Tata Consultancy Services Limited

Nital Shah

Arpan Pal

Venkataramana Runkana

Rohan Banerjee

Parijat Dilip Deshpande

Anirban Dutta Choudhury

Sri Harsha Nistala

Kayapanda Muthana Mandana

Aditya Pareek

Sivakumar Subramanian

Anirudh Deodhar

Deepan Das

Rajan Kumar

Anagha Nikhil Mehrotra

Rohan Pandya

Vijay Anil Date

Ratnamala Manna

Moksha Sunil Padsalgi

Abhishek Krishnamoorthy Baikadi

A system and method for classifying the phonocardiogram (PCG) signal quality has been described. The system is configured to identify the quality of the PCG signal recording and accepting only diagnosable quality recordings for further cardiac analysis. The system includes the derivation of plurality features of the PCG signal from the training dataset. The extracted features are preprocessed and are then ranked using mRMR algorithm. Based on the ranking the irrelevant and redundant features are rejected if their mRMR strength is less. A training model is generated using the relevant set of features. The PCG signal of the person under test is captured using a digital stethoscope and a smartphone. The PCG signal is preprocessed and only the relevant set of features are extracted. And finally the PCG signal is classified into diagnosable or non-diagnosable using the relevant set of features and a random forest classifier.

Method and system for classifying phonocardiogram signal quality

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Pune, India

Nital Shah