Robust correlation technology for online monitoring of changes in the state of the heart by means of laptops and smartphones
Autor: | N.E. Rzayeva, Ulkar Sattarova, Telman Aliev |
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Rok vydání: | 2017 |
Předmět: |
0209 industrial biotechnology
business.product_category medicine.diagnostic_test Multimedia Computer science Health Informatics 02 engineering and technology Auscultation Heart activity computer.software_genre Correlation Reference data 020901 industrial engineering & automation Laptop Heart sounds Signal Processing 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Noise (video) State (computer science) business computer |
Zdroj: | Biomedical Signal Processing and Control. 31:44-51 |
ISSN: | 1746-8094 |
DOI: | 10.1016/j.bspc.2016.06.015 |
Popis: | We demonstrate the possibility of monitoring changes in heart activity through the auscultation and analysis of heart sounds by means of a laptop or smartphone. The proposed technology allows laptop and smartphone users to create bases of reference for informative attributes in the most indicative periods of the day over the course of 10–15 days in home or work environments. During subsequent auscultation of the heart, current combinations of corresponding informative attributes are formed and compared with the reference data. If the current combinations match the reference data, a user is informed that his/her condition is within the norm; otherwise, a recommendation to see a doctor is given. |
Databáze: | OpenAIRE |
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