U-healthcare system: State-of-the-art review and challenges
With the increase of an ageing population and chronic diseases, society becomes more
health conscious and patients become “health consumers” looking for better health …
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 …
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
∗ Funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)
as part of Germany's Excellence Strategy–EXC 2050/1–Project ID 390696704–Cluster of …
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 …
cardiac diseases. In this paper a comprehensive review has been made for statistical feature …
Polynomial distance measurement for ECG based biometric authentication
Existing electrocardiography (ECG) based biometric systems are constantly being
challenged by higher misclassification error, longer acquisition time, larger template size …
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
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 …
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) …
the world despite tremendous progress in diagnosis and treatment. Artificial intelligence (AI) …
Classification of normal and abnormal ECG signals based on their PQRST intervals
In this paper, we propose a system that is capable of automatically differentiating between
normal and abnormal heartbeats of patients using signals acquired from …
normal and abnormal heartbeats of patients using signals acquired from …
A chaos‐based encryption technique to protect ECG packets for time critical telecardiology applications
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 …
(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
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 …
coupled with body sensors offer us a unique idea of integrating the Diagnosis …