Application of Improved Wavelet Threshold in Denoising of ECG Signals / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
; (6): 1-5, 2021.
Article
en Zh
| WPRIM
| ID: wpr-880412
Biblioteca responsable:
WPRO
ABSTRACT
The ECG signal is susceptible to interference from the external environment during the acquisition process, affecting the analysis and processing of the ECG signal. After the traditional soft-hard threshold function is processed, there is a defect that the signal quality is not high and the continuity at the threshold is poor. An improved threshold function wavelet denoising is proposed, which has better regulation and continuity, and effectively solves the shortcomings of traditional soft and hard threshold functions. The Matlab simulation is carried out through a large amount of data, and various processing methods are compared. The results show that the improved threshold function can improve the denoising effect and is superior to the traditional soft and hard threshold denoising.
Palabras clave
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Algoritmos
/
Simulación por Computador
/
Procesamiento de Señales Asistido por Computador
/
Electrocardiografía
/
Análisis de Ondículas
Idioma:
Zh
Revista:
Chinese Journal of Medical Instrumentation
Año:
2021
Tipo del documento:
Article