51 results about "Multiparametric Analysis" patented technology

The invention provides a method of determining a comparative expression profile in an individual by comparing the expression levels of a sample of molecules in a population of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules, wherein expression levels within the health-associated reference expression region indicate a reference expression profile and wherein expression levels outside the health-associated reference expression region indicate a perturbed expression profile. The invention also provides methods of diagnosing a disease or a health state in an individual by comparing the expression level of a sample of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules.

An apparatus for diagnosing sleep disorders such as OASHS from snore sounds includes a segmentation module (126) coupled to a data logger (124) to provide segments of the digitized audio signal to a Snore Segment Identifier (128). A total airways response (TAR) module (130), pitch calculator (132) and MFCC calculator (134) are each coupled to an output side of the snore segment identifier module (128). Each of these modules is respectively arranged to calculate pitch, bispectrum, diagonal slice and MFCC parameters for the snore segments received from the snore segment identifier (128). Similarly, the NGI calculator (136) produces a non-Gaussianity index for the digitized audio signal. A classification module (144) is arranged to process the calculated parameters and compare a resulting diagnosis probability to a predetermined threshold value. The results of this comparison are then indicated on video display (142), which communicates with the classification module (133) via display controller (140) and bus (145). For example, if the results of the comparison are over threshold then display (142) is driven to indicate “OS AHS is present”.

An apparatus for diagnosing sleep disorders such as OASHS from snore sounds includes a segmentation module (126) coupled to a data logger (124) to provide segments of the digitized audio signal to a Snore Segment Identifier (128). A total airways response (TAR) module (130), pitch calculator (132), and MFCC calculator (134) are each coupled to an output side of the snore segment identifier module (128). Each of these modules is respectively arranged to calculate pitch, bispectrum, diagonal slice, and MFCC parameters for the snore segments received from the snore segment identifier (128). Similarly, the NGI calculator (136) produces a non-Gaussianity index for the digitized audio signal. A classification module (144) is arranged to process the calculated parameters and compare a resulting diagnosis probability to a predetermined threshold value. The results of this comparison are then indicated on video display (142), which communicates with the classification module (133) via display controller (140) and bus (145). For example, if the results of the comparison are over threshold then display (142) is driven to indicate “OS AHS is present.”

The invention concerns a device (DA) for analyzing microscopic elements, comprising firstly a measuring space (CM) for microscopic elements to be analyzed, secondly at least one source (S) delivering conjugated rays at the measuring space (CM), having at least two different analyzing wavelengths and designed to interact with the microscopic elements in the measuring space (CM) to form interacting rays, thirdly coding means (M) for encoding the rays upstream of the measuring space (CM) with different codes, fourthly optical filtering means (FO) for selectively filtering the interacting rays of fluorescence and / or diffusion depending on their wavelength, fifthly detecting means (DE, DF) for transforming into electric signals part at least of the interacting rays from the measuring space (CM), and sixthly analyzing means (MA) including decoding means (DRE, DRF) for decoding the electric signals to enable data representing the analyzed microscopic elements to be determined.

The invention relates to a measuring chip cartridge module (5) for carrying out mobile multiparameter analyses of chemical and / or biological substances, comprising . a sample inlet (13) for introducing a sample substance into the measuring chip cartridge module (5) from the outside, . at least one reagent inlet separate from said sample inlet for introducing reagents into the measuring chip cartridge module from the outside, . a measuring chip (7) with a surface which is provided for the sample analysis and which at least partly delimits an analysis cell with two openings such that a fluid surrounding the sample substance can reach the analysis cell through a first opening for the purpose of a sample analysis, and . a channel system (10) in which the sample substance can be transported from the sample inlet to the analysis cell and in which the reagents can be transported from the at least one reagent inlet to the analysis cell, wherein . the channel system (10) does not have any solid reagents, preferably no substances other than air and / or protective gas, before the sample substance is introduced via the sample inlet and / or before the reagents are introduced via the at least one reagent inlet. The invention further relates to a system consisting of such a replaceable cartridge module and a likewise replaceable reagent storing and processing module and to a method for carrying out sample analyses in said system.

A system for multiparametric analysis includes a substrate and a three-dimensional (3D) cell aggregate. The substrate has a major surface and includes at least one radial electrode array. The 3D cell aggregate is disposed on the major surface of the substrate. The 3D cell aggregate has a longitudinal surface at least a portion of which covers one or more of the electrodes of the radial electrode array.

The invention provides a multipurpose data acquisition system. An intelligent multi-parameter analyzing device is formed by means of connecting different equipment, and the multipurpose data acquisition system can be used for acquiring various data in various fields of environmental protection, electric power, water conservancy, hospitals, schools and the like. The multipurpose data acquisition system comprises a power unit, an energy storage unit, a central control unit and an interface unit, the power unit is connected with an external power source, the energy storage unit is connected withthe power unit, stores electric energy during power connection of the power unit, and provides work power for the multipurpose data acquisition system when in power failure of the power unit, the central control unit is connected with the power unit and the energy storage unit, is powered by the power unit or the energy storage unit and monitors the power unit and the energy storage unit, and theinterface unit provides abundant interfaces for external equipment, and brings convenience for connection of various equipment so as to realize data acquisition and transmission.

The present invention describes a method that is comprised of creating a set of synthetic samples that mimic a dynamic process or a specific process step or a variation thereof, to be used to develop multivariate monitoring calibrations and process supervisory control systems. In order to enhance calibration models accuracy and robustness the introduction of randomly spiked, programed spiked, random mixing and orthogonal experimental designed samples is also described. The new method works by using prior knowledge of dynamic processes expressed by their available data and quality control data and using such data to build mixtures profiles that can be used to build synthetic samples that mimic the process dynamics. A novel methodology to overcome calibration developments drawbacks of the prior art can be provided comprising designed synthetic multicomponent samples that mimic dynamic processes and using orthogonal design of experiments or random spikes or programed spikes or random mixing to enhance calibration models performance. With such multicomponent synthetic-samples which approximate accurately the matrix main components composition of real-samples we have demonstrated a novel use of PAT monitoring tools to estimate the dynamic process state (process supervision). The capability to derive multivariate process trajectories with multiparametric analysis of synthetic-samples prepared to span the multivariate design-space of a process allows for process supervisory control strategies to be established during process development and optimization.