Abstract: In some examples, a patient care pathway is coupled with a cytokine release syndrome (CRS) prediction system. A CRS prediction machine learning model is used to analyze patient-related health data associated with a monitored user, such as a patient. The health data includes physiological data obtained from sensor devices associated with the monitored patient and user-provided data associated with the monitored patient. A CRS event prediction indicates the probability of an occurrence of a CRS event within a time-period after the prediction is generated. A CRS event that is predicted or detected in progress is graded to indicate a predicted severity. An outcome can also be generated indicating whether the patient's condition is predicted to improve within the future time-period, enabling more accurate early detection of CRS events for improved patient outcomes. In some examples, the prediction can facilitate a patient care pathway for improved, safer, and more cost-effective care.

Abstract: A method and system for providing health-monitoring alarm management have been disclosed. In a first aspect, the method comprises detecting at least one vital sign signal using a wearable sensor device and managing an alarm mechanism of the wearable sensor device based on the at least one vital sign signal. In a second aspect, the system comprises a sensor for detecting at least one vital sign signal, a processor coupled to the sensor, and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to manage an alarm mechanism of the wearable sensor device based on the at least one vital sign signal.

Abstract: A wireless wearable sensor device, system, method, and non-transitory computer readable medium for screening for structural heart disease based on electrocardiogram, phonocardiogram, and/or accelerometer signals on a patient's skin surface.

Abstract: A method and system for determining a respiratory rate of a user using an electrocardiogram (ECG) segment of the user are disclosed. The method comprises decomposing the ECG segment into a plurality of functions and evaluating the plurality of functions to choose one of the plurality of functions based on a respiratory band power. The method includes determining the respiratory rate using the one of the plurality of functions and a domain detection.

Abstract: A wireless wearable sensor device, system, method, and non-transitory computer readable medium for screening for structural heart disease based on electrocardiogram, phonocardiogram, and/or accelerometer signals on a patient's skin surface.

Abstract: A method and system for detecting pacing pulses originating from implanted pacemaker using surface Electrocardiogram (ECG) signals measured at a relatively low sampling rate and also rejecting the pacing artifacts from the recorded surface ECG signals.

Abstract: A method and system for determining a signal quality metric of a cardiovascular time series utilizing a wireless sensor device are disclosed. In a first aspect, the method comprises determining subsequent values of the cardiovascular time series and comparing the determined subsequent values to a threshold value. In a second aspect, a wireless sensor device comprises a processor and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to determine subsequent values of the cardiovascular time series and compare the determined subsequent values to a threshold value.

Abstract: A method and system for sleep apnea detection are disclosed. The method comprises detecting at least one respiratory signal and utilizing a detection algorithm to automatically detect at least one sleep apnea event from the at least one respiratory signal. The system includes a sensor to determine at least one respiratory signal, a processor coupled to the sensor, and a memory device coupled to the processor, wherein the memory device includes a detection algorithm and an application that, when executed by the processor, causes the processor to utilize the detection algorithm to automatically determine at least one sleep apnea event from the at least one respiratory signal.

Abstract: A method and system for detecting pacing pulses originating from implanted pacemaker using surface Electrocardiogram (ECG) signals measured at a relatively low sampling rate and also rejecting the pacing artifacts from the recorded surface ECG signals.

Abstract: A biosensor screening system and method is disclosed that assesses functional integrity/capacity of biosensor samples and identifies the biosensor samples that may potentially cause failure such as shutdown of biosensor during normal use. Features of the disclosed biosensor screening system and method may include connecting to a biosensor to a biosensor screening test apparatus, conducting a biosensor screening test using the biosensor screening apparatus on the biosensor connected to the biosensor screening test apparatus, collecting data attributes from the biosensor after completing the biosensor test, scaling the collected data attributes, and obtaining a screening test score.

Abstract: System and method for validating algorithms used in medical devices is disclosed. As disclosed, the system and method include generating a synthetic waveform, inputting the generated synthetic waveform to the testing device, capturing an output values for the input values generating synthetic waveform from the testing device; and comparing the output values to the input values to determine performance metrics of the testing device to validate the algorithm on the testing device.

Abstract: A Noninvasive Blood Pressure (NIBP) device, method, and system may employ one or more sensors configured to sense physiological changes associated with cardiovascular function and provide signals corresponding to the sensed physiological changes; one or more signal detectors to detect an ECG signal, a PPG signal, and a PCG signal from the signals provided by the one or more sensors; a computational system configured to derive signal features related to the detected signal waveforms; process the signal features to determine measurements of noninvasive blood pressure using one or more independent prediction models; and output a result of the determination.

Abstract: A wireless wearable sensor device, method, and non-transitory computer readable medium for determining patient body temperature based on a skin temperature and sensor ambient air temperature is disclosed.

Abstract: A biosensor screening system and method is disclosed that assesses functional integrity/capacity of biosensor samples and identifies the biosensor samples that may potentially cause failure such as shutdown of biosensor during normal use. Features of the disclosed biosensor screening system and method may include connecting to a biosensor to a biosensor screening test apparatus, conducting a biosensor screening test using the biosensor screening apparatus on the biosensor connected to the biosensor screening test apparatus, collecting data attributes from the biosensor after completing the biosensor test, scaling the collected data attributes, and obtaining a screening test score.

Abstract: A method and system for determining psychological acute stress are disclosed. In a first aspect, the method comprises detecting a physiological signal using a wireless sensor device, determining a stress feature using a normalized heart rate and a plurality of heart rate variability (HRV) features, wherein the normalized heart rate and the plurality of heart rate variability features are calculated using the detected physiological signal, and determining a stress level using the stress feature to determine the psychological acute stress. In a second aspect, the system comprises a wireless sensor device that includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the wireless sensor device to carry out the steps of the method.

Abstract: A method and system for determining energy expenditure (EE) are disclosed. The method comprises determining a plurality of sensor streams using a plurality of detected physiological signals and processing the plurality of sensor streams to determine the EE. The system includes at least one sensor to detect a plurality of physiological signals, a processor coupled to the at least one sensor, and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to determine a plurality of sensor streams using a plurality of detected physiological signals and to process the plurality of sensor streams to determine the EE.

Abstract: A wireless wearable sensor device, system, method, and non-transitory computer readable medium for screening for structural heart disease based on electrocardiogram, phonocardiogram, and/or accelerometer signals on a patient's skin surface.

Abstract: A method and system for continuously monitoring basal heart rate are disclosed. The method comprises detecting a plurality of physiological signals of a user and in response to determining that the user is inactive, filtering the plurality of physiological signals to provide a set of data. The method further includes calculating the basal heart rate of the user using the set of data and an algorithmic process. The system includes at least one sensor to detect a plurality of physiological signals of a user, a processor coupled to the at least one sensor, and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to carry out the steps of the method.

Abstract: A method and system for determining a respiratory rate of a user using an electrocardiogram (ECG) segment of the user are disclosed. The method comprises decomposing the ECG segment into a plurality of functions and evaluating the plurality of functions to choose one of the plurality of functions based on a respiratory band power. The method includes determining the respiratory rate using the one of the plurality of functions and a domain detection.

Abstract: System and method for validating algorithms used in medical devices is disclosed. As disclosed, the system and method include generating a synthetic waveform, inputting the generated synthetic waveform to the testing device, capturing an output values for the input values generating synthetic waveform from the testing device; and comparing the output values to the input values to determine performance metrics of the testing device to validate the algorithm on the testing device.