Systems and methods for detecting pulmonary abnormalities using lung sounds

US10966681B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Shreyasi Datta · Sherghati, IN
• Anirban Dutta Choudhury · Sherghati, IN
• Parijat Deshpande · Sherghati, IN
• Sakyajit Bhattacharya · Bengaluru, IN
• Arpan Pal · Sherghati, IN

Key dates

• Filing date: Mar 5, 2018
• Grant date: Apr 6, 2021
• Expiry date: Feb 3, 2039

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B5/0816
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Identification of pulmonary diseases involves accurate auscultation as well as elaborate and expensive pulmonary function tests. Also, there is a dependency on a reference signal from a flowmeter or need for labelled respiratory phases. The present disclosure provides extraction of frequency and time-frequency domain lung sound features such as spectral and spectrogram features respectively that enable classification of healthy and abnormal lung sounds without the dependencies of prior art. Furthermore extraction of wavelet and cepstral features improves accuracy of classification. The lung sound signals are pre-processed prior to feature extraction to eliminate heart sounds and reduce computational requirements while ensuring that information providing adequate discrimination between healthy and abnormal lung sounds is not lost.