A machine learning approach to multi-level ECG signal quality classification
- Author
- QIAO LI1 2 ; RAJAGOPALAN, Cadathur3 ; CLIFFORD, Gari D2
[1] Institute of Biomedical Engineering, School of Medicine, Shandong University, Jinan, Shandong 250012, China
[2] Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom
[3] Mindray DS USA, Mahwah, NJ, United States - Source
Computer methods and programs in biomedicine (Print). 2014, Vol 117, Num 3, pp 435-447, 13 p ; ref : 33 ref
- ISSN
- 0169-2607
- Scientific domain
- Biomedical engineering; Computer science
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- ECG Machine learning Multi-level classification Signal quality Support vector machine
- Keyword (fr)
- Application médicale Arythmie(physiologie) Base de données Cardiologie Classification à vaste marge Contrôle qualité Electrocardiographie Expert Intelligence artificielle Métrique Niveau bruit Qualité service Qualité totale Rapport signal bruit Stress Classification multiple
- Keyword (en)
- Medical application Arrhythmia (physiology) Database Cardiology Vector support machine Quality control Electrocardiography Expert Artificial intelligence Metric Noise level Service quality Total quality Signal to noise ratio Stress Multiple classification
- Keyword (es)
- Aplicación medical Arritmia (fisiología) Base dato Cardiología Máquina ejemplo soporte Control de calidad Electrocardiografía Experto Inteligencia artificial Métrico Nivel ruido Calidad servicio Calidad total Relación señal ruido Estrés clasificación múltiple
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B24 Investigative techniques, diagnostic techniques (general aspects) / 002B24D Electrodiagnosis. Electric activity recording / 002B24D01 Electrocardiography. Vectocardiography
- Discipline
- Computer science : theoretical automation and systems Scanning and diagnostic techniques
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28915512
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.cmpb.2014.09.002 
https://dx.doi.org/10.1016/j.cmpb.2014.09.002
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