Siteng Chen

Title: Innovations of Siteng Chen in Electrocardiogram Monitoring

Introduction

Siteng Chen is an accomplished inventor based in Tucson, Arizona. He has made significant contributions to the field of medical technology, particularly in the area of electrocardiogram (ECG) monitoring. His innovative work focuses on utilizing neural networks to enhance the detection of cortical arousal events.

Latest Patents

Siteng Chen holds a patent for a "Neural-network based electrocardiogram monitor and associated methods." This patent describes systems and methods that detect cortical arousal events from a single time-varying ECG signal obtained via single-lead ECG. A pre-trained deep neural network transforms the ECG signal into a sequence of cortical-arousal probabilities. The deep neural network incorporates an inception module, a residual neural network, and a long short-term memory neural network to identify structures in the ECG signal that distinguish periods of cortical arousal from periods without cortical arousal.

Career Highlights

Chen's career is marked by his dedication to advancing medical technology through innovative research. He is affiliated with the University of Arizona, where he continues to explore the applications of neural networks in healthcare.

Collaborations

Some of his notable coworkers include Janet Roveda and Ao Li, who contribute to the collaborative efforts in research and development within the field.

Conclusion

Siteng Chen's work in neural-network based ECG monitoring represents a significant advancement in medical technology. His innovative approach has the potential to improve the accuracy of detecting cortical arousal events, thereby enhancing patient care.