A unique technology in the world to identify and classify sounds from a home-based audition using intelligent algorithms to support remote diagnosis and monitoring of respiratory diseases.
Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article 25 of EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is to conduct tests for the identification and classification of characteristics of the audible test signals and their collections, using advanced algorithms for detecting, comparing, integrating and learning, in order to support objective interpretation of the results of the audible examination conducted at home. The solution fits into the area of the telemedicine industry. The aim of the project is to create a system that will enable an audition to be carried out by a person without a medical education. As a result, the user will obtain information about recorded physiological and pathological sounds. It will also be able to send signals to the doctor and remotely consult the outcome. A separate pool of algorithms and possible filters associated with improving the quality and sharpening of emerging pathological sounds will be implemented for physicians to facilitate the auditory evaluation of the signals received. Detection algorithms will also be used to support the hearing process objectively, suggesting the possibility of pathology. The technology will be implemented in a product consisting of a measuring device and support software. The main purpose of the product is to diagnose children and people with chronic respiratory disorders. The Proof of Concept phase is planned to be completed by the start of the project. The aim of the project is to achieve readiness to implement and demonstrate technology in real conditions.