Sensome Sas

Sensome

Pierluca Messina

Bruno Carreel

Franz Bozsak

Myline Cottance

Bruno Le Pioufle

Olivier Francais

Abdul Barakat

Gor Lebedev

Embodiments described relate to techniques for identifying and characterizing biological structures using machine learning techniques. These techniques may be employed to enable a device to identify the particular type of tissue and/or cells (e.g., platelets, smooth muscle cells, or endothelial cells) in, for example, a biological structure, which may be a tissue or a lesion of a duct (e.g., vasculature) in an animal (e.g., a human or non-human animal), among other structures. The machine learning techniques may use raw impedance spectroscopy measurement data in addition to values derived from that raw data. In addition, the machine learning techniques may be used to select frequencies at which to measure impedance and select features to extract from the measured impedance at the selected frequencies to arrive at a small set of frequencies that allow for reliable differentiation.

Characterizing and identifying biological structure

The invention relates to a medical device () comprising an electrical measurement circuit (), in which are connected at least two variable-impedance sensors (), the impedance of which varies according to a detected physical quantity, an electrical power source () for supplying power to the electrical measurement circuit (), an antenna () for emitting an electromagnetic field according to the impedance of the electrical measurement circuit (), each of the sensors () being associated with a switch () for interrupting the current supply of the sensor () in said measurement circuit (), the medical device () additionally comprising a system () for controlling the switches () in order to successively control the opening or the closing of the switches (), according to determined configurations. The medical device () may in particular be applied to the human body or implanted within the human body.

Medical device provided with sensors

The invention relates to a method for discriminating cells of a cellular structure, notably of a cellular tissue, comprising the steps consisting in determining () a frequency spectrum of the impedance of the cellular structure; defining () at least one model of the impedance of the cellular structure including a constant phase element (); determining () the impedance of the constant phase element () which optimizes the correlation of each model of the impedance of the cellular structure with the spectrum; and deducing (), from the impedance of the constant phase element () or from the impedances of the constant phase elements (), an item of information on the cells of the cellular structure. The invention also relates to a system for implementing the method for discriminating cells of a cellular structure.

Method for determining at least one type and/or condition of cells and system

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Paris, France

Pierluca Messina