This paper presents a novel strategy based on derivatives time series and advanced machine learning for medical decision-support especially for cardiac ...
Abstract—This paper presents a novel strategy based on derivatives time series and advanced machine learning for medical decision-support especially for ...
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Advanced Machine Learning Coupled with Heart-Inter-beat derivatives for Cardiac Arrhythmia Detection. ... Relevance Vector Machine as Data-Driven Method for ...
Advanced machine learning coupled with heart-inter-beat derivatives for cardiac arrhythmia detection. In 2020 American Control Conference (ACC) (pp. 5433 ...
Study and analysis on detection, classification, and prediction of cardiac arrhythmia using soft computing tool, A Pratima, K GopalaKrishna, S N Prasad.
New ML-based framework enhances wearable health tracking with precise IBI estimation. · Optimized peak interpolation and ML-driven R-peak detection elevate PPG ...
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Apr 9, 2024 · This study propose an improved ensemble learning approach for arrhythmia detection using multi-lead ECG data. Proposed method, based on a ...
Nov 22, 2021 · We aim in this paper to design and investigate an automatic classification system using a new comprehensive ECG database inter-patient paradigm ...
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Another simple method to detect AF was proposed by J. Lian et al. [27]. Their algorithm is based on a map of RR vs. RR intervals change of RR intervals (RdR).
Apr 25, 2024 · Advanced Machine Learning Coupled with Heart-Inter-beat derivatives for Cardiac Arrhythmia Detection. ... An Advanced Arrhythmia ...