FIELD: medicine.
SUBSTANCE: electrocardiograms are taken from the ECG sensors, amplified, and primary analog processing is performed. The analog signal is sampled in its amplitude and time for digital conversion. The isoline drift is corrected by determination of the moving average in a rectangular time window of duration N1 in 30 discrete samples, followed by subtraction from the input signal. Adaptive normalisation of R-peak signals is performed. Noise and high-frequency interference are eliminated by estimating the difference ΔSi between the signal area SN3 within the moving rectangular window N3 in 15 discrete samples and its average value SN1 av. in the moving window N1. The original waveform is retained if the difference ΔSi exceeds two, and is replaced by the average value of the signal in the moving window N1, If the difference ΔSi is less than two. The position of R peaks is localized by threshold detection at a level of 0.5, selecting the maximum peaks from every five adjacent samples and determining the temporal location of the maximum. Atypical cardiocycles are removed, and information related to user's to heart contractions is extracted.
EFFECT: reduced computing costs and capacities, power consumption, increased duration of cardiac monitor operation without changing the batteries, increased reliability of ECG diagnosis, shortened evaluation of the functional state for the patient, and accelerated pre-hospital assessment of heart diseases.
7 dwg
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Authors
Dates
2017-07-06—Published
2016-08-24—Filed