Method and system for generating synthetic time domain signals to build a classifier

US12106196B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Sakyajit Bhattacharya · Bengaluru, IN
• Oishee Muzumder · Sherghati, IN
• Aniruddha Sinha · Narayanpur, IN
• Dibyendu Roy · Sherghati, IN
• Avik Ghose · Sherghati, IN

Key dates

• Filing date: Mar 9, 2021
• Grant date: Oct 1, 2024
• Expiry date: Jul 10, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N5/01
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

State of the art systems and methods attempting to generate synthetic biosignals such as PPG generate patient specific PPG signatures and do not correlate with pathophysiological changes. Embodiments herein provide a method and system for generating synthetic time domain signals to build a classifier. The synthetic signals are generated using statistical explosion. Initially, a parent dataset of actual sample data of class and non-class subjects is identified, and statistical features are extracted. Kernel density estimate (KDE) is used to vary the feature distribution and create multiple data template from a single parent signal. PPG signal is again reconstructed from the distribution pattern using non-parametric techniques. The generated synthetic data set is used to build the two stage cascaded classifier to classify CAD and Non CAD, wherein the classifier design enables reducing bias towards any class.