This article evaluates noise removal and restoration errors using digital processing of ECG signals using wavelet types. As a result of the study, ECG signals were analyzed using second-order Daubechies wavelets, and the signal-to-noise ratio and mean square error were calculated. Daubechies wavelets were found to suppress noise more effectively than other types of wavelets.
| Mualliflar | Jurayev, Umidjon, Abduraximov, Doniyor, Beibitkhan, Yerkegul, Sattarov , Ziyodulla |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-06-07 |
| Son | 2 |
| Betlar | 327-334 |
| Til | Rus |
wavelets, frequency, stationary signal, noise, ECG signal, scaling, Haar, Daubechies, Meyer, Veyvletlar, chastota, statsionar signal, shovqin, EKG signal, masshtablash, Haar, Dobeshi, Meyer
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