EEG Signal Analysis: A Survey. - Subha D. Puthankattil; Paul K. Joseph; U. Rajendra Acharya; Choo Min Lim (J. Medical Syst., 2010)

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)

An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals. - Manish Sharma 001; Achuth P. V.; Dipankar Deb; Subha D. Puthankattil; U. Rajendra Acharya (Cogn. Syst. Res., 2018)

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)

Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection. - Himanshu Kumar; Nagarajan Ganapathy; Subha D. Puthankattil; Ramakrishnan Swaminathan (MIE, 2021)

A noise-robust sparse approach to the time-frequency representation of visual evoked potentials. - Priyalakshmi Sheela; Subha D. Puthankattil (Comput. Biol. Medicine, 2021)

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 (EMBC, 2022)

Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features. - Himanshu Kumar; Nagarajan Ganapathy; Subha D. Puthankattil; Ramakrishnan Swaminathan (MIE, 2022)

MVME-RCMFDE framework for discerning hyper-responsivity in Autism Spectrum Disorders. - Priyalakshmi Sheela; Subha D. Puthankattil (Comput. Biol. Medicine, 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)

Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns. - Surya Das; Subha D. Puthankattil (Expert Syst. J. Knowl. Eng., 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., 2023)

Electroencephalogram-Based Metastability in Mild Cognitive Impairment Alzheimer's Disease. - Surya Das; Subha D. Puthankattil (Brain Connect., 2024)