U-healthcare system: State-of-the-art review and challenges

F Touati, R Tabish - Journal of medical systems, 2013 - Springer
With the increase of an ageing population and chronic diseases, society becomes more
health conscious and patients become “health consumers” looking for better health …

ECG feature extraction techniques-a survey approach

S Karpagachelvi, M Arthanari, M Sivakumar - arXiv preprint arXiv …, 2010 - arxiv.org
ECG Feature Extraction plays a significant role in diagnosing most of the cardiac diseases.
One cardiac cycle in an ECG signal consists of the P-QRS-T waves. This feature extraction …

[PDF][PDF] Privacy-protecting techniques for behavioral data: A survey

S Hanisch, P Arias-Cabarcos, J Parra-Arnau… - arXiv preprint arXiv …, 2021 - core.ac.uk
∗ Funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)
as part of Germany's Excellence Strategy–EXC 2050/1–Project ID 390696704–Cluster of …

[PDF][PDF] A technical review on statistical feature extraction of ECG signal

A Kar, L Das - IJCA Special Issue on 2nd National Conference …, 2011 - researchgate.net
ABSTRACT ECG Feature Extraction plays a significant role in diagnosing most of the
cardiac diseases. In this paper a comprehensive review has been made for statistical feature …

Polynomial distance measurement for ECG based biometric authentication

F Sufi, I Khalil, I Habib - Security and Communication Networks, 2010 - Wiley Online Library
Existing electrocardiography (ECG) based biometric systems are constantly being
challenged by higher misclassification error, longer acquisition time, larger template size …

Design and implementation of low cost ECG monitoring system for the patient using smart device

S Deb, SMR Islam, J RobaiatMou… - … on Electrical, Computer …, 2017 - ieeexplore.ieee.org
Cardiovascular disease (CSD) has become the leading cause of death worldwide in recent
years. This CSD is the most challenging problem for detection or identification in early …

Integration of machine learning and optimization techniques for cardiac health recognition

EH Houssein, IE Ibrahim, M Hassaballah… - … meta-heuristics and …, 2022 - Springer
Cardiovascular disease (CVD) remains the primary reason for illness and death throughout
the world despite tremendous progress in diagnosis and treatment. Artificial intelligence (AI) …

Classification of normal and abnormal ECG signals based on their PQRST intervals

N Naseer, H Nazeer - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
In this paper, we propose a system that is capable of automatically differentiating between
normal and abnormal heartbeats of patients using signals acquired from …

A chaos‐based encryption technique to protect ECG packets for time critical telecardiology applications

F Sufi, F Han, I Khalil, J Hu - Security and Communication …, 2011 - Wiley Online Library
Electrocardiography (ECG) signal is popularly used for diagnosing cardiovascular diseases
(CVDs). However, in recent times ECG is being used for identifying person. As ECG signals …

Diagnosis-steganography-transmission: an innovative integrated paradigm for ECG healthcare

N Sahu, D Peng, H Sharif - SN Computer Science, 2021 - Springer
The developing prominence of edge computing and Internet of Things-based wearables
coupled with body sensors offer us a unique idea of integrating the Diagnosis …