← Search

Sawon Pratiher

5 accepted papers

2025

Sparse-to-Dense Body Surface Potential Mapping using A Structural Similarity-Enhanced Attention GAN

ICASSP 2025accepted

Body surface potential (BSP) mapping (BSPM) from reduced lead sparse electrocardiogram (ECG) signals is of high clinical relevance. Cost-efficient and non-invasive cardiac activity localization of myocardial infarction scars and arrhythmic sources are a few of its potential applications. However, mo…

Cited by 0SourceScholar
2023

Parasympathetic-Sympathetic Causal Interactions and Perceived Workload for Varying Difficulty Affective Computing Tasks

ICASSP 2023accepted

Coherence between the parasympathetic (PNS) and sympathetic (SNS) nervous systems is essential for regulating the intrinsic physiologic processes of the autonomic nervous system. This paper proposes a Granger causality (GC)-based ad-hoc statistical framework to analyze the causality between the PNS…

Cited by 0SourceScholar
2022

A Dilated Residual Vision Transformer for Atrial Fibrillation Detection from Stacked Time-Frequency ECG Representations

ICASSP 2022accepted

Atrial fibrillation (AF), the most frequent type of cardiac arrhythmia, has no apparent clinical symptoms in most cases for patients, making it more challenging to diagnose. However, the alterations in regular heart rhythm with an absence of visible P-waves in an Electrocardiogram (ECG) are often ch…

Cited by 0SourceScholar
2021

Improving Stability of Adversarial Li-ion Cell Usage Data Generation using Generative Latent Space Modelling

ICASSP 2021accepted

The quality and quantity of cell usage data (CUD) availability are crucial for reliable lithium-ion (Li-ion) battery modeling. Further, the model needs to encompass the non-linear and complex system dynamics, such as diverse aging mechanisms and dynamic operating characteristics. In general, the CUD…

Cited by 0SourceScholar
2019

Diving Deep onto Discriminative Ensemble of Histological Hashing & Class-Specific Manifold Learning for Multi-class Breast Carcinoma Taxonomy

ICASSP 2019accepted

Histopathological images (HI) encrypt resolution dependent heterogeneous textures & diverse color distribution variability, manifesting in micro-structural surface tissue convolutions & inherently high coherency of cancerous cells posing significant challenges to breast cancer (BC) multi-classificat…

Cited by 0SourceScholar