Abstract: A patient monitoring system may include a camera acquiring image data of an environment, a wearable device coupled to a patient and generating sensor data of physiological parameters of the patient, and a computing system communicatively coupled to the camera and the wearable device. The computing system may receive the image data from the camera, receive sensor data indicative of a physiological parameter of a patient, and identify the patient in the image data. The computing system may also associate the physiological parameter with the identified patient in the image data and generate a graphical user interface (GUI) displaying the image data with the physiological parameter overlaid on the displayed image data, where a location of the overlaid physiological parameter on the image data is based on a location of the identified patient in the image data.

Abstract: System and methods for non-contact monitoring in vehicles are described. The systems and methods may use depth sensing cameras as part of the non-contact monitoring system. In some embodiments, depth data from at least one depth sensing device that has a field of view of at least part of the interior of the vehicle is received, wherein the depth data represents depth information as a function of position across the field of view. The depth data is then processed to obtain further information related to the occupant within the vehicle.

Abstract: In some examples, a method includes receiving a signal indicative of a blood pressure of a patient and identifying at least one first portion of the signal comprising a first characteristic of the signal exceeding a first threshold. The method also includes identifying at least one first portion of the signal comprising a second characteristic of the signal exceeding a second threshold, the first characteristic being different than the second characteristic. The method further includes determining a filtered signal indicative of the blood pressure of the patient by excluding the at least one first portion and the at least one second portion from the signal. The method includes determining a set of mean arterial pressure values based on the filtered signal and determining an autoregulation status of the patient based on the set of mean arterial pressure values.

Abstract: Described herein are various embodiments of an informative display that may be used in conjunction with non-contact patient monitoring systems and methods. The informative display may include one or more patient data images providing historical and real time data relating the patient being monitored by the non-contact patient monitoring system. The patient data images may be configured to display visualizations of various patient events, such as low flow, apnea, and/or patient movement.

Abstract: The present invention relates to the field of medical monitoring, and in particular non-contact video monitoring to measure tidal volume of a patient. Systems, methods, and computer readable media are described for determining a region of interest of a patient and monitoring that region of interest to determine tidal volume of the patient. This may be accomplished using a depth sensing camera to monitor a patient and determine how their chest and/or other body parts are moving as the patient breathes. This sensing of movement can be used to determine the tidal volume measurement.

Abstract: A noninvasive blood pressure sensor may be activated based on data from one or more patient sensors, such as a pulse oximetry sensor. In an embodiment, when the sensor data is determined to be characteristic of or associated with a likely change in blood pressure, the noninvasive blood pressure sensor is activated to acquire a blood pressure measurement. A trained model may be used to determine a likelihood od the sensor dating being characteristic of or associated with the change in blood pressure.

Abstract: Implementations described herein disclose a method of classifying oxygen level desaturation events. In one implementation, the method includes receiving input signal sequences, the input signals indicative of a physiological condition of a patient, generating an input sequence of oxygen saturation levels based on the input signal sequence, comparing the input sequence of oxygen saturation levels to a desaturation alarm threshold to determine a desaturation event, generating an input feature matrix based on at least one of the input signal sequences and the input sequence of oxygen saturation levels, and classifying based on the input feature matrix, using a neural network, the desaturation event being a severe desaturation event (SDE) or a non-severe desaturation event (non-SDE).

Abstract: A computer-implemented method for targeted monitoring of a patient in a bed comprises: receiving an image of the bed; predicting, based on a posture of the patient in the image, a pressure score for one or more contact regions between the patient and the bed; and providing an indication of the pressure score for the one or more contact regions.

Abstract: A system for monitoring autoregulation may include processing circuitry configured to receive a blood pressure signal indicative of an acquisition blood pressure of a patient at an acquisition site and an oxygen saturation signal indicative of an oxygen saturation of the patient. The processing circuitry may determine a cerebral autoregulation status value based on the blood pressure signal and the oxygen saturation signal. The processing circuitry may determine a non-cerebral autoregulation status value based on the cerebral autoregulation status value and an adjustment value. The processing circuitry provide to an output device a signal indicative of the non-cerebral autoregulation status value and a signal indicative of the cerebral autoregulation status value to enable a clinician to monitor the autoregulation status of the patient.

