Kolkata, India

Shalini Mukhopadhyay

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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5 patents (USPTO):Explore Patents

Title: Shalini Mukhopadhyay: Innovator in Heart Rate and Breathing Pattern Estimation

Introduction

Shalini Mukhopadhyay is a prominent inventor based in Kolkata, India. She has made significant contributions to the field of health technology, particularly in the estimation of heart rate and breathing patterns using photoplethysmography (PPG) signals. With a total of five patents to her name, her work is paving the way for advancements in wearable health monitoring devices.

Latest Patents

Shalini's latest patents include a "Method and system for heart rate estimation of a user" and a "System and method for breathing pattern extraction from PPG signals." The heart rate estimation patent addresses the challenges of accurately measuring heart rate when a user is in motion. It utilizes Principal Component Analysis (PCA) to filter out noise from the PPG signal, thereby enhancing the accuracy of heart rate readings. The breathing pattern extraction patent focuses on designing a filter to isolate breathing patterns from PPG signals, which involves defining filter specifications and generating a transfer function to produce a filtered PPG signal indicative of the subject's breathing pattern.

Career Highlights

Shalini is currently employed at Tata Consultancy Services Limited, where she applies her expertise in health technology. Her innovative approaches have garnered attention in the industry, contributing to the development of more effective health monitoring solutions.

Collaborations

Some of her notable coworkers include Avik Ghose and Nasimuddin Ahmed, who collaborate with her on various projects within the company.

Conclusion

Shalini Mukhopadhyay's work in health technology exemplifies the impact of innovation on personal health monitoring. Her patents reflect a commitment to improving the accuracy and reliability of health data, which is essential for advancing wearable technology.

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