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Subha D. Puthankattil

Observed names: D P Subha, D. P Subha, D. P. Subha, D. Puthankattil Subha, D.P Subha, D.P. Subha, DP Subha, Puthankattil Subha Dharmapalan, Puthankattil, Subha D., SUBHA D. PUTHANKATTIL, Subha D P, Subha D Puthankattil, Subha D. P., Subha Dharmapalan Puthankattil
ORCID: 0000-0002-1239-900X
Observed ORCID: 0000-0002-1239-900X
OpenAlex ID: A5021393050
Automated EEG-based screening of depression using deep convolutional neural network
2018 · U. Rajendra Acharya, Shu Lih Oh, et al. · Computer Methods and Programs in Biomedicine · 650
EEG Signal Analysis: A Survey
2008 · D. Puthankattil Subha, Paul K. Joseph, et al. · Journal of Medical Systems · 634
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
2019 · Betul Ay, Ozal Yildirim, et al. · Journal of Medical Systems · 290
An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals
2018 · Manish Sharma, P.V. Achuth, et al. · Cognitive Systems Research · 142
Depression Diagnosis Support System Based on Eeg Signal Entropies
2014 · OLIVER FAUST, PENG CHUAN ALVIN ANG, et al. · Journal of Mechanics in Medicine and Biology · 124
Classification of Eeg Signals in Normal and Depression Conditions by Ann Using Rwe and Signal Entropy
2012 · SUBHA D. PUTHANKATTIL, PAUL K. JOSEPH · Journal of Mechanics in Medicine and Biology · 114
Prediction of Depression from EEG Signal Using Long Short Term Memory(LSTM)
2019 · S.Dhananjay Kumar, DP Subha · International Conference on Trends in Electronics and Informatics (ICOEI) · 94
Complex network analysis of MCI-AD EEG signals under cognitive and resting state
2020 · Surya Das, Subha D. Puthankattil · Brain Research · 51
EEG-Based Automated Detection of Schizophrenia Using Long Short-Term Memory (LSTM) Network
2020 · A. Nikhil Chandran, Karthik Sreekumar, et al. · Algorithms for intelligent systems · 50
Automated Diagnosis of Depression Electroencephalograph Signals Using Linear Prediction Coding and Higher Order Spectra Features
2017 · G. Muralidhar Bairy, Oh Shu Lih, et al. · Journal of Medical Imaging and Health Informatics · 48
Performance analysis of deep learning CNN in classification of depression EEG signals
2019 · P Sandheep, S Vineeth, et al. · IEEE Region 10 Conference (TENCON) · 43
Analysis of long range dependence in the EEG signals of Alzheimer patients
2018 · T. Nimmy John, Subha D. Puthankattil, et al. · Cognitive Neurodynamics · 36
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Automated Classification of Depression Eeg Signals Using Wavelet Entropies and Energies
2015 · G. MURALIDHAR BAIRY, U. C. NIRANJAN, et al. · Journal of Mechanics in Medicine and Biology · 33
A hybrid method for artifact removal of visual evoked EEG
2020 · Priyalakshmi Sheela, Subha D. Puthankattil · Journal of Neuroscience Methods · 32
Analysis Of Eeg Signals Using Wavelet Entropy And Approximate Entropy: A Case Study On Depression Patients
2014 · Puthankattil, Subha D., Joseph, Paul K. · Zenodo (CERN European Organization for Nuclear Research) · 28
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Classification of Normal and Epileptic EEG Signal Using Time & Frequency Domain Features through Artificial Neural Network
2012 · Anusha K.S., Mathew T. Mathews, et al. · International Conference on Advances in Computing and Communications (ICACC) · 27
Automated Classification of Depression Electroencephalographic Signals Using Discrete Cosine Transform and Nonlinear Dynamics
2015 · G. Muralidhar Bairy, Shreya Bhat, et al. · Journal of Medical Imaging and Health Informatics · 26
Exploration of time–frequency reassignment and homologous inter-hemispheric asymmetry analysis of MCI–AD brain activity
2019 · T. Nimmy John, Puthankattil Subha Dharmapalan, et al. · BMC Neuroscience · 20
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Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease
2022 · Surya Das, Subha D. Puthankattil · Frontiers in Computational Neuroscience · 17
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Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals
2021 · U. Raghavendra, Anjan Gudigar, et al. · Expert Systems · 14
Half-wave Segment Feature Extraction of Eeg Signals of Patients With Depression and Performance Evaluation of Neural Network Classifiers
2016 · SUBHA D. PUTHANKATTIL, PAUL K. JOSEPH · Journal of Mechanics in Medicine and Biology · 10
Convolutional LSTM: A Deep learning approach for Dynamic MRI Reconstruction
2020 · Shashidhar V. Yakkundi, D.P. Subha · International Conference on Trends in Electronics and Informatics (ICOEI) · 9
Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features
2022 · Himanshu Kumar, Nagarajan Ganapathy, et al. · Studies in health technology and informatics · 7
EEG based emotion recognition using entropy features and Bayesian optimized random forest
2021 · Himanshu Kumar, Nagarajan Ganapathy, et al. · Current Directions in Biomedical Engineering · 7
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Event related potential analysis techniques for autism spectrum disorders: A review
2018 · Priyalakshmi Sheela, Subha D. Puthankattil · International Journal of Developmental Neuroscience · 7
Works count: 53
Citation count: 2,549
H-index: 18
I10-index: 21
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