The Phenomenon of Short PQ Interval in Children

Олейчук, Е. Д.; Кручина, Т. К.; Новик, Г. А.; Егоров, Д. Ф.

doi:10.18565/cardio.2016.2.30-34

Cited by 1 publication

(1 citation statement)

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“…Ballistocardiography (BCG) [4] and seismocardiography (SCG) [5] can be utilized instead of ECG when non-invasive monitoring of the mechanical aspects of cardiac function, such as body recoil movements or chest wall vibrations, is required. BCG is a non-invasive technique that measures the mechanical activity of the heart by detecting the body's recoil movements as blood is ejected with each heartbeat.…”

Section: Introductionmentioning

confidence: 99%

Automated Heart Rate Detection in Seismocardiograms Using Electrocardiogram-Based Algorithms—A Feasibility Study

Pustozerov,

Kulau,

Albrecht

2024

Bioengineering

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In recent decades, much work has been implemented in heart rate (HR) analysis using electrocardiographic (ECG) signals. We propose that algorithms developed to calculate HR based on detected R-peaks using ECG can be applied to seismocardiographic (SCG) signals, as they utilize common knowledge regarding heart rhythm and its underlying physiology. We implemented the experimental framework with methods developed for ECG signal processing and peak detection to be applied and evaluated on SCGs. Furthermore, we assessed and chose the best from all combinations of 15 peak detection and 6 preprocessing methods from the literature on the CEBS dataset available on Physionet. We then collected experimental data in the lab experiment to measure the applicability of the best-selected technique to the real-world data; the abovementioned method showed high precision for signals recorded during sitting rest (HR difference between SCG and ECG: 0.12 ± 0.35 bpm) and a moderate precision for signals recorded with interfering physical activity—reading out a book loud (HR difference between SCG and ECG: 6.45 ± 3.01 bpm) when compared to the results derived from the state-of-the-art photoplethysmographic (PPG) methods described in the literature. The study shows that computationally simple preprocessing and peak detection techniques initially developed for ECG could be utilized as the basis for HR detection on SCG, although they can be further improved.

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Section: Introductionmentioning

confidence: 99%