Non-invasive detection of coronary heart disease from short single-lead ECG

US11051741B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Rohan Banerjee · Sherghati, IN
• Sakyajit Bhattacharya · Bengaluru, IN
• Soma Bandyopadhyay · Sherghati, IN
• Aniruddha Sinha · Narayanpur, IN

Key dates

• Filing date: Aug 30, 2019
• Grant date: Jul 6, 2021
• Expiry date: Dec 3, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/70
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Electrocardiography (ECG) signals contain important markers for Coronary Heart Disease (CHD). State of the art systems and methods rely on clinically available multi-lead ECG for CHD classification which is not cost effective. Moreover the state of the art methods are applied on digital ECG time series data only. Also, discriminative HRV markers are not often present in short ECG recordings necessitating long hours of ECG data to analyze. In accordance with the present disclosure, systems and methods described hereinafter extract ECG time series from ECG images obtained from commercially available low-cost single lead ECG devices through a combination of image and signal processing steps including Histogram analysis, Morphological operation-thinning, Extraction of lines, Extraction of Reference Pulse, Extraction of ECG and interpolating missing data. Further, domain independent statistical features such as self-similarity of raw ECG time series and average Maharaj's distance along with domain specific features are used for classifying CHD.