Identifying normal, AF and other abnormal ECG rhythms using a cascaded binary classifier
In this paper, we present a methodology for classifying normal, atrial fibrillation (AF), non-AF
related other abnormal heart rhythms and noisy recordings by analysing single lead ECG …
related other abnormal heart rhythms and noisy recordings by analysing single lead ECG …
Diagnosis of heart diseases by a secure internet of health things system based on autoencoder deep neural network
Objective of this study is to introduce a secure IoHT system, which acts as a clinical decision
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
Research on segmentation and classification of heart sound signals based on deep learning
Y He, W Li, W Zhang, S Zhang, X Pi, H Liu - Applied Sciences, 2021 - mdpi.com
The heart sound signal is one of the signals that reflect the health of the heart. Research on
the heart sound signal contributes to the early diagnosis and prevention of cardiovascular …
the heart sound signal contributes to the early diagnosis and prevention of cardiovascular …
Feature selection algorithms highlight the importance of the systolic segment for normal/murmur PCG beat classification
This paper proposes a method using statistical local and global features for classifying
healthy and murmur heart sound recordings from phonocardiogram signals. Classification …
healthy and murmur heart sound recordings from phonocardiogram signals. Classification …
Knowledge-driven analytics and systems impacting human quality of life-neurosymbolic ai, explainable ai and beyond
The management of knowledge-driven artificial intelligence technologies is essential in
order to evaluate their impact on human life and society. Social networks and tech use can …
order to evaluate their impact on human life and society. Social networks and tech use can …
RETRACTED ARTICLE: Classification of unsegmented phonocardiogram signal using scalogram and deep learning
KM Devi, MM Chanu, NH Singh, KM Singh - Soft Computing, 2023 - Springer
In many parts of the globe, heart disease or cardiovascular disease is a leading cause of
mortality. It is a group of conditions that includes heart failure and other cardiac problems. In …
mortality. It is a group of conditions that includes heart failure and other cardiac problems. In …
Data-driven automated cardiac health management with robust edge analytics and de-risking
Remote and automated healthcare management has shown the prospective to significantly
impact the future of human prognosis rate. Internet of Things (IoT) enables the development …
impact the future of human prognosis rate. Internet of Things (IoT) enables the development …
Classification of segmented phonocardiograms by convolutional neural networks
O Deperlioglu - … . Broad research in artificial intelligence and …, 2019 - lumenpublishing.com
One of the first causes of human deaths in recent years in our world is heart diseases or
cardiovascular diseases. Phonocardiograms (PCG) and electrocardiograms (ECG) are …
cardiovascular diseases. Phonocardiograms (PCG) and electrocardiograms (ECG) are …
Effective features in the diagnosis of cardiovascular diseases through phonocardiogram
Z Sabouri, A Ghadimi, A Kiani-Sarkaleh… - … Systems and Signal …, 2023 - Springer
Heart sounds provide valuable information about the health and functions of the heart, and
their processing as a non-invasive, simple, low-cost, and accessible method for the …
their processing as a non-invasive, simple, low-cost, and accessible method for the …
Automated cardiac health screening using smartphone and wearable sensors through anomaly analytics
With the advent and rapid deployment of Internet of Things (IoT), artificial intelligence (AI),
powerful smartphones, and wearable sensor devices (eg, smartwatch), we are entering into …
powerful smartphones, and wearable sensor devices (eg, smartwatch), we are entering into …