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Subha D. Puthankattil
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2020 – today
- 2024
- [j10]Surya Das, Subha D. Puthankattil:
Electroencephalogram-Based Metastability in Mild Cognitive Impairment Alzheimer's Disease. Brain Connect. 14(3): 198-207 (2024) - 2023
- [j9]Surya Das, Subha D. Puthankattil:
Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j8]U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, Subha D. Puthankattil, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya:
Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals. Expert Syst. J. Knowl. Eng. 40(4) (2023) - 2022
- [j7]Priyalakshmi Sheela, Subha D. Puthankattil:
MVME-RCMFDE framework for discerning hyper-responsivity in Autism Spectrum Disorders. Comput. Biol. Medicine 149: 105958 (2022) - [j6]Surya Das, Subha D. Puthankattil:
Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease. Frontiers Comput. Neurosci. 16: 877912 (2022) - [c3]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns. EMBC 2022: 277-283 - [c2]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features. MIE 2022: 943-944 - 2021
- [j5]Priyalakshmi Sheela, Subha D. Puthankattil:
A noise-robust sparse approach to the time-frequency representation of visual evoked potentials. Comput. Biol. Medicine 135: 104561 (2021) - [c1]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection. MIE 2021: 153-157
2010 – 2019
- 2019
- [j4]Betül Ay Karakus, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Galip Aydin, Subha D. Puthankattil, U. Rajendra Acharya:
Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals. J. Medical Syst. 43(7): 205:1-205:12 (2019) - 2018
- [j3]U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli, Subha D. Puthankattil:
Automated EEG-based screening of depression using deep convolutional neural network. Comput. Methods Programs Biomed. 161: 103-113 (2018) - [j2]Manish Sharma, Achuth P. V., Dipankar Deb, Subha D. Puthankattil, U. Rajendra Acharya:
An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals. Cogn. Syst. Res. 52: 508-520 (2018) - 2010
- [j1]Subha D. Puthankattil, Paul K. Joseph, U. Rajendra Acharya, Choo Min Lim:
EEG Signal Analysis: A Survey. J. Medical Syst. 34(2): 195-212 (2010)
Coauthor Index
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