Abstract:
What is disclosed is a system and method for determining whether a patient has an acute respiratory infection. In one embodiment, the present method involves using a handheld device to acquire an audio signal of a sound made by a patient coughing. The audio signal is then communicated, by the handheld device, to a remote computing device. Upon receiving the audio signals, signal are repeatedly retrieved from a database of signals associated with different severities of various acute respiratory conditions. A comparison is made between the received audio signal and the retrieved signals. As a result of the comparison, a determination is made whether the patient has an acute respiratory infection. An audio playback device may be employed for playing the audio signal so that a medical professional can listen to that audio signal and facilitate the determination. Various embodiments are disclosed.
Abstract:
What is disclosed is a system and method for compensating for motion induced artifacts in physiological signals extracted from a video of a subject being monitored for a physiological function in a non-contact, remote sensing environment. The present method identifies a center frequency from a physiological signal obtained from processing a prior video segment. Since a moment to moment change in pulse frequency from one video segment to a next is not very large, signals obtained from sequential video segments can be repeatedly processed and an adaptive band-pass filter repeatedly re-configured and used to filter a next video segment, and so on. Using the teachings disclosed herein, a motion-compensated continuous cardiac signal can be obtained for the subject for continuous monitoring of the subject's cardiac function via video imaging. The teachings hereof provide an effective means for compensating for movement by the subject during video acquisition. Various embodiments are disclosed.
Abstract:
What is disclosed is a system and method for extracting photoplethysmographic (PPG) signal (i.e., a cardiac signal) on a continuous basis from a time-series signals obtained from video images captured of a subject being monitored for cardiac function in a non-contact remote sensing environment involves the following. First, a time-series signal obtained from video images captured of a region of exposed skin where a photoplethysmographic (PPG) signal of a subject of interest can be registered. A sliding window is then used to define consecutive sequential segments of the time-series signal for processing. Each of the consecutive time-series signal segments is detrended such that low frequency variations and non-stationary components are removed. The detrended signals are processed to obtain, for each segment, a PPG signal. The PPG signal segments are then stitched together using a stitching method, as disclosed herein, to obtain a continuous PPG signal for the subject.