Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Deep learning models have become a popular mode to classify electrocardiogram (ECG)
data. Investigators have used a variety of deep learning techniques for this application …
data. Investigators have used a variety of deep learning techniques for this application …
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG
workflow. Widely available digital ECG data and the algorithmic paradigm of deep learning …
workflow. Widely available digital ECG data and the algorithmic paradigm of deep learning …
Automatic cardiac arrhythmia classification using combination of deep residual network and bidirectional LSTM
Cardiac arrhythmia is associated with abnormal electrical activities of the heart, which can
be reflected by altered characteristics of electrocardiogram (ECG). Due to the simplicity and …
be reflected by altered characteristics of electrocardiogram (ECG). Due to the simplicity and …
Classification of ECG signals using machine learning techniques: A survey
SH Jambukia, VK Dabhi… - … Conference on Advances …, 2015 - ieeexplore.ieee.org
Classification of electrocardiogram (ECG) signals plays an important role in diagnoses of
heart diseases. An accurate ECG classification is a challenging problem. This paper …
heart diseases. An accurate ECG classification is a challenging problem. This paper …
High-performance personalized heartbeat classification model for long-term ECG signal
P Li, Y Wang, J He, L Wang, Y Tian… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …
The Apple Watch can detect atrial fibrillation: so what now?
GM Marcus - Nature Reviews Cardiology, 2020 - nature.com
The Apple Heart Study demonstrates that the Apple Watch can detect atrial fibrillation
inferred from the smartwatch heart-rate sensor with a high positive predictive value …
inferred from the smartwatch heart-rate sensor with a high positive predictive value …
Towards deep learning-based detection scheme with raw ECG signal for wearable telehealth systems
P Zhao, D Quan, W Yu, X Yang… - 2019 28th international …, 2019 - ieeexplore.ieee.org
The electrocardiogram (ECG) signal, as one of the most important vital signs, can provide
indications of many heart-related diseases. Nonetheless, in the case of telehealth context …
indications of many heart-related diseases. Nonetheless, in the case of telehealth context …
MATLAB-based ECG R-peak Detection and Signal Classification using Deep Learning Approach
A Gajare, H Dey - 2021 IEEE Bombay Section Signature …, 2021 - ieeexplore.ieee.org
This paper proposes an approach for R-peak detection employing various signal processing
techniques and abnormality detection in ECG signals involving classification into heart …
techniques and abnormality detection in ECG signals involving classification into heart …
Hypertensive retinopathy identification from retinal fundus image using probabilistic neural network
Hypertensive retinopathy refers to a disease condition that damages the retinal
vascularization in hypertensive patients, so that it lead to the blindness and death. It can …
vascularization in hypertensive patients, so that it lead to the blindness and death. It can …
Survey on big data analysis algorithms for network security measurement
H Chen, Y Fu, Z Yan - Network and System Security: 11th International …, 2017 - Springer
With the development of network technologies such as IoTs, D2D and SDN/NFV, etc.,
convenient network connections with various networks have stepped into our social life, and …
convenient network connections with various networks have stepped into our social life, and …