Our platform for automatic detection and classification of lung sounds is used to build products for several types of potential application.
Our training tool for learning lung sounds makes repetitive training more accessible to anyone, anywhere, regardless of available time and other training resources.
1 - listen! 2 - train! 3 - test!
realistic examples of normal and abnormal sounds
divided into learning blocks for progress tracking
annotations provided by lung sound experts
all sounds have multimedia presentation
For both students or educators in different environments:
For classroom: demonstrate examples of abnormal lung sounds during lectures, accessing our library of lung sounds, which were recorded in real-life settings;
For e-learning: support repetitive training at home: all examples contain intuitively simple descriptions and are split into learning blocks with test functionality;
For bedside teaching: record and upload lung sounds into the platfrom in order to access them later for additional repetitive training.
For clinical use
We are further developing the platform for analysis of normal/abnormal lung sounds to make it suitable for clinical use and to comply with regulatory requirements.
We aim to provide automatic and objective interpretation of auscultation findings, which could be easily documented in patient's history and used for further health monitoring. We develop our algorithms to work on lung sounds, recorded with any digital stethoscope. This means that the users will be able to continue using the hardware which they already have, making the implementation cost lower.
Abnormal sounds are sympthoms of lung diseases like asthma and COPD, which are rapidly growing. In EU alone, estimated annual economic burden of such diseases reaches 90 billion euro in direct and indirect medical costs. This cost is growing due to aging population and increasing prevalence of lung diseases, as well as growing gap between the current capacity of the healthcare system and tomorrow’s demand.
Reach out if you want to test our prototype and help us developing tools, useful for clinical use!
For home monitoring
According to WHO estimates, over 235 million and and 64 million people globally have asthma and COPD accordingly. Many medical device manufacturers offer solutions for these people to monitor and manage their conditions, and abnormal lung sounds are among sympthoms that could be included into such monitoring.
Medsensio is continuously improving the algorithms for lung sound analysis to make them suitable for use in consumer devices, where we believe we will add value for home monitoring of people with respiratory diseases.
Contact us for more information how you can contribute to such development.