Alan S Wong

Title: Alan S Wong: Innovator in Electrocardiographic Technology

Introduction

Alan S Wong is a notable inventor based in Escondido, California. He has made significant contributions to the field of electrocardiography, holding a total of 5 patents. His work focuses on enhancing the display and analysis of physiological signals, particularly in relation to abnormal ECG beats.

Latest Patents

Wong's latest patents include a method and apparatus for enhancing CRT screen markings. This innovation improves the visual representation of abnormal ECG beats on a CRT storage tube by utilizing an arrhythmia computer to detect and classify these beats. The system marks their locations with symbols generated by a character generating circuit, enhancing visual clarity through periodic resetting of the character generator.

Another significant patent is a method and apparatus for displaying electrocardiographic signals. This advanced system processes physiological signals for two-dimensional display on an oscilloscope, annotating them with time-of-day and patient information. It effectively marks detected abnormal physiological events without losing signal fidelity through a three-pass process. The display can accommodate two independent channels of physiological signals, ensuring maximum clarity and detail.

Career Highlights

Throughout his career, Alan S Wong has worked with various companies, including Del Mar Avionics, Inc. His expertise in the field has allowed him to develop innovative solutions that enhance the understanding and visualization of critical physiological data.

Collaborations

Wong has collaborated with notable individuals in his field, including Andrew I Lisiecki and Mitchell S Karwan. These partnerships have contributed to the advancement of technologies in electrocardiography and related areas.

Conclusion

Alan S Wong's contributions to the field of electrocardiography through his patents and collaborations highlight his role as an innovator. His work continues to impact the way physiological signals are analyzed and displayed, enhancing medical diagnostics and patient care.