Pune, India

Vijay Anil Date


 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations by Vijay Anil Date

Introduction

Vijay Anil Date is an accomplished inventor based in Pune, India. He has made significant contributions to the field of medical technology, particularly in the analysis of phonocardiogram signals. His innovative work focuses on improving the quality of cardiac signal recordings, which is crucial for accurate diagnosis and treatment.

Latest Patents

Vijay Anil Date holds a patent for a "Method and system for classifying phonocardiogram signal quality." This patent describes a system designed to identify the quality of phonocardiogram (PCG) signal recordings. The system ensures that only recordings of diagnosable quality are accepted for further cardiac analysis. It involves deriving multiple features from the PCG signal using a training dataset, preprocessing these features, and ranking them using the mRMR algorithm. Irrelevant and redundant features are rejected based on their mRMR strength. A training model is then generated using the relevant features. The PCG signal is captured using a digital stethoscope and a smartphone, and it is classified into diagnosable or non-diagnosable categories using a random forest classifier.

Career Highlights

Vijay Anil Date is currently employed at Tata Consultancy Services Limited, where he continues to work on innovative projects in the field of technology and healthcare. His expertise in signal processing and machine learning has positioned him as a valuable asset in his organization.

Collaborations

Vijay has collaborated with talented individuals such as Deepan Das and Rohan Banerjee. Their combined efforts have contributed to the advancement of technology in their respective fields.

Conclusion

Vijay Anil Date's contributions to the field of medical technology through his innovative patent demonstrate his commitment to improving healthcare solutions. His work in classifying phonocardiogram signal quality is a testament to the impact of innovation in medical diagnostics.

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