Abstract: A method and system for performing a depth data processing procedure for obtaining physiological information from depth data. The depth processing procedure comprises obtaining depth data representing depth across a field of view, and deriving at least one signal from said depth data. The method further comprises: obtaining further information from at least one of: the depth data and the at least one signal derived from the depth data; using at least said further information to determine an absence of respiratory motion in the field of view; and setting a flag for the depth data processing procedure or a further procedure based on said determination of the absence of respiratory motion in the field of view.

Abstract: A method including determining, based on an image signal received from a camera focused on at least a portion of a patient, a breathing signal, determining an onset of a desaturation event for the patient and an onset of a bradycardia event for the patient, determining length of a bradycardia-desaturation (BD) period between the onset of the desaturation event for the patient and the onset of the bradycardia event for the patient, in response to determining that the length of the BD period is less than a BD time threshold, determining whether a change in of breathing of the patient within an apnea search period indicates an apnea event, and in response to determining that the change in of breathing of the patient within the apnea search period indicates an apnea event, displaying an occurrence of an apnea-bradycardia-desaturation event.

Abstract: In some examples, a system is configured to determine a non-cerebral autoregulation status value of a patient using machine learning. In some examples, processing circuitry of the system is configured to determine, using a neural network algorithm that has been trained via machine learning training, an individualized adjustment value that is individualized for the patient, including inputting physiological data associated with the patient. The processing circuitry may determine a non-cerebral autoregulation status of the patient based on a cerebral autoregulation value of the patient based on the non-cerebral autoregulation status value of the patient and the adjustment value.

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: 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.

Abstract: Vision-based stimulus monitoring and response systems and methods are presented, wherein detection, via image(s) of a patient through an external stimulus, such as a caregiver, prompts analysis of the response of the patient, via secondary patient sensors or via analysis of patient image(s), to determine an autonomic nervous system (ANS) state.

Abstract: Methods for improving the accurate determination of respiratory rate, the respiratory rate being measured or monitored from depth measurements from a non-contact monitoring system. The methods include analyzing a waveform obtained from a respiratory parameter and discarding data that does not meet criteria. The respiratory rate may be obtained from an original waveform, a processed waveform, or from a power spectrum derived from the original or processed waveform.

Abstract: A system for monitoring autoregulation includes an oxygen saturation sensor configured to obtain an oxygen saturation signal indicative of an oxygen saturation of a patient. The system also includes a controller having a processor configured to receive a blood pressure signal indicative of a blood pressure of the patient and the oxygen saturation signal, determine a change in the oxygen saturation signal and a change in the blood pressure signal over a period of time, and provide an indication that the patient's autoregulation is intact if the oxygen saturation changes by more than an oxygen saturation threshold and if the blood pressure changes by less than a blood pressure threshold during the period of time.

Abstract: An autoregulation monitoring device may display, on a graph on the display screen, a blood pressure signal of a patient; indicate, on the graph, an autoregulation threshold that separates an intact autoregulation area of the graph and an impaired autoregulation area of the graph. The device may indicate, on the graph, a plurality of threshold offsets that are each separated from the autoregulation threshold, wherein each one of the plurality of threshold offsets is selectable by a user. The device may receive an indication of user input that corresponds to selection of a threshold offset from the plurality of threshold offsets and may update the autoregulation threshold on the graph based on the selected threshold offset.

Abstract: The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.

Abstract: A patient monitoring system may include processing circuitry configured to receive an indication of a surgical event, obtain a nociception parameter of a patient, compare the nociception parameter of the patient to a nociception threshold to detect a nociception event, determine whether the surgical event corresponds to the nociception event, and in response to determinizing whether the surgical event corresponds to the nociception event, provide an indication to adjust an amount of analgesic administered to the patient.