Method and system for cuffless blood pressure estimation using photoplethysmogram features and pulse transit time

US10980429B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Sushmita Paul · Sherghati, IN
• Anirban Dutta Choudhury · Sherghati, IN
• Shreyasi Datta · Sherghati, IN
• Arpan Pal · Sherghati, IN
• Rohan Banerjee · Sherghati, IN
• Kayapanda Mandana · Sherghati, IN

Key dates

• Filing date: Feb 21, 2018
• Grant date: Apr 20, 2021
• Expiry date: Aug 19, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A method and system for blood pressure (BP) estimation of a person is provided. The system is estimating pulse transit time (PTT) using the ECG signal and PPG signal of the person. A plurality of features are extracted from the PPG. The plurality of PPG features and the PTT are provided as inputs to an automated feature selection algorithm. This algorithm selects a set of features suitable for BP estimation. The selected features are fed to a classifier to classify the database into low/normal BP range and a high BP range. The correctly classified normal BP data are then used to create a regression model to predict BP from the selected features. The current methodology uses automated feature selection mechanism and also employs a block to reject extreme BP data. Thus the available accuracy in predicting BP is expected to be more than the existing BP estimation methods.