Detection of Junctional Ectopic Tachycardia by Central Venous Pressure
Detection of Junctional Ectopic Tachycardia by Central Venous Pressure
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.
Tan Xin、Humayun Ahmed Imtiaz、Jain Parag N.、Allen Genevera I.、Dai Yanwan、Chen Haoze
Department of Statistics, Rice UniversityDepartment of Electrical and Computer Engineering, Rice UniversityTexas Children?ˉs Hospital, HoustonDepartments of ECE, Statistics, and Computer Science, Rice University||Neurological Research Institute, Baylor College of MedicineDepartment of Statistics, Rice UniversityDepartment of Electrical and Computer Engineering, Rice University
医学研究方法临床医学内科学
Automatic Arrythmia DetectionCentral Venous PressureJunctional Ectopic TachycardiaPhysiological Signal Feature Extraction
Tan Xin,Humayun Ahmed Imtiaz,Jain Parag N.,Allen Genevera I.,Dai Yanwan,Chen Haoze.Detection of Junctional Ectopic Tachycardia by Central Venous Pressure[EB/OL].(2025-03-28)[2025-05-31].https://www.biorxiv.org/content/10.1101/2021.04.02.438266.点此复制
评论