Singapore, Singapore

Levin Chun Kiat Tan



Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations by Levin Chun Kiat Tan in ECG Signal Detection.

Introduction

Levin Chun Kiat Tan is an innovative inventor based in Singapore, known for his contributions to the field of medical technology. He has developed a unique method for detecting abnormalities in electrocardiogram (ECG) signals, which has significant implications for cardiac health monitoring.

Latest Patents

Levin holds a patent for a method of detecting abnormalities in ECG signals. This method involves receiving a set of ECG signals from an ECG device and amplifying only the peaks of these signals to produce ECG beat markings. From these markings, a heart rate can be derived to detect irregular rhythms between at least two ECG beats. The process includes extracting a single ECG beat from the set of signals, feeding it into a first neural network to produce a compact representation, and using a second neural network to generate a score associated with the abnormalities in the ECG signals. This innovative approach enhances the accuracy of ECG analysis and aids in timely medical interventions.

Career Highlights

Levin is currently associated with Cambridge Heartwear Limited, where he continues to work on advancing cardiac monitoring technologies. His expertise in signal processing and neural networks has positioned him as a valuable asset in the field of medical device innovation.

Collaborations

Levin collaborates with notable professionals in his field, including Rameen Shakur and Roberto Cipolla. These partnerships foster a creative environment that encourages the development of cutting-edge solutions in healthcare technology.

Conclusion

Levin Chun Kiat Tan's work in ECG signal detection exemplifies the intersection of technology and healthcare. His innovative methods contribute to improved patient outcomes and demonstrate the potential of artificial intelligence in medical diagnostics.

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