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Avik Ghose

5 accepted papers

2023

A Patient Invariant Model Towards the Prediction of Freezing of Gait

ICASSP 2023accepted

Freezing of Gait (FoG) is one of the incapacitating motor symptoms that appear in patients with Parkinson’s Disease (PD). FoG manifests gait impairments and imposes unforeseen difficulties in commencing the locomotion. Frequent episodes of FoG often lead to fall-related injuries and impart dreadful…

Cited by 0SourceScholar
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

A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder

ICASSP 2020accepted

Abnormal heart sounds may have diverse frequency characteristics depending upon underlying pathological conditions. Designing a binary classifier for predicting normal and abnormal heart sounds using supervised learning requires a lot of training data, covering different types of cardiac abnormaliti…

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
2015

Noise cleaning and Gaussian modeling of smart phone photoplethysmogram to improve blood pressure estimation

ICASSP 2015accepted

Photoplethysmography (PPG) signals, captured using smart phones are generally noisy in nature. Although they have been successfully used to determine heart rate from frequency domain analysis, further indirect markers like blood pressure (BP) require time domain analysis for which the signal needs t…

Cited by 0SourceScholar