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

fYear

2014

fDate

14-16 Oct. 2014

Firstpage

704

Lastpage

708

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4799-5837-5

Type

conf

DOI

10.1109/BMEI.2014.7002864

Filename

7002864