Abstract:
A system for determining respiratory effort of an individual may include a pressure signal determination module configured to determine a physiological pressure signal of the individual, a wavelet transform module configured to transform the physiological pressure signal into a scalogram using at least one wavelet transform, and a respiratory effort determination module configured to determine the respiratory effort of the individual through an analysis of scalogram.
Abstract:
A physiological monitoring system may use photonic signals at one or more wavelengths to determine physiological parameters. During monitoring, a physiological sensor may become improperly positioned, which may affect the physiological attenuation of the photonic signals, and accordingly a detected light signal. The detected light signal may include an ambient light component and a signal component corresponding to the one or more wavelengths of light. The physiological monitoring system may determine a reference characteristic based on the ambient light component, and compare the signal component with the ambient light component to determine a sensor-off condition.
Abstract:
A physiological monitoring system may use photonic signals at one or more wavelengths to determine physiological parameters. During monitoring, a physiological sensor may become improperly positioned, which may affect the physiological attenuation of the photonic signals, and accordingly a detected light signal. The detected light signal may include an ambient light component and a signal component corresponding to the one or more wavelengths of light. One or both components may exhibit an interference signal component caused by environmental light. The physiological monitoring system may analyze the interference signal components to determine a sensor-off condition.
Abstract:
Methods, systems, and devices for measuring respiratory parameters from an ECG device are described. The method may include receiving an electrocardiogram (ECG) signal associated with a patient. The method may further include detecting a change in modulation of the ECG signal between a first portion of the ECG signal and a second portion of the ECG signal. The method may further include determining a change in respiratory effort of the patient based at least in part on the change in modulation.
Abstract:
The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.
Abstract:
A method for monitoring autoregulation includes, using a processor, receiving a blood pressure signal an oxygen saturation signal, and a regional oxygen saturation signal from a patient. The method also includes normalizing the regional oxygen saturation signal to correct for variation in the oxygen saturation signal based on a relationship between the oxygen saturation signal and the regional oxygen saturation signal. The method further includes determining a linear correlation between the blood pressure signal and the normalized regional oxygen saturation signal. The method still further includes providing a signal indicative of the patient's autoregulation status to an output device based on the linear correlation.
Abstract:
The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals. Examples include flood fill methods and skin tone filtering methods.
Abstract:
A combined physiological sensor and methods for detecting one or more physiological characteristics of a subject are provided. The combined sensor (e.g., a forehead sensor) may be used to detect and/or calculate at least one of a pulse blood oxygen saturation level, a regional blood oxygen saturation level, a respiration rate, blood pressure, an electrical physiological signal (EPS), a pulse transit time (PTT), body temperature associated with the subject, a depth of consciousness (DOC) measurement, any other suitable physiological parameter, and any suitable combination thereof. The combined sensor may include a variety of individual sensors, such as electrodes, optical detectors, optical emitters, temperature sensors, and/or other suitable sensors. The sensors may be advantageously positioned in accordance with a number of different geometries. The combined sensor may also be coupled to a monitoring device, which may receive and/or process one or more output signals from the individual sensors to display information about the medical condition of the subject. In addition, several techniques may be employed to prevent or limit interference between the individual sensors and their associated input and/or output signals.
Abstract:
A system configured to monitor autoregulation includes a medical sensor configured to be applied to a patient and to generate a regional oxygen saturation signal. The system includes a controller having a processor configured to receive the regional oxygen saturation signal and a blood pressure signal and to determine a cerebral oximetry index (COx) based on the blood pressure signal and the regional oxygen saturation signal. The processor is also configured to apply a data clustering algorithm to cluster COx data points over a range of blood pressures, identify a first cluster of COx data points that corresponds to an intact autoregulation zone for the patient, and provide a first output indicative of the intact autoregulation zone for the patient.
Abstract:
A combined physiological sensor and methods for detecting one or more physiological characteristics of a subject are provided. The combined sensor (e.g., a forehead sensor) may be used to detect and/or calculate at least one of a pulse blood oxygen saturation level, a regional blood oxygen saturation level, a respiration rate, blood pressure, an electrical physiological signal (EPS), a pulse transit time (PTT), body temperature associated with the subject, a depth of consciousness (DOC) measurement, any other suitable physiological parameter, and any suitable combination thereof. The combined sensor may include a variety of individual sensors, such as electrodes, optical detectors, optical emitters, temperature sensors, and/or other suitable sensors. The sensors may be advantageously positioned in accordance with a number of different geometries. The combined sensor may also be coupled to a monitoring device, which may receive and/or process one or more output signals from the individual sensors to display information about the medical condition of the subject. In addition, several techniques may be employed to prevent or limit interference between the individual sensors and their associated input and/or output signals.