Subha D. Puthankattil

According to our database, Subha D. Puthankattil authored at least 13 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Electroencephalogram-Based Metastability in Mild Cognitive Impairment Alzheimer's Disease.

Surya Das, Subha D. Puthankattil

Brain Connect., 2024

2023

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals.

U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, Subha D. Puthankattil, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya

Expert Syst. J. Knowl. Eng., May, 2023

Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns.

Surya Das, Subha D. Puthankattil

Expert Syst. J. Knowl. Eng., May, 2023

2022

Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease.

Surya Das, Subha D. Puthankattil

Frontiers Comput. Neurosci., 2022

MVME-RCMFDE framework for discerning hyper-responsivity in Autism Spectrum Disorders.

Priyalakshmi Sheela, Subha D. Puthankattil

Comput. Biol. Medicine, 2022

Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features.

Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns.

Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

A noise-robust sparse approach to the time-frequency representation of visual evoked potentials.

Priyalakshmi Sheela, Subha D. Puthankattil

Comput. Biol. Medicine, 2021

Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection.

Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan

Proceedings of the Public Health and Informatics, 2021

2019

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals.

Betül Ay Karakus, Özal Yildirim, Muhammed Talo, Ulas Baran Baloglu, Galip Aydin, Subha D. Puthankattil, U. Rajendra Acharya

J. Medical Syst., 2019

2018

An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals.

Manish Sharma, Achuth P. V., Dipankar Deb, Subha D. Puthankattil, U. Rajendra Acharya

Cogn. Syst. Res., 2018

Automated EEG-based screening of depression using deep convolutional neural network.

U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli, Subha D. Puthankattil

Comput. Methods Programs Biomed., 2018

2010

EEG Signal Analysis: A Survey.

Subha D. Puthankattil, Paul K. Joseph, U. Rajendra Acharya, Choo Min Lim

J. Medical Syst., 2010