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: Use of non-contact monitoring systems to monitor a subject (e.g., baby, infant, child) in a sleeping or resting environment. The systems identify the position of the subject and alert a caregiver if the subject is in a potentially hazardous position, such as lying prone (on their front) or if the subject has remained in the same position for a period of time longer than a threshold time. The non-contact monitoring systems can be configured to detect a physical attribute (e.g., respiration rate, tidal volume, pulse, etc.).

Abstract: The disclosed technology provides image-based patient monitoring by capturing a first image, by an image capture sensor, of a predefined region of a patient at a first time, capturing a second image, by the image capture sensor, of the predefined region of the patient at a second time, determining whether the first captured image and the second captured image satisfy a non-respiratory motion condition, the non-respiratory motion condition based in part on a predefined relationship between captured images and motion of a patient attributable to patient actions other than respiration of the patient, classifying a motion of the patient as non-respiratory motion when the non-respiratory motion condition is satisfied, and transmitting an instruction to display an indication of veracity of a respiratory measurement of the patient measured between the first time and the second time based on the classified motion.

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: 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: 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: 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: Systems and methods for aiding a clinician in the proper positioning, placing or otherwise locating of a non-contact detector component of a non-contact patient monitoring system are described. The systems and methods may employ a targeting aid superimposed on a display screen component of the non-contact patient monitoring system, the targeting aid being designed to assist the clinician in properly locating the non-contact detector for proper and accurate functioning of the non-contact patient monitoring system. The systems and methods described herein may also employ a bendable mounting arm to which the non-contact detector is attached such that the non-contact detector can be easily moved into the proper location when used in conjunction with the targeting aid superimposed on the display.

Abstract: In some examples, a system includes an oxygen saturation sensing device configured to sense an oxygen saturation level of a patient and processing circuitry. The processing circuitry may be configured to receive a signal indicative of the oxygen saturation level of the patient, determine that the signal indicates the oxygen saturation level is at or below a desaturation threshold, and in response to determining the oxygen saturation level of the patient is at or below the desaturation threshold, 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: Methods and systems for non-contact monitoring of a patient to determine cardiac information about the patient, for example, heart rate or pulse. The methods and systems can additionally monitor respiratory parameters if desired. The methods and systems of this disclosure utilize light intensity of reflected features (e.g., IR, UV, RBG, or other light) to determine the cardiac parameter and can also utilize the light intensity of reflected features to determine the respiratory parameter. The same or a different respirator parameter can be determined by depth (distance) information.

Abstract: Methods and systems for non-contact monitoring of a patient to determine respiratory parameters such as respiration rate, tidal volume, minute volume, oxygen saturation, and other parameters such as motion or activity. The systems and methods receive a first, video signal from the patient and from that extract a distance or depth signal from the relevant area to calculate the parameter(s) from the depth signal. The systems and methods also receive a second, light intensity signal from an IR feature projected onto the patient, and from that calculate the parameter(s) from the light intensity signal. The parameter(s) from the two signals can be combined or compared to provide a qualified output parameter.

Abstract: Methods and systems for monitoring a patient's position using non-contact patient monitoring systems are described. In some embodiments, depth sensing cameras are used to obtain depth images of a patient, wherein data can be extracted from the depth images and processed in various ways to make a determination as to the patient's position, including monitoring when and how often a patient changes position. Various alarms systems can also be integrated into the systems and methods described herein in order to alert clinicians regarding, for example, patients moving too infrequently, patients moving too frequently, or patients moving into undesirable positions in view of the condition being treated. AI-based patient monitoring systems used for determining patient position are also described.

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 an oxygen saturation sensing device configured to sense an oxygen saturation level of a patient and processing circuitry. The processing circuitry may be configured to receive a signal indicative of the oxygen saturation level of the patient, determine that the signal indicates the oxygen saturation level is at or below a desaturation threshold, and in response to determining the oxygen saturation level of the patient is at or below the desaturation threshold, 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.