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Jisu Elsa Jacob
Observed name:
J. E. Jacob
Observed institution:
College of Engineering Trivandrum
ORCID:
0000-0002-8317-4967
Observed ORCID:
0000-0002-8317-4967
OpenAlex ID:
A5021592796
Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine
2018
·
Jisu Elsa Jacob
, Gopakumar Kuttappan Nair
, et al.
·
Neurology Research International
·
41
PDF
Application of fractal dimension for EEG based diagnosis of encephalopathy
2019
·
Jisu Elsa Jacob
, Gopakumar Kuttappan Nair
, et al.
·
Analog Integrated Circuits and Signal Processing
·
32
Epileptic seizure detection using non linear analysis of EEG
2016
·
V. S. Vijith
, Jisu Elsa Jacob
, et al.
·
International Conference on Inventive Computation Technologies (ICICT)
·
27
Diagnosis of epilepsy from interictal EEGs based on chaotic and wavelet transformation
2016
·
Jisu Elsa Jacob
, Vijith Vijayakumar Sreelatha
, et al.
·
Analog Integrated Circuits and Signal Processing
·
24
Can Chaotic Analysis of Electroencephalogram Aid the Diagnosis of Encephalopathy?
2018
·
Jisu Elsa Jacob
, Ajith Cherian
, et al.
·
Neurology Research International
·
19
PDF
Effect of combining features generated through non-linear analysis and wavelet transform of EEG signals for the diagnosis of encephalopathy
2021
·
Jisu Elsa Jacob
, Sreejith Chandrasekharan
, et al.
·
Neuroscience Letters
·
15
EEG entropies as estimators for the diagnosis of encephalopathy
2019
·
Jisu Elsa Jacob
, Gopakumar Kuttappan Nair
·
Analog Integrated Circuits and Signal Processing
·
13
Exploring recurrence quantification analysis and fractal dimension algorithms for diagnosis of encephalopathy
2023
·
Sreejith Chandrasekharan
, Jisu Elsa Jacob
, et al.
·
Cognitive Neurodynamics
·
11
PDF
Automated Diagnosis of Encephalopathy Using Fractal Dimensions of EEG Sub-Bands
2018
·
Jisu Elsa Jacob
, K Gopakumar
·
IEEE Recent Advances in Intelligent Computational Systems
·
11
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation
2025
·
Sreejith Chandrasekharan
, Jisu Elsa Jacob
·
Frontiers in Neuroinformatics
·
6
PDF
Automated Diagnosis of Encephalopathy Based on Empirical Mode EEG Decomposition
2018
·
J. E. Jacob
, K. Gopakumar
, et al.
·
Neurophysiology
·
4
A Review of Chaotic Analysis of EEG in Neurological Diseases
2018
·
Jisu Elsa Jacob
, K Gopakumar
·
International Conference on Control, Communication and Computing (ICCC)
·
3
Non linear analysis of epileptic EEG
2016
·
Jisu Elsa Jacob
, Vijith V S
, et al.
·
International Conference on Data Mining and Advanced Computing (SAPIENCE)
·
3
Unveiling encephalopathy signatures: A deep learning approach with locality-preserving features and hybrid neural network for EEG analysis
2025
·
Jisu Elsa Jacob
, Sreejith Chandrasekharan
, et al.
·
Neuroscience Letters
·
1
Analysis of EEG using variational mode decomposition method for diagnosis of epilepsy
2020
·
Arya Surendran
, Jisu Elsa Jacob
, et al.
·
AIP conference proceedings
·
1
Computational approaches to deep learning–driven EEG analysis for neurological disease diagnosis: a systematic review
2026
·
Thazneem H F
, Jisu Elsa Jacob
·
Frontiers in Neuroinformatics
PDF
Editorial: Advanced EEG analysis techniques for neurological disorders
2025
·
Jisu Elsa Jacob
, Sreejith Chandrasekharan
·
Frontiers in Neuroinformatics
PDF
Advanced EEG Analysis Techniques for Neurological Disorders
2025
·
Jisu Elsa Jacob
·
Frontiers research topics
Chaotic and Nonlinear Features as EEG Biomarkers for the Diagnosis of Neuropathologies
2023
·
Jisu Elsa Jacob
·
Apple Academic Press eBooks
Comparison of Various Empirical-Mode Decomposition Techniques of EEG for the Diagnostics of Epilepsy
2022
·
B. Gopika
, J. E. Jacob
·
Neurophysiology
Pertinence of signal processing techniques in EEG analysis
2021
·
Jisu Elsa Jacob
·
De Gruyter eBooks
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Works count:
21
Citation count:
211
H-index:
9
I10-index:
9
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