Title :
An automatic method for motion artifacts detection in photoplethysmographic signals referenced with electrocardiography data
Author :
Vaz, Pedro ; Henriques, J. ; de Carvalho, P. ; Couceiro, R.
Author_Institution :
Dept. of Phys., Univ. of Coimbra, Coimbra, Portugal
Abstract :
This work presents an automatic motion artifact detection algorithm for photoplethysmographic (PPG) signals with synchronized electrocardiography (ECG) data. 18 features from time and frequency domain were extracted and used in a support vector machine (SVM) for automatic classification. The performance achieved by this method (SE: 87.5%, SP: 85.5% and CR: 86.8%) proves that the information extracted from the relationship between electrocardiography and PPG can be used to identify segments of motion artifacts in PPG signals.
Keywords :
bioelectric potentials; electrocardiography; feature extraction; medical signal detection; medical signal processing; motion compensation; photoplethysmography; support vector machines; automatic motion artifact detection algorithm; feature extraction; photoplethysmographic signals; support vector machine; synchronized electrocardiography data; Data mining; Electrocardiography; Feature extraction; Frequency-domain analysis; Joints; Motion segmentation; Support vector machines; ECG; Motion artifacts; PPG; Support Vector Machines; automatic classification;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5837-5
DOI :
10.1109/BMEI.2014.7002864
