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A Capacitive Electrocardiography System With Dedicated Noise-Cancellation Algorithms for Morphological Analysis.

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|September 26, 2022

Summary

Capacitive electrocardiography (cECG) shows promise for ambulatory cardiac monitoring. This study demonstrates cECG

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Area of Science:

Biomedical Engineering
Cardiology
Signal Processing

Background:

Capacitive electrocardiography (cECG) offers potential for ambulatory cardiac monitoring.
Existing cECG systems are limited to RR interval analysis due to sensitivity to power-line interference (PLI) and motion artifacts (MA).

Purpose of the Study:

To investigate the feasibility of cECG for detailed morphological analysis.
To extract clinically significant parameters beyond heart rate from cECG signals.

Main Methods:

Developed a cECG system with active guarding and a phase-locked-loop (PLL) adaptive canceller for PLI removal.
Utilized wavelet analysis for noise cancellation and evaluated the system on 7 volunteers using a 3-lead configuration.
Compared cECG-derived parameters with traditional wet ECG measurements.

Main Results:

Achieved high correlation coefficients (CC) between cECG and wet ECG: 0.97±0.03 (with QRS) and 0.92±0.07 (without QRS).
Identical RR intervals were obtained from both cECG and wet ECG signals.
Other diagnostic parameters extracted from cECG showed high similarity to wet ECG values.

Conclusions:

cECG is a reliable method for ambulatory heart rate monitoring.
The findings support the feasibility of using cECG for clinical diagnosis and morphological analysis.