Analysis of Knee Joint Vibration Signals Using Ensemble Empirical Mode Decomposition
نویسندگان
چکیده
منابع مشابه
Denoising in Biomedical signals using Ensemble Empirical Mode Decomposition
Abstract: In this paper a novel Ensemble Empirical Mode decomposition (EEMD) and adaptive filtering is proposed to filter out Gaussian noise and contact noise contained in raw biomedical signals. Real Biomedical signals from the MIT-BIH database are used to validate the performance of the proposed method. It has been observed that original signals can be significantly enhanced by using the prop...
متن کاملKnock Intensity Diagnosis by Vibration Analysis Using Ensemble Empirical Mode Decomposition
Knock is an undesirable event that causes most of the abnormal combustion in spark ignition (SI) engines. In this paper, a novel knock intensity diagnosis method for SI engines by vibration analysis based on the ensemble empirical mode decomposition (EEMD) is proposed. First, the vibration signal measured from the test SI engine cylinder head is decomposed by the EEMD. Because the EEMD can elim...
متن کاملA Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کاملA Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کاملCombination of Empirical Mode Decomposition Components of HRV Signals for Discriminating Emotional States
Introduction Automatic human emotion recognition is one of the most interesting topics in the field of affective computing. However, development of a reliable approach with a reasonable recognition rate is a challenging task. The main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (HRV). In t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.06.067