Data Sciences International, Inc.

University of Minnesota

Transoma Medical, Inc.

Richard A Fundakowski

Brian P Brockway

Robert V Brockway

Gregory P Doten

Robert C Fitch

Meletios Geokezas

Panos G Michalopoulos

A system and method obtains a respiration parameter of an animal or human, such as respiratory rate, from a blood pressure, volumetric blood flow, blood velocity or stroke volume signal from a sensor for the animal or human. Specifically, the signal is processed to develop an amplitude versus time waveform. A sequence of selected features derived from individual cardiac cycles of the amplitude versus time waveform over a selected time interval are extracted from the developed amplitude versus time waveform. A mathematical model is fitted to the extracted sequence of selected features to yield a fitted mathematical model. The physiologic parameter information is computed from the fitted mathematical model.

Respiration monitoring system based on sensed physiological parameters

A system and method obtains physiologic parameter information of an animal or human, such as respiratory rate, from a blood pressure signal from an implanted blood pressure sensor in the animal or human. Specifically, the blood pressure signal is externally signal processed to develop an amplitude versus time waveform. A sequence of selected blood pressure features derived from individual cardiac cycles of the amplitude versus time waveform over a selected time interval are extracted from the developed amplitude versus time waveform. A mathematical model is fitted to the extracted sequence of selected blood pressure features to yield a fitted mathematical model. The physiologic parameter information is computed from the fitted mathematical model.

Respiration monitoring system based on sensed blood pressure variations

A vehicle detection system for providing data characteristic of traffic conditions includes a camera overlooking a roadway section for providing video signals representative of the field (traffic scene), and a digitizer for digitizing these signals and providing successive arrays of pixels (picture elements) characteristic of the field at successive points in space and time. A video monitor coupled to the camera provides a visual image of the field of view. Through use of a terminal and in conjunction with the monitor, an operator controls a formatter so as to select a subarray of pixels corresponding to specific sections in the field of view. A microprocessor then processes the intensity values representative of the selected portion of the field of view in accordance with spatial and/or temporal processing methods to generate data characteristic of the presence and passage of vehicles. This data can be utilized for real-time traffic surveillance and control, or stored in memory for subsequent processing and evaluation of traffic flow conditions.

Vehicle detection through image processing for traffic surveillance and

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Saint Paul, MN, United States of America

Richard A Fundakowski