SUMMARY

Ph.D. in Electrical Engineering with emphasis in control theory and signal processing. 

University Teaching Experience - Graduate and Under Graduate Electrical Engineering courses (Circuits, Adv. Math, Linear Systems, Digital Control) 

Industry experience included electronic hardware design, control and guidance system analysis and medical electronics hardware and software. 

Experience in design and implementation of signal processing, closed loop control, Kalman Filtering and pattern recognition algorithms.

EDUCATION

Ph.D. in Electrical Engineering, University of Idaho,
M.S.E.E. University of Southern California.

B.S.E.E. Loyola University at Los Angeles.

ACCOMPLISHMENTS

Automated ECG arrhythmia detection system using K-L transforms.

Life threatening arrhythmia detector based on sequential hypotheses testing algorithm.  

Algorithms for vital signs monitors including:

·         Invasive pressure measurement including IIR and FIR digital filter design.

·         Non-invasive-blood-pressure prediction and smoothing algorithm using Kalman Filter. Two patents for this design.

·         Closed loop PI digital controller for control of cuff pressure.

·         Algorithm for synchronous detection of pressure pulses using ECG synchronization.

PUBLICATIONS

Dorsett, T.J., Purviance, J.E., Denney, D.M., "Comparison of Several Speech Coding Algorithms", International Symposium on Circuits and System. Aug. 1986.

Dorsett, T.J., "Application of a Smoothing and Prediction Algorithm to Non-Invasive Blood Pressure Measurement", IEEE Symposium on Engineering in Medical and Biological Systems, Nov. 1991. 

Dorsett, T.J., Guilak, F., Taylor, L.A., "A Real-Time Arrhythmia Detection System Using the Karhunen Loeve Transform and Sequential Hypothesis Testing", IEEE Symposium on Engineering in Medical and Biological Systems, Sept. 1995.

PATENTS

Nelson, Dorsett, Davis, "Method for Non-Invasive Blood Pressure Measurement by Evaluation of Waveform-Specific Area Data", Patent No. 4,889,133.