Abstract: A method for generating a module configured to determine concentration of an analyte in a sample of a body fluid is disclosed. The method includes providing a first set of measurement data derived from images of one or more test strips indicating a color transformation in response to a body fluid containing an analyte. The images can be recorded by multiple devices with differing cameras, software and/or hardware device configurations for image recording and image data processing. A neural network model can be generated in a machine learning process applying an artificial neural network and a module configured to determine concentration of an analyte in a second sample of a body fluid can be generated. Further, the present disclosure includes a system for generating the module as well as a method and a system for determining concentration of an analyte in a sample of a bodily fluid.

Abstract: A method is disclosed for determining concentration of an analyte in a body fluid with a mobile device having a camera. The camera captures an image of an optical test strip having a test field. The analyte concentration value is determined from color formation of the test field. Provided in the mobile device is a correlation for transforming color formation of the test field into analyte concentration. Also provided in the mobile device is an item of clearance information indicating a level of confidence for the correlation. When the item of clearance information indicates a sufficient level of confidence for the correlation, the mobile device indicates to a user that the capturing of the image does not require using a color reference card. Further disclosed are a method of controlling analytical measurements, a mobile device, a system for controlling analytical measurements and computer programs for performing and/or controlling analytical measurements.

Abstract: A method for adjusting a measurement setup used in an analytical method. The method includes a plurality of users carrying out analyte measurements that involve capturing images of an optical test strip having a test field and obtaining training data. The training data is then used to identify similarities and to identify a plurality of user profiles according to the similarities. Then, profile-specific measurement setup adjustments for at least one of the user profiles are provided for the individual user profile. An analytical method, an adjustment system and a mobile device are also disclosed.

Abstract: A test meter and method for detecting the presence and/or concentration of an analyte in a liquid biological sample. The meter includes an internal cavity receiving a test strip. A pressure sensor is arranged and configured to sense a pressure exerted by the inserted test strip relative to the meter housing. A controller receives signals corresponding to the sensed pressure, compares the signal to a pressure threshold value, and indicates when the sensed pressure exceeds the pressure threshold value. The method is for detecting the application of an undue pressure applied against a test strip relative to a meter, and includes receiving a test strip in a meter in a position adjacent a pressure sensor, using the sensor to sense the pressure applied by the inserted test strip relative to the meter, and comparing the sensed pressure to a predetermined threshold value.

Abstract: A method for generating a module configured to determine concentration of an analyte in a sample of a body fluid is disclosed. The method includes providing a first set of measurement data derived from images of one or more test strips indicating a color transformation in response to a body fluid containing an analyte. The images can be recorded by multiple devices with differing cameras, software and/or hardware device configurations for image recording and image data processing. A neural network model can be generated in a machine learning process applying an artificial neural network and a module configured to determine concentration of an analyte in a second sample of a body fluid can be generated. Further, the present disclosure includes a system for generating the module as well as a method and a system for determining concentration of an analyte in a sample of a bodily fluid.

Abstract: Medical device data manager configuration methods and systems including a medical device, a smart mobile device including a camera, a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use the camera of the smart mobile device to capture an image of the medical device; apply an identification algorithm to the image of the medical device; identify the medical device as an identified medical device based on the image of the medical device and the identification algorithm; and automatically configure a software application tool on the smart mobile device to retrieve data associated with one or more requirements of the identified medical device.

Abstract: Medical device data manager configuration methods and systems including a medical device, a smart mobile device including a camera, a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use the camera of the smart mobile device to capture an image of the medical device; apply an identification algorithm to the image of the medical device; identify the medical device as an identified medical device based on the image of the medical device and the identification algorithm; and automatically configure a software application tool on the smart mobile device to retrieve data associated with one or more requirements of the identified medical device.

Abstract: A test meter and method for detecting the presence and/or concentration of an analyte in a liquid biological sample. The meter includes an internal cavity receiving a test strip. A pressure sensor is arranged and configured to sense a pressure exerted by the inserted test strip relative to the meter housing. A controller receives signals corresponding to the sensed pressure, compares the signal to a pressure threshold value, and indicates when the sensed pressure exceeds the pressure threshold value. The method is for detecting the application of an undue pressure applied against a test strip relative to a meter, and includes receiving a test strip in a meter in a position adjacent a pressure sensor, using the sensor to sense the pressure applied by the inserted test strip relative to the meter, and comparing the sensed pressure to a predetermined threshold value.

Abstract: The present invention is a method and apparatus for non-invasive, real-time monitoring of the autonomic nervous systems. The present invention allows for monitoring of the autonomic nervous system using spectral analysis of both heart rate and respiratory signals. A preferred embodiment uses short-time Fourier transform (STFT) with a novel modified Bartlett windowing scheme in real-time so that the dynamic interactions between the sympathetic and parasympathetic divisions of the autonomic nervous system can be independently monitored. In addition, a preferred embodiment of the present invention uses the same techniques to monitor other biological or physiological data, including continuous blood pressure.

Abstract: The present invention is a method and apparatus for non-invasive, real-time monitoring of the autonomic nervous systems. The present invention allows for monitoring of the autonomic nervous system using spectral analysis of both heart rate and respiratory signals. A preferred embodiment uses short-time Fourier transform (STFT) with a novel modified Bartlett windowing scheme in real-time so that the dynamic interactions between the sympathetic and parasympathetic divisions of the autonomic nervous system can be independently monitored. In addition, a preferred embodiment of the present invention uses the same techniques to monitor other biological or physiological data, including continuous blood pressure.

Abstract: A medical device and method for predicting cardiac arrhythmias, by gathering electrocardiographic data such as intervals between heart beats (RR-series) or other signal, mathematically decomposing or compressing the signal into several elements or components that contain the most significant information and tracking the changes in the several elements. The signal may be divided into time windows, and the signals decomposed into a plurality of coefficients or components such as Karhunen Loeve Transformation (KLT) coefficients that are predictive of the occurrence of a cardiac arrhythmia. The electrocardiographic data may be generated real-time, on-line, or be prerecorded data.

Abstract: A medical device and method for predicting life-threatening cardiac arrhythmias (LTCA) by gathering electrocardiographic data such as intervals between heart beats (RR-series) or other signal, mathematically decomposing or compressing the signal into several elements or components that contain the most significant information and tracking the changes in the several elements. The signal may be divided into time windows, and the signals decomposed into a plurality of coefficients or components such as Karhunen Loeve Transformation (KLT) coefficients that are predictive of the occurrence of LTCA. The electrocardiographic data may be generated real-time, on-line, or be prerecorded data.