Horiba Abx Sas

Centre National De La Recherche Scientifique

Universitè De Montpellier

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Simon Mendez

Damien Isebe

Ramiro Moreno

Pierre Taraconat

Franck Nicoud

Kwadzo Anou Sewonu

Franck Nlcoud

A medical analysis device with cellular impedance signal processing features a memory arranged to receive pulse data sets, with each pulse data set including impedance value data that are associated each time with a time marker. The pulse data sets together represent a curve of cellular impedance values that are measured as a cell passes through a polarised opening. The device further includes a classifier in communication with the memory. The classifier may feature a convolutional neural network that receives the pulse data sets as input. The classifier is provided with at least one convolutional layer, which convolutional layer has a depth greater than or equal to 3, and at least two fully connected layers, in addition to an output layer rendering a cell classification from which a pulse data set is derived.

Medical analysis device with impedance signal processing

A device for medical analyses with cellular impedance signal processing comprises a memory () arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, these data together representing a curve of cellular impedance values that are measured as a cell passes through a polarized opening, a computer () arranged to process a pulse data set by determining a rotation value indicating whether the cell from which this pulse data set has been taken has undergone a rotation during its passage through the polarized opening, and a classifier () arranged to retrieve from the computer () a given pulse data set, and to use the resulting rotation value to classify the given pulse data set in a rotation pulse data set group () or a rotationless pulse data set group ().

Device for medical analyses with impedance signal processing

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MONTPELLIER, France

Simon Mendez