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Sakyajit Bhattacharya

3 accepted papers

2021

A Patient-Invariant Model for Freezing of Gait Detection Aided by Wavelet Decomposition

ICASSP 2021accepted

Freezing of Gait (FoG) is a paroxysmal and devitalizing symptom associated with Parkinson’s disease (PD). Episodes of FoG impedes gait and augments fall propensity, often leading to serious fall-injury. In this paper, we present a method for online detection of FoG using a wearable motion sensor. Th…

Cited by 0SourceScholar
2020

Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG

ICASSP 2020accepted

Synthetic data generation has recently emerged as a substitution technique for handling the problem of bulk data needed in training machine learning algorithms. Healthcare, primarily cardiovascular domain is a major area where synthetic physiological data can be used improve accuracy of machine lear…

Cited by 0SourceScholar
2018

Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram

ICASSP 2018accepted

In this paper we propose a feature extraction algorithm for classifying Coronary Artery Disease (CAD) patients from Photoplethysmogram (PPG) signals. Several domain-independent features, representing inherent properties of a time series are explored in our study. These are combined with Heart Rate V…

Cited by 0SourceScholar