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Eedara Prabhakararao
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Myocardial infarction severity stages classification from ecg signals using attentional recurrent neural network
E Prabhakararao, S Dandapat
IEEE Sensors Journal 20 (15), 8711-8720, 2020
322020
On the use of variational mode decomposition for removal of baseline wander in ECG signals
E Prabhakararao, MS Manikandan
2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016
172016
A weighted SVM based approach for automatic detection of posterior myocardial infarction using VCG signals
E Prabhakararao, S Dandapat
2019 national conference on communications (NCC), 1-6, 2019
132019
B-Scan attentive CNN for the classification of retinal optical coherence tomography volumes
V Das, E Prabhakararao, S Dandapat, PK Bora
IEEE Signal Processing Letters 27, 1025-1029, 2020
122020
Automated detection of posterior myocardial infarction from VCG signals using stationary wavelet transform based features
E Prabhakararao, S Dandapat
IEEE Sensors Letters 4 (6), 1-4, 2020
112020
Efficient and robust ventricular tachycardia and fibrillation detection method for wearable cardiac health monitoring devices
E Prabhakararao, MS Manikandan
Healthcare Technology Letters 3 (3), 239-246, 2016
82016
Automatic quality estimation of 12-lead ECG for remote healthcare monitoring systems
E Prabhakararao, S Dandapat
2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2018
62018
Attentive RNN-based network to fuse 12-lead ECG and clinical features for improved myocardial infarction diagnosis
E Prabhakararao, S Dandapat
IEEE Signal Processing Letters 27, 2029-2033, 2020
42020
Multi-Scale Convolutional Neural Network Ensemble for Multi-Class Arrhythmia Classification
E Prabhakararao, S Dandapat
IEEE Journal of Biomedical and Health Informatics, 2021
32021
Multiscale convolutional neural network for detecting paroxysmal atrial fibrillation from single lead ECG signals
E Prabhakararao, S Dandapat
2020 IEEE Applied Signal Processing Conference (ASPCON), 339-343, 2020
22020
Detection of life-threatening arrhythmias using random noise and zerocrossing information
E Prabhakararao, MS Manikandan
2016 International Conference on Wireless Communications, Signal Processing …, 2016
12016
Atrial Fibrillation Burden Estimation using Multi-Task Deep Convolutional Neural Network
E Prabhakararao, S Dandapat
IEEE Journal of Biomedical and Health Informatics, 2022
2022
Biomedical Signal Processing Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal …
S Mukherjee, C Gonzalez-Gomez, L Danglot, T Lagache, JC Olivo-Marin, ...
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