wearable ECGs; leaves open prospective clinical validation before adoption.
The electrocardiogram (ECG) is the main measurement parameter for effectively diagnosing chronic disease and guiding cardio-fitness therapy. ECGs contaminated by noise or artifacts disrupt the normal functioning of the automatic analysis algorithm. The objective of this study is to evaluate a method of measuring the HCP variation in motion artifacts through direct monitoring. The proposed wearable sensing device has two channels. One channel is used to measure the ECG through a differential amplifier. The other is for monitoring motion artifacts using the modified electrode and the same differential amplifier. Noise reduction was performed using adaptive filtering, based on a reference signal highly correlated with it. Direct measurement of HCP variations can eliminate the need for additional sensors.
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Ko et al. (2012) studied ECG motion artifacts. Adaptive filtering based on half cell potential (HCP) monitoring was evaluated on Noise reduction in ECG. Direct measurement of half cell potential variations using a modified electrode and adaptive filtering can reduce motion artifacts in ECGs without the need for additional sensors.
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