US 12,127,849 B2
Device and method for detecting and monitoring cutaneous diseases
Jacopo Secco, Turin (IT); and Marco Farina, Turin (IT)
Assigned to Politecnico Di Torino, Turin (IT)
Appl. No. 17/296,103
Filed by Politecnico Di Torino, Turin (IT)
PCT Filed Nov. 13, 2019, PCT No. PCT/IB2019/059735
§ 371(c)(1), (2) Date May 21, 2021,
PCT Pub. No. WO2020/104896, PCT Pub. Date May 28, 2020.
Claims priority of application No. 102018000010536 (IT), filed on Nov. 23, 2018.
Prior Publication US 2022/0008002 A1, Jan. 13, 2022
Int. Cl. A61B 5/00 (2006.01); A61B 5/01 (2006.01); A61B 5/389 (2021.01)
CPC A61B 5/445 (2013.01) [A61B 5/0077 (2013.01); A61B 5/01 (2013.01); A61B 5/389 (2021.01); A61B 5/443 (2013.01); A61B 5/6844 (2013.01); A61B 5/7264 (2013.01); A61B 2560/0242 (2013.01); A61B 2562/0271 (2013.01); A61B 2562/029 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A device for monitoring cutaneous diseases, comprising:
image acquisition means adapted to acquire medical images of at least one portion of skin affected by a cutaneous disease;
sensor means adapted to detect physical conditions of said portion of skin and/or environmental conditions around said portion of skin, and to generate pathology data representing said physical conditions and/or said environmental conditions;
memory means for storing data in digital form; and
processing means in communication with the image acquisition means, the sensor means and the memory means, wherein said processing means are configured for:
reading the pathology data detected by the sensor means and the medical images acquired by the image acquisition means, and
storing said pathology data and said medical images into said memory means;
wherein the sensor means comprises:
one or more distance sensors configured to measure a distance between said portion of skin and said device and measure a three-dimensional profile of said portion of skin, and/or
an electronic nose adapted to detect the presence of volatile compounds emitted by said at least one portion of skin affected by said cutaneous disease, and/or
an electromyographic unit capable of acquiring an electromyographic signal, wherein the processing means are configured for executing a first portion of code implementing a first neural network trained to produce, on the basis of said pathology status data and said electromyographic signal, a pathologic degree datum defining the degree of the infection and/or inflammation of said portion of skin affected by said cutaneous disease.