Kolkata, India

Kayapanda Muthana Mandana


 

Average Co-Inventor Count = 6.2

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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9 patents (USPTO):Explore Patents

Title: Innovations by Kayapanda Muthana Mandana

Introduction

Kayapanda Muthana Mandana is a notable inventor based in Kolkata, India. He has made significant contributions to the field of medical technology, holding a total of nine patents. His work focuses on innovative methods for health monitoring and disease detection.

Latest Patents

One of his latest patents is a method and system for early detection of COVID-19. This invention addresses the limitations of existing methods that require data from multiple sensors for training a prediction model. Mandana's approach utilizes data from a Photoplethysmography (PPG) sensor, which is seamlessly collected from a wearable device. This allows for accurate COVID-19 predictions by monitoring changes in health over consecutive days. Another significant patent is a system and method for classifying phonocardiogram (PCG) signal quality. This system identifies the quality of PCG signal recordings and accepts only those that are diagnosable for further cardiac analysis. It employs a random forest classifier to categorize the PCG signal into diagnosable or non-diagnosable based on relevant features.

Career Highlights

Kayapanda Muthana Mandana is currently employed at Tata Consultancy Services Limited, where he continues to innovate in the field of health technology. His work has garnered attention for its practical applications in improving patient care and early disease detection.

Collaborations

Some of his coworkers include Arpan Pal and Rohan Banerjee, who contribute to the collaborative environment that fosters innovation at Tata Consultancy Services Limited.

Conclusion

Kayapanda Muthana Mandana's contributions to medical technology through his patents demonstrate his commitment to advancing health monitoring solutions. His innovative methods have the potential to significantly impact early disease detection and patient care.

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