Abstract: The present technology 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. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.

Abstract: In some examples, a device includes processing circuitry configured to determine a set of correlation coefficient values for first and second physiological parameters. The processing circuitry is further configured to determine a metric of the correlation coefficient values for a first plurality of bins and for a second plurality of bins, wherein each bin of the first plurality has a first bin parameter and each bin of the second plurality of bins has a second bin parameter different than the first bin parameter. The processing circuitry is also configured to determine a composite estimate of a limit of autoregulation of the patient based on the metric for the first plurality of bins and the metric for the second plurality of bins. The processing circuitry is configured to determine an autoregulation status based on the composite estimate and output, for display via the display, an indication of the autoregulation status.

Abstract: An example system includes a thermal camera, a memory, and processing circuitry coupled to the thermal camera and the memory. The processing circuitry is configured to acquire a core temperature of a patient and acquire a first thermal image associated with the patient. The processing circuitry is configured to determine, based on the first thermal image, a first sensed temperature of a location associated with the patient. The processing circuitry is configured to determine a core temperature delta between the core temperature and the first sensed temperature. The processing circuitry is configured to acquire a second thermal image associated with the patient. The processing circuitry is configured to determine, based on the second thermal image, a second sensed temperature. The processing circuitry is configured to determine, based on the second sensed temperature and the core temperature delta, a measure of the core temperature.

Abstract: In some examples, a system includes processing circuitry configured to determine that an oxygen saturation level of a patient is at or below a desaturation threshold, and, in response, determine whether the oxygen saturation level is at or below the desaturation threshold at the end of a calculation period. The processing circuitry may, in response to determining that the oxygen saturation level of the patient is at or below the desaturation threshold at the end of the calculation period, predict, using an oxygen saturation prediction model, whether the oxygen saturation level of the patient will increase above the desaturation threshold by the end of a predefined time period. In response to predicting that the oxygen saturation level of the patient will increase above the desaturation threshold by the end of the predefined time period, the processing circuitry refrains from outputting an indication of the patient experiencing an oxygen desaturation event.

Abstract: This disclosure is directed to devices, systems, and techniques for monitoring one or more patient conditions. For example, a system includes a memory and processing circuitry communicatively coupled to the memory. The processing circuitry is configured to receive, from a sensor, an electrical representation of a first optical signal and control a pressure device to apply pressure to the patient in order to affect one or more physiological parameters proximate to the sensor. Additionally, the processing circuitry is configured to receive, from the sensor after applying the pressure to the patient, an electrical representation of a second optical signal; and determine, based on the electrical representation of the first optical signal and the electrical representation of the second optical signal, one or more patient conditions.

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 light sensing device includes a first light source configured to emit light within a first wavelength range, a second light source configured to emit light within a second wavelength range, detector circuitry, a first photodetector in the detector circuitry configured to detect the light within the first wavelength range, and a second photodetector in the detector circuitry configured to detect the light within the second wavelength range. The first photodetector and the second photodetector are in parallel in the detector circuitry such that the detector circuitry sums electrical signals outputted by the first photodetector and the second photodetector.

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: 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: 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: A thermal camera system is used to derive cardiac and respiratory signals or information via extraction of cardiac and/or respiratory signals from a thermal signal at a region of interest (ROI), by a peak picking analysis of the thermal signal, or via analysis of a wavelet transform of the thermal signal.

Abstract: System and methods for non-contact video-based patient monitoring are described. The systems and methods may include locating one or more condensation removal elements on a transparent enclosure for removal of condensation that may be obstructing the view between a video camera used to monitor a patient and the patient. The systems and methods may further include steps for monitoring the quality of the video stream and automatically initiating the condensation removal elements when a deterioration in the quality of the video stream is detected.

Abstract: An example system includes a thermal camera, a memory, and processing circuitry coupled to the thermal camera and the memory. The processing circuitry is configured to acquire a core temperature of a patient and acquire a first thermal image associated with the patient. The processing circuitry is configured to determine, based on the first thermal image, a first sensed temperature of a location associated with the patient. The processing circuitry is configured to determine a core temperature delta between the core temperature and the first sensed temperature. The processing circuitry is configured to acquire a second thermal image associated with the patient. The processing circuitry is configured to determine, based on the second thermal image, a second sensed temperature. The processing circuitry is configured to determine, based on the second sensed temperature and the core temperature delta, a measure of the core temperature.

Abstract: Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem for pulmonary procedures. In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in guiding a surgical device(s) toward and within a lung of the patient to perform a pulmonary procedure, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the lung of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.

Abstract: Methods for enhancing the image of a subject, such as a patient, in a video non-contact monitoring system to provide an enhanced image with clear distinction of the subject from the background. The methods include applying a histogram equalization transform, such as a contrast limited adaptive histogram equalization (CLAHE) transform, to the depth data obtained from a camera of the monitoring system. In some embodiments, the enhanced image of the subject is merged with an overlay image of a monitored physiological parameter determined by the non-contact patient monitoring system.

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: Implementations illustrated herein discloses a method of controlling drug titration to a patient, the method including receiving, using a processor, a sequence of depth images, each depth image including depth information for at least a portion of the patient, determining, using the processor, a sequence of physiological signals for the patient based on the sequence of depth images, analyzing, using the processor, the sequence of physiological signals for the patient to determine a change in a condition of the patient, and generating a signal to a drug infusion pump in response to determining the change in the condition of the patient.

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: System and methods for video-based neonatal patient monitoring are described. Methods for neonatal patient monitoring can generally include use of a non-contact detector, such as a depth-sensing camera, to obtain data pertaining to the neonate that can then be used to calculate or otherwise determine a neonate patient breathing parameter, such as respiratory volume. The method further includes monitoring the breathing parameter to identify the occurrence of a neonate breathing event, such as apnea, and initiating a neonate stimulation event when a breathing event is identified. The stimulation event can include, e.g., vibration, auditory signals, visual signals, and/or other types of tactile signals. The systems and methods can use additional monitoring apparatus to monitor additional neonate health parameters, and incorporate this additional information into the decision of when a stimulation event should be initiated.

Abstract: An example device for determining one or more transient decelerations includes a memory configured to store a sensed pulse rate signal indicative of one or more sensed pulse rates and processing circuitry. The processing circuitry is configured to determine that an amplitude threshold is crossed by a sensed pulse rate signal indicative of one or more sensed pulse rates. The processing circuitry also is configured to, from a time the amplitude threshold is crossed, determine that a pulse rate returns to within a range of a baseline pulse rate within a number of samples or a time period. The processing circuitry is also configured to, based on the pulse rate returning to within the range of the baseline pulse rate, from the time the amplitude threshold is crossed, within the number of samples or the time period, determine a transient deceleration.