A Fully Analog Autonomous QRS Complex Detection and Low-Complexity Asystole, Extreme Bradycardia, and Tachycardia Classification System

PK Jha, MK Rajendran, PK Lenka… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article presents a power-efficient fully analog classifier architecture for the detection of
critical cardiac abnormalities, ie, asystole, extreme bradycardia, and tachycardia. To reduce …

A life-threatening arrhythmia detection method based on pulse rate variability analysis and decision tree

L Chou, J Liu, S Gong, Y Chou - Frontiers in Physiology, 2022 - frontiersin.org
Extreme bradycardia (EB), extreme tachycardia (ET), ventricular tachycardia (VT), and
ventricular flutter (VF) are the four types of life-threatening arrhythmias, which are symptoms …

[PDF][PDF] Arrhythmia Bot: Arrhythmia Disease Prediction using Internet of Things with Machine Learning Approaches and Telegram Bot

S Das, S Malick, S Majumder… - Science and …, 2023 - ajac.smartsociety.org
Cardiac demise as of arrhythmia remains a prime cause of mortality in the world. Arrhythmia
patient monitoring is a vital technique that gives customers all vital statistics regarding every …

Simultaneous multiple features tracking of beats: A representation learning approach to reduce false alarm rate in icus

B Ghazanfari, S Zhang, F Afghah… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
The high rate of false alarms is a key challenge related to patient care in intensive care units
(ICUs) that can result in delayed responses of the medical staff. Several rule-based and …

Piece-wise Matching Layer in Representation Learning for ECG Classification

B Ghazanfari, F Afghah, S Zhang - arxiv preprint arxiv:2010.06510, 2020 - arxiv.org
This paper proposes piece-wise matching layer as a novel layer in representation learning
methods for electrocardiogram (ECG) classification. Despite the remarkable performance of …