System and method for physiological monitoring and feature set optimization for classification of physiological signal

US11589760B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Arijit Ukil · Sherghati, IN
• Soma Bandyopadhyay · Sherghati, IN
• Chetanya Puri · Sherghati, IN
• Rituraj Singh · Sherghati, IN
• Arpan Pal · Sherghati, IN
• Debayan Mukherjee · Sherghati, IN

Key dates

• Filing date: Dec 1, 2017
• Grant date: Feb 28, 2023
• Expiry date: Sep 16, 2040

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04R29/00
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

This disclosure relates generally to physiological monitoring, and more particularly to feature set optimization for classification of physiological signal. In one embodiment, a method for physiological monitoring includes identifying clean physiological signal training set from an input physiological signal based on a Dynamic Time Warping (DTW) of segments associated with the physiological signal. An optimal features set is extracted from a clean physiological signal training set based on a Maximum Consistency and Maximum Dominance (MCMD) property associated with the optimal feature set that strictly optimizes on the objective function, the conditional likelihood maximization over different selection criteria such that diverse properties of different selection parameters are captured and achieves Pareto-optimality. The input physiological signal is classified into normal signal components and abnormal signal components using the optimal features set.