A Fully Analog Autonomous QRS Complex Detection and Low-Complexity Asystole, Extreme Bradycardia, and Tachycardia Classification System
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 …
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 …
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 …
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
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 …
(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
This paper proposes piece-wise matching layer as a novel layer in representation learning
methods for electrocardiogram (ECG) classification. Despite the remarkable performance of …
methods for electrocardiogram (ECG) classification. Despite the remarkable performance of …