most citedNon-linear Analysis Based ECG Classification of Cardiovascular Disorders

2 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations

Debanjali Bhattacharya, Rajneet Kaur, Ninad Aithal +2

Mild cognitive impairment (MCI), often linked to early neurodegeneration, is characterized by subtle cognitive declines and disruptions in brain connectivity. The present study off…

cs.CV2024

Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment

Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha +1

Mild cognitive impairment (MCI) is characterized by subtle changes in cognitive functions, often associated with disruptions in brain connectivity. The present study introduces a n…

cs.CV20242 cited

Non-linear Analysis Based ECG Classification of Cardiovascular Disorders

Suraj Kumar Behera, Debanjali Bhattacharya, Ninad Aithal +1

Multi-channel ECG-based cardiac disorders detection has an impact on cardiac care and treatment. Limitations of existing methods included variation in ECG waveforms due to the loca…

q-bio.NC2024

Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology

Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal +1

Recent advances in molecular and genetic research have identified a diverse range of brain tumor sub-types, shedding light on differences in their molecular mechanisms, heterogenei…

cs.CV2024

Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI

Ammu R., Debanjali Bhattacharya, Ameiy Acharya +2

In this study, we present a technique that spans multi-scale views (global scale -- meaning brain network-level and local scale -- examining each individual ROI that constitutes th…

cs.CV2023

Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision

Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya +1

Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. This work aims to investigate…