De-noising of Impedance Cardiography Differential Signal and Detection of the Feature Points Based on Wavelet Transformation / 生物医学工程学杂志
J. biomed. eng
; Sheng wu yi xue gong cheng xue za zhi;(6): 284-289, 2015.
Article
en Zh
| WPRIM
| ID: wpr-266685
Biblioteca responsable:
WPRO
ABSTRACT
Calculation of cardiac hemodynamic parameters is based on accurate detection of feature points in impedance cardiogram. According to these parameters, doctors can determine heart conditions, so it is very important to accurately detect the feature point of impedance differential signals. This article presents a process in which we used wavelet threshold method to de-noise signals, and then detected the feature points after six layers wavelet decomposition by using bior3. 7. The experimental data were collected from healthy persons in our laboratory and twenty two clinical patients in Chongqing Daping Hospital by using KF_ICG instrument. The results indicated that this method could precisely detect feature points whether it was from healthy people or clinical patients. This helps to achieve the application of noninvasive detection cardiac hemodynamic parameters in clinical treatments by using impedance method.
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Fisiología
/
Cardiografía de Impedancia
/
Impedancia Eléctrica
/
Análisis de Ondículas
/
Corazón
/
Hemodinámica
Tipo de estudio:
Diagnostic_studies
Límite:
Humans
Idioma:
Zh
Revista:
J. biomed. eng
/
Sheng wu yi xue gong cheng xue za zhi
Año:
2015
Tipo del documento:
Article