A method of detecting at least one analyte in a test sample is provided comprising a) contacting the test sample (i) to an active chemistry matrix changing at least one electrochemical property dependent on an enzymatic activity active in the presence of the analyte, the active chemistry matrix contacting a first electrode; and (ii) to an inactive chemistry matrix, the inactive chemistry matrix contacting a second electrode, b) closing an electrical circuit including the first electrode, the second electrode, and the active chemistry matrix and inactive chemistry matrix, followed by determining a first value of the at least one electrochemical property, c) inverting electrical polarity of the electrical circuit of b), followed by determining a second value of the at least one electrochemical property, and d) detecting the at least one analyte based on the first value and on the second value.

Provided is a method for measuring a component of a biological sample with a biosensor provided with: a capillary for introducing the biological sample; an electrode part including a first electrode system that includes a first working electrode and a first counter electrode in the capillary; and a reagent part disposed so as to be in contact with the electrode part, the reagent part containing an enzyme and a mediator, and the method including a step of starting voltage application for a duration longer than 0 second and up to 0.7 second to the first electrode system within 0 second to 0.5 second after detection of the introduction of the biological sample to obtain a hematocrit value based on a current value obtained thereby.

Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.

The invention provides amperometric analyte sensor systems comprising one or more electrodes designed to monitor in vivo levels of 3-hydroxybutyrate (and optionally glucose as well) in order to facilitate the management of diabetic ketoacidosis. The invention further includes compositions, elements and methods useful with such amperometric analyte sensor systems.

A method for estimating a mapping of the concentration of an analyte in an environment uses sensors distributed in the environment. Each sensor generates a measurement of the analyte concentration at various measurement instants, which measurements are carried out by each sensor at each measurement instant, forming an observation vector, each term of which corresponds to a measurement arising from a sensor. The environment is spatially meshed with a plurality of mesh cells. The analyte concentration at each mesh cell, at each measurement instant, forms a “state vector,” each term of which corresponds to an analyte concentration in a mesh cell. A “global bias” is determined and used to correct the state vector to obtain a “debiased state vector.” The state vector is also corrected by a local correction vector as a function of a correction vector.

The present invention provides a method for accurately measuring a blood component despite uneven distribution of blood introduced into a capillary. The measurement method according to the present invention is characterized in that a plurality of electrode systems for measuring the hematocrit are provided in a capillary of a biosensor to measure the hematocrit at different positions in the capillary. By measuring the hematocrit at the plurality of positions in the capillary as described above, the hematocrit can be measured more accurately despite uneven distribution of blood introduced into the capillary.

This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Analyte measurement devices and methods of measuring an analyte in a sample. At least one of the methods include: applying an electrical analysis signal to the sample during a measurement time interval (MT), wherein the electrical analysis signal, when transferred into a frequency space, comprises a superposition of two or more non-zero frequency components at least at a sampling time; measuring at least one electrical response signal from the sample; analyzing the electrical response signal; and determining the amount of the analyte in the sample based on the analyzing.

Methods and biosensor systems for compensating an analyte measurement are provided. The methods and systems determine a secondary output signal based on the measured primary output signal in order to better approximate the effects of an extraneous stimulus on the primary output signal under actual measurement conditions. The methods and systems according to the present disclosure may provide a more accurate analyte measurement, and may be particularly useful in detecting and compensating an analyte measurement during an off-condition.

A method for configuring a device to determine a concentration of an analyte uses a plurality of m fluid samples, each having a corresponding known analyte concentration. The method includes, for each sample: generating an output signal from the sample; recording values of the signal over time; and modelling a subset of the values of the signal using n basis functions to obtain n coefficients. Each coefficient is associated with a corresponding basis function, the n basis functions and n coefficients representing the signal for the subset. The method also includes performing a statistical analysis of the m×n coefficients and corresponding known analyte concentrations to determine a set of n parameters from which an analyte concentration can be estimated based on a set of n coefficients obtained for a sample for which the analyte concentration is unknown; and storing the set of n parameters in a memory of a device.