Abstract:
Methods and systems are presented for indicating the proximity of a process requirement metric to a corresponding system process requirement in a physiological monitor. Metrics are determined based on a received physiological signal, such as a PPG signal. At least one of the metrics is compared to a corresponding system process requirement, such as a threshold, which can be used to trigger a system process, such as an alarm, a recalibration, or a measurement. The proximity of the metric to the corresponding system process requirement is calculated and indicated. Indicating the proximity to a system process requirement may provide valuable information to clinicians and allow them to manually trigger system processes, such as measurements or recalibrations, when a metric is close to a system process requirement for a significant period of time.
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.
Abstract:
In some examples, a computing system tracks, across a plurality of predictions, prediction performance of a first oxygen saturation prediction model used by one or more patient monitoring devices by comparing a respective prediction made by the first oxygen saturation prediction model to a corresponding ground truth. The computing system determines whether the prediction performance of the first oxygen saturation prediction model meets a performance metric, wherein the performance metric includes an accuracy level, a specificity level, a sensitivity level, or any combination thereof. The computing system may, in response to determining that the prediction performance of the first oxygen saturation prediction model does not meet the performance metric, cause the one or more patient monitoring devices to switch to a second oxygen saturation prediction model to predict future oxygen saturation levels of one or more patients.
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:
The present invention relates to the field of medical monitoring, and in particular non-contact monitoring and communication with other medical monitoring devices. Systems and methods are described for receiving a video signal of a medical monitoring device that is outputting a light signal, identifying the light signal emitted by the medical monitoring device from the video signal, decoding information from the light signal, and determining a communication from the decoded information related to a patient being monitored or the medical monitoring device itself.
Abstract:
A patient monitor for monitoring cerebral activity of a patient may include a processor configured to determine a depth of consciousness index for the patient based on electroencephalography (EEG) data and determine regional oxygen saturation for the patient based on regional oximetry data. Additionally, the processor may be configured to determine a metric associated with cerebral activity of the patient based at least in part on the one or more values of the depth of consciousness index and the one or more regional oxygen saturation values and to provide the one or more values of a depth of consciousness index and the metric to an output device.
Abstract:
Systems and methods for non-contact monitoring are disclosed herein. An example system includes at least one depth determining device configured to determine depth data representing depth across a field of view; a processor configured to process the depth data to obtain time varying depth or physiological information associated with respiration and/or another physiological function; and a projector configured to project one or more images into the field of view, wherein at least part of the one or more images is based on the obtained time varying depth or physiological information.
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:
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:
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.