Abstract: A method and system for automatically determining bed-time periods are disclosed. The method comprises detecting at least one physiological signal, determining a posture angle and an activity level using the at least one detected physiological signal, and determining a bed-time period using both the posture angle and the activity level. 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 detect a posture angle using at least one of the plurality of detected physiological signals and to determine a bed-time period using both the posture angle and the activity level.

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 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 system, device and method of calibrating a sensor determine a sensor vector associated with a subject; process the sensor vector; determine a sensor elevation angle as a prediction of the subject's body elevation from a result of processing the sensor vector; and perform calibration using the sensor vector, sensor elevation angle, and a gravity vector.

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 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 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 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 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 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 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: Systems and methods that enable physiological monitoring with a mobile communication device and that allow detection of motion artifacts so that the results reported are of acceptable quality are disclosed.

Abstract: A method and system for Sleep Apnea Syndrome (SAS) screening are disclosed. The method comprises detecting at least one physiological signal, converting the at least one physiological signal into at least one sensor stream, and processing the at least one sensor stream to perform the SAS screening. The system includes a sensor to detect at least one physiological signal, a processor coupled to the 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 convert the at least one physiological signal into at least one sensor stream and to processor the at least one sensor stream to perform the SAS screening.

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: An apparatus and method for non-invasive monitoring and detection of sudden changes in cardiovascular hemodynamics, in which a PPG signal is obtained from a patient, a time-frequency spectrum (TFS) is computed from the PPG signal, instantaneous modulations at a plurality of time points defining a curve of a prominent frequency of oscillation are extracted from the TFS, a peak power spectral density sequence is computed using the instantaneous modulations, and instantaneous peak values for following prominent frequency oscillations are monitored.

Abstract: A method and system for determining Apnea-Hypopnea Index (AHI) values are disclosed. The method comprises determining at least one sensor stream using at least one detected physiological signal, and processing the at least one sensor stream to automatically determine the AHI values. The system includes a sensor to detect at least one physiological signal, a processor coupled to the 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 at least one sensor stream using at least one detected physiological signal and to process the at least one sensor stream to automatically determine the AHI values.

Abstract: A method and system for Sleep Apnea Syndrome (SAS) screening are disclosed. The method comprises detecting at least one physiological signal, converting the at least one physiological signal into at least one sensor stream, and processing the at least one sensor stream to perform the SAS screening. The system includes a sensor to detect at least one physiological signal, a processor coupled to the 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 convert the at least one physiological signal into at least one sensor stream and to processor the at least one sensor stream to perform the SAS screening.

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: Methods and systems for quantitatively detecting the presence of artifacts in physiological measurement data and for determining usable data among those that have been designated to be corrupted with artifacts are presented.

Abstract: An apparatus and method is provided that provide, in real-time, an accurate detection and warning of dangerous blood or fluid loss to warn of impending hypovolemia, by non-invasive monitoring and processing of photoplethysmography data.