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. 2021 Jun:12721:258-262.
doi: 10.1007/978-3-030-77211-6_29. Epub 2021 Jun 8.

Detection of Junctional Ectopic Tachycardia by Central Venous Pressure

Xin Tan  1 , Yanwan Dai  1 , Ahmed Imtiaz Humayun  2 , Haoze Chen  2 , Genevera I Allen  3   4 , Parag N Jain  5
Affiliations

Detection of Junctional Ectopic Tachycardia by Central Venous Pressure

Xin Tan et al. Artif Intell Med Conf Artif Intell Med (2005-). 2021 Jun.

Abstract

Central venous pressure (CVP) is the blood pressure in the venae cavae, near the right atrium of the heart. This signal waveform is commonly collected in clinical settings, and yet there has been limited discussion of using this data for detecting arrhythmia and other cardiac events. In this paper, we develop a signal processing and feature engineering pipeline for CVP waveform analysis. Through a case study on pediatric junctional ectopic tachycardia (JET), we show that our extracted CVP features reliably detect JET with comparable results to the more commonly used electrocardiogram (ECG) features. This machine learning pipeline can thus improve the clinical diagnosis and ICU monitoring of arrhythmia. It also corroborates and complements the ECG-based diagnosis, especially when the ECG measurements are unavailable or corrupted.

Keywords: Automatic Arrythmia Detection; Central Venous Pressure; Junctional Ectopic Tachycardia; Physiological Signal Feature Extraction.

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Figures

Fig. 1.
Fig. 1.
Cannon a wave is the primary CVP morphology during JET onset
Fig. 2.
Fig. 2.
CVP Waveform Comparison
Fig. 3.
Fig. 3.
CVP Cycle Dynamic Alignment
Fig. 4.
Fig. 4.
Measure a, c, v waves during a single CVP cycle
Fig. 5.
Fig. 5.
Selected CVP Features Comparison
Fig. 6.
Fig. 6.
Feature Importance Scores
See this image and copyright information in PMC

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