Abstract:
PROBLEM TO BE SOLVED: To provide a miniaturized optical analytical system which can continuously analyze body fluid of a patient. SOLUTION: The sensor section has a hollow space extending from the distal end to the proximal end, wherein a needle array having at least one hollow needle suitable for lancing at the distal end. The proximal end of the needle is opened into a chamber in which liquid that enters through the distal end of the needle can be collected. A window which can be at least partially permeable to an infrared ray comes in direct contact with the chamber. By this sensor, the component concentration in body fluid can be measured based on the principle of ATR (attenuated total reflection). COPYRIGHT: (C)2007,JPO&INPIT
Abstract:
The invention relates to analysis methods for diagnosing diseases on human and animal samples. Said invention also relates to an evaluation method for diagnosing the individual stages of a disease in such a way that it is possible to display the progression thereof. Said invention also makes it possible to identify diseases in an early manner and to carry out therapeutic controls. The inventive method consists in carrying out actually known multivariable evaluation methods for classifying samples. Nevertheless, the invention is characterised in that no sample is allocated to a certain class, but it is classified in a data record based on the interpolation between different classes.
Abstract:
The invention relates to a method for evaluating a set of measurement data from an oral glucose tolerance test, wherein the set of measurement data contains a sequence of measurement data of the glucose concentration and, in addition, at least one sequence of measured values of a further analyte concentration. Provision is made according to the invention that, from the sequence of measured values of the glucose concentration and from in each case one of several predefined glucose sample profiles, in each case a value of a similarity measure is calculated that quantifies the similarity between the time profile of the sequence of measured values of the glucose concentration and the relevant glucose sample profile, and, from the sequence of measured values of the further analyte concentration and from several predefined analyte sample profiles, in each case a value of a further similarity measure is calculated that quantifies the similarity between the profile of the sequence of measured values of the further analyte concentration and the relevant analyte sample profile, the set of data is characterized, in a vector space having coordinate axes formed from the similarity measures, by a point whose coordinates contain the calculated values of the similarity measures, and the position of this point in relation to reference points that each represent a defined state of health is evaluated, in order to calculate a parameter that indicates the state of the glucose metabolism of the patient.
Abstract:
The lancet has a body (2) provided with a tip (3) for making an incision. The body has a capillary type channel (4) for extracting body fluid in a direction of flow (F) from the incision. The channel is formed by a slot that runs along the body perpendicular to the direction of flow. A test area is provided for visually examining a body fluid specimen conveyed from the channel. The area is formed as a section of the slot, and has a transparent component (30) with a moistening surface for moistening with the specimen to be examined. The slot is made of steel. An independent claim is also included for a pricking system for making an incision, comprising a pricking device.
Abstract:
Un procedimiento para evaluar un conjunto de datos de medición de una prueba oral de tolerancia a la glucosa, en el que el conjunto de datos de medición contiene una secuencia de datos de medición de la concentración de glucosa y adicionalmente al menos una secuencia de valores de medición de otra concentración de analito, caracterizada por que un valor de una medida de similitud se calcula a partir de la secuencia de valores medidos de concentración de glucosa y uno de varios de los perfiles de referencia de glucosa predeterminados, que cuantifica la similitud entre el perfil de tiempo de la secuencia de mediciones de concentración de glucosa y el perfil de referencia de glucosa pertinente, un valor de otra medida de similitud se calcula a partir de la secuencia de valores medidos de otra concentración de analito y varios perfiles de referencia de analito predeterminados, que cuantifica la similitud entre el perfil de la secuencia de valores medidos de la otra concentración de analito y el perfil de referencia del analito pertinente, el conjunto de datos en un espacio vectorial que tiene ejes de coordenadas formados por las medidas de similitud se caracteriza por un punto cuyas coordenadas incluyen los valores calculados de las medidas de similitud, la posición de ese punto se evalúa con respecto a los puntos de referencia, cada uno de los cuales representa un estado de salud definido, para calcular un parámetro que indica el estado del metabolismo de la glucosa del paciente, en el que la posición del punto que caracteriza el conjunto de datos se evalúa con respecto a los puntos de referencia proyectando el punto en una trayectoria estándar que sigue una progresión de la enfermedad desde un paciente normal sano, pasando por un estado prediabético, hasta enfermedad diabética en el espacio vectorial e incluye al menos parte de los puntos de referencia, determinar, a partir de la longitud de una parte de la trayectoria desde el inicio de la trayectoria hasta el punto de la trayectoria en el que se proyectó el punto que representa el conjunto de datos, el parámetro que indica el estado del metabolismo de la glucosa.
Abstract:
The invention relates to analysis methods for diagnosing diseases on human a nd animal samples. Said invention also relates to an evaluation method for diagnosing the individual stages of a disease in such a way that it is possible to display the progression thereof. Said invention also makes it possible to identify diseases in an early manner and to carry out therapeuti c controls. The inventive method consists in carrying out actually known multivariable evaluation methods for classifying samples. Nevertheless, the invention is characterised in that no sample is allocated to a certain class , but it is classified in a data record based on the interpolation between different classes.