Tao-Yi Lee

Title: Innovations of Tao-Yi Lee in ECG Monitoring

Introduction

Tao-Yi Lee is an accomplished inventor based in Irvine, California. He has made significant contributions to the field of medical technology, particularly in the area of electrocardiogram (ECG) monitoring. His innovative approach combines deep learning techniques with physiological signal monitoring to enhance accuracy and efficiency.

Latest Patents

Tao-Yi Lee holds a patent for a "Deep neural network (DNN) assisted sensor for energy-efficient electrocardiogram (ECG) monitoring." This invention focuses on an energy-efficient method of monitoring physiological signals while maintaining high accuracy. The method involves a Deep Neural Network (DNN) that receives an uncompressed sample of a continuous ECG signal from a sensor. The DNN determines the probabilities of the sample being abnormal or normal and decides whether to transmit the sample based on a defined threshold of abnormality.

Career Highlights

Tao-Yi Lee is affiliated with the University of California, where he continues to advance research in medical technology. His work emphasizes the integration of artificial intelligence with healthcare applications, aiming to improve patient monitoring systems.

Collaborations

Tao-Yi Lee collaborates with Nikil Dutt, a fellow researcher, to further explore innovative solutions in the field of ECG monitoring and related technologies.

Conclusion

Tao-Yi Lee's contributions to ECG monitoring through his patented technology exemplify the intersection of artificial intelligence and healthcare. His work not only enhances the accuracy of physiological monitoring but also paves the way for future innovations in medical technology.