A system, method and apparatus is disclosed, comprising a biomathetical model for optimizing cognitive performance in the face of sleep deprivation that integrates novel and nonobvious biomathematical models for quantifying performance impairment for both chronic sleep restriction and total sleep deprivation; the dose-dependent effects of caffeine on human vigilance; and the pheonotypical response of a particular user to caffeine dosing, chronic sleep restriction and total sleep deprivation in user-friendly software application which itself may be part of a networked system.

Camera-based respiratory triggered medical scanning is provided. A camara captures an image or images of a patient. A processor detects breathing from the camera image or images. Detected breathing is used to automatically trigger the medical scan. An extra breathing sensor is not needed. Manual monitoring is not relied upon.

Camera-based respiratory triggered medical scanning is provided. A camara captures an image or images of a patient. A processor detects breathing from the camera image or images. Detected breathing is used to automatically trigger the medical scan. An extra breathing sensor is not needed. Manual monitoring is not relied upon.

A sensing system includes a first radar sensing assembly and an analysis system. The first radar sensing assembly measures plural distances to a first target location at different times using radar. The analysis system receives the plural distances from the first radar sensing assembly and quantifies movements of a target object at the first target location at the different times by calculating differences in the plural distances measured by the first radar sensing assembly. The analysis system generates one or more first quantified activity level values indicative of the movements of the target object at the first target location using the differences in the plural distances that are calculated.

A method is provided. The method is implemented by a device orientation engine being executed by one or more processors. The method includes determining a movement between each electrode group of a catheter to provide movements and determining a total movement of electrodes of the catheter. The method also includes removing a standard component from the movements and the total movement and outputting a movement indication for the catheter based on the movements and the total movement with the standard component.

A method is provided. The method is implemented by a device orientation engine being executed by one or more processors. The method includes determining a movement between each electrode group of a catheter to provide movements and determining a total movement of electrodes of the catheter. The method also includes removing a standard component from the movements and the total movement and outputting a movement indication for the catheter based on the movements and the total movement with the standard component.

In general, according to one embodiment, one aspect of the apparatus comprising a sensor configured to acquire biological signals of a user, the biological signals including first signals and second signals, reliability of the first signals being relatively higher than reliability of the second signals, and a controller configured to activate an alarm, if a ratio of a time period of first signals to a time period of the biological signals is less than a first threshold.

Adaptive respiratory condition assessment can include capturing signals generated by sensors of a portable device positioned to sense a user's body. The sensors can generate the signals in response to sensor-detected movements of the user's body measured along multiple axes and corresponding to lung activity in the user's body during respiratory cycles. A preferred axis of measurement can be selected using signal processing performed by a signal processor embedded in the portable device. Waveforms generated from signals corresponding to signals generated in response to movements of the user's body measured along the preferred axis can be filtered for extracting biomarkers from the waveforms using the signal processor. The one or more biomarkers extracted correspond to the lung activity. Based on the biomarkers, a respiratory condition of the user can be determined. A notification based on the respiratory condition as determined can be generated and conveyed with the portable device.

A blood pressure data processing apparatus including a peak selection unit, a frequency component suppression unit, a respiratory fluctuation calculation unit, an attenuation amount calculation unit, and a respiratory cycle determination unit. The frequency component suppression unit suppresses components of the selected peak frequency within the first spectrum, and generates a second spectrum. The respiratory fluctuation calculation unit calculates a first respiratory fluctuation in second blood pressure data, and calculates a second respiratory fluctuation in third blood pressure data, which is a time domain representation of the second spectrum. The attenuation amount calculation unit calculates an attenuation amount of the second respiratory fluctuation relative to the first respiratory fluctuation. The respiratory cycle determination unit determines a cycle corresponding to the selected peak frequency as a respiratory cycle of a user if the attenuation amount is greater than a threshold.

A blood pressure data processing apparatus including a peak selection unit, a frequency component suppression unit, a respiratory fluctuation calculation unit, an attenuation amount calculation unit, and a respiratory cycle determination unit. The frequency component suppression unit suppresses components of the selected peak frequency within the first spectrum, and generates a second spectrum. The respiratory fluctuation calculation unit calculates a first respiratory fluctuation in second blood pressure data, and calculates a second respiratory fluctuation in third blood pressure data, which is a time domain representation of the second spectrum. The attenuation amount calculation unit calculates an attenuation amount of the second respiratory fluctuation relative to the first respiratory fluctuation. The respiratory cycle determination unit determines a cycle corresponding to the selected peak frequency as a respiratory cycle of a user if the attenuation amount is greater than a threshold.