Sensors and method for defining breathing signatures for identifying respiratory disease
AssigneeArizona Board of Regents on Behalf of the University of Arizona
InventorMarvin J. Slepian
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AssigneeArizona Board of Regents on Behalf of the University of Arizona
InventorMarvin J. Slepian
Estimating the term…
A lung function analysis system includes motion sensing devices each including accelerometers, gyros, battery, processor, and ireless transmitter, the processor configured to read motion data from the accelerometers and gyros and transmit the motion data over the wireless transmitter. The system includes a data collection device receiving the motion data and recording the motion data in a database; and a computing device with a lung function data analysis routine adapted to analyze the motion data to provide information useful in treating pulmonary disease. In embodiments, the lung function analysis routine includes a classifier trained on a database of motion data and diagnoses. In embodiments, the accelerometers and gyros are three-axis and/or the devices include electromyographic sensors. In embodiments, the system includes remote sensors such as a stereo camera with or without markers, millimeter-wave radar, or an ultrasonic echolocation device. In embodiments the information produced may include FEV1, FVC, FEV1/FVC and FEF25/75.
A method of obtaining lung function parameters comprising forced vital capacity (FVC), forced expiratory volume in one second (FEV1), tidal volume, vital capacity, maximal mid expiratory flow (MMEFR), forced expiratory flow (FEF25-75), or forced vital capacity in a subject comprising:
A lung function analysis system comprising:
Dependencies are inferred from the claim text.