Medical analysis device with cellular impedance signal processing, comprising a memory (4) arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, those said data together representing a curve of cellular impedance values that are measured when a cell passes through a polarized opening, the device further comprising a classifier (6) comprising a convolutional neural network receiving the pulse data sets as input (100) and is provided with at least one convolutional layer (110, 120), said convolutional layer has a depth greater than or equal to 3, and at least two fully connected layers (130), as well as an output layer rendering a cell classification from which a pulse data set is derived (140, 150).