| dc.contributor.author | Jabborov, A. M. | ru |
| dc.coverage.spatial | Минск | ru |
| dc.date.accessioned | 2024-04-23T12:46:56Z | |
| dc.date.available | 2024-04-23T12:46:56Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Jabborov, A. M. A newapproach to digital processing of ECG signals / A. M. Jabborov // Инновационные технологии, автоматизация и мехатроника в машино- и приборостроении [Электронный ресурс] : материалы Х международной научно-практической конференции (Минск, 6 апреля 2022 года) : в рамках выставки «Автоматизация, электроника – 2022» / редкол.: А. Р. Околов (гл. ред.) [и др.] ; сост. А. Н. Дербан. – Минск : БНТУ, 2022. – С. 8-10. | ru |
| dc.identifier.uri | https://rep.bntu.by/handle/data/142149 | |
| dc.description.abstract | Electrocardiogram (ECG) signals have become a promising means of achieving automatic detection of diseases using high-level processing algorithms. In this paper, a new wavelet delta-function (WDF) method has been proposed for the effective detection of pathological conditions from ECG signals. In this case, the ECG is converted into the sum of WDF with a coefficient of 0, 1 and -1. This made it possible to make changes in the diagnosis with higher accuracy than traditional methods. | ru |
| dc.language.iso | en | ru |
| dc.publisher | БНТУ | ru |
| dc.title | A newapproach to digital processing of ECG signals | ru |
| dc.type | Working Paper | ru |
