Michael T Manry

Title: Innovations in Health Monitoring: The Contributions of Michael T. Manry

Introduction

Michael T. Manry is an accomplished inventor based in Arlington, TX (US). He has made significant contributions to the field of health monitoring through his innovative patent. His work focuses on processing and analyzing physiological signals to detect health conditions, particularly in the realm of sleep disorders.

Latest Patents

Manry holds a patent for a method that develops a fuzzy logic system to detect non-normal health conditions. This patent, titled "Processing and analyzing physiological signals to detect a health condition," describes a comprehensive approach to signal processing and transformation of electrocardiogram (EKG) signals for sleep disorder breathing. The method includes several steps: recording EKG measurements during sleep, clipping the measurements into consistent lengths, calculating heart rate, and obtaining an evenly sampled discrete time series data clip. It also involves performing Short-Time Discrete Fourier Transform on each data clip, generating respective STDFT matrices, and encoding each matrix into a grey-level image. Furthermore, the process calculates Grey-Level Co-occurrence Matrices, extracts textural features, and performs statistical analysis to formulate rules. The system achieves an impressive accuracy of 75.88% or better in detecting sleep apnea.

Career Highlights

Michael T. Manry is affiliated with the University of Texas System, where he continues to contribute to research and innovation in health monitoring technologies. His work has implications for improving the diagnosis and treatment of sleep disorders, which affect millions of individuals worldwide.

Collaborations

Throughout his career, Manry has collaborated with notable colleagues, including Mohammad A. Al-Abed and Khosrow Behbehani. These collaborations have further enhanced the impact of his research and innovations in the field.

Conclusion

Michael T. Manry's contributions to health monitoring through his innovative patent demonstrate the potential of technology to improve health outcomes. His work in developing a fuzzy logic system for detecting sleep disorders is a testament to the importance of innovation in healthcare.