Method and apparatus for optimizing analyte sensor calibration including receiving a current blood glucose measurement, retrieving a time information for an upcoming scheduled calibration event for calibrating an analyte sensor, determining temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, initiating a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period, and overriding the upcoming scheduled calibration event using the current blood glucose measurement are provided.

A system includes signal acquisition circuitry and a processing unit. The signal acquisition circuitry is configured to receive multiple intra-cardiac signals acquired by multiple electrodes of an intra-cardiac probe in a heart of a patient. The processing unit is configured to select a group of the intra-cardiac signals, extract a respective most-likely annotation value from each of the intra-cardiac signals in the group, in accordance with a likelihood criterion, identify in the group an intra-cardiac signal whose most-likely annotation value is statistically deviant in the group by more than a predefined measure of deviation, extract, from the intra-cardiac signal having the statistically deviant annotation value, at least a second-most-likely annotation value in accordance with the likelihood criterion, and, responsive to a statistical deviation of the second-most-likely annotation value, select a valid annotation value for the corresponding intra-cardiac signal.

A biological information measuring device comprises: a plurality of sensors that each acquire a base signal containing biological information and noise information; and a processing device that acquires biological information on the basis of a plurality of base signals. The processing device comprises: a component analysis part that performs a prescribed component analysis on the basis of the plurality of base signals and generates a plurality of component signals which constitute the plurality of base signals; and a biological information acquisition part that determines whether a component signal is biological information.

A pulse wave analysis device includes a pulse wave acquisition unit, a venous pressure calculation unit, a parameter calculation unit, and an output. The pulse wave acquisition unit acquires a pulse wave of a living body. The venous pressure calculation unit calculates a venous pressure based on a waveform of the pulse wave in a predetermined period. The parameter calculation unit analyzes the waveform in the predetermined period and calculates at least one vital parameter for the living body. The output outputs a calculated venous pressure, a calculated vital parameter, and/or information on accuracy of the venous pressure based on the vital parameter.

There is provided a device and method of filtering outliers from physiological values. The method comprises: (a) populating a window with n physiological values taken, in sequence, from a sequence of physiological values, wherein n is a positive integer; (b) determining whether the variability in the physiological values within the window is less than a predetermined threshold; (c) responsive to the variability in the physiological values within the window being less than a predetermined threshold, determining that the window comprises no outliers, and/or responsive to the variability in the physiological values within the window not being less than a predetermined threshold, determining that the window comprises at least one outlier.

Described herein are systems, devices, and methods to assess and correct for instability of baseline pressure of pressure sensors applied for measuring pressures inside a human body or body cavity, such as intracranial pressure (ICP) and arterial blood pressure (ABP). The present disclosure includes systems for assessing instability of baseline pressure by computing differences in single pressure wave parameters between single pressure waves, calculating pressure stability levels, determining differences between pressure stability levels and creating baseline pressure indicator plots. The baseline pressure indicator plots define instability of baseline pressure as a function of defined thresholds applied to parameters of the pressure stability levels. The disclosure also provides means for correcting mean pressure caused by baseline pressure instability.

A fingerprint capture system, a fingerprint capture device, an image processing apparatus, a fingerprint capture method, and a storage medium that can acquire a high quality fingerprint image are provided. A disclosed example includes: a capture unit that captures a fingerprint; an image processing unit that processes a transferred fingerprint image captured by the capture unit; a display unit on which the fingerprint image transferred to the image processing unit is displayed; a recording unit where the fingerprint image transferred to the image processing unit is recorded by the image processing unit; and an instruction unit that inputs, in the image processing unit, a record instruction that instructs the image processing unit to record the fingerprint image in the recording unit. The image processing unit records, in the recording unit, the fingerprint image displayed on the display unit at the time the record instruction is input by the instruction unit.

A physiological monitor is provided for determining a physiological parameter of a medical patient with a multi-stage sensor assembly. The monitor includes a signal processor configured to receive a signal indicative of a physiological parameter of a medical patient from a multi-stage sensor assembly. The multi-stage sensor assembly is configured to be attached to the physiological monitor and the medical patient. The monitor of certain embodiments also includes an information element query module configured to obtain calibration information from an information element provided in a plurality of stages of the multi-stage sensor assembly. In some embodiments, the signal processor is configured to determine the physiological parameter of the medical patient based upon said signal and said calibration information.

Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may monitor heart rate data including heart rate variability, resting heart rate, and sleep quality. The systems may include a processing module that generates an indicator of physical recovery based on the heart rate data. The recovery indicator may be used to determine strain related to an exercise routine, qualitative information on the user's health, whether to alter a user's exercise plan, and so forth.

Tissue surface tracking of tissue features is disclosed. First surface imaged features are tracked based on the first and second time spaced images at a first wavelength. Second surface imaged features are tracked based on the first and second time spaced tissue surface images at the second wavelength. Tracking metrics are obtained based on the tracking steps. The tracking steps are combined to provide a combined tracking metric. The combined tracking metric is used in a tissue surface navigation application.