Fetal ECG extraction using independent component analysis by Jade approach
Fetal ECG monitoring is a useful method to assess the fetus health and detect abnormal conditions. In this paper we propose an approach to extract fetal ECG from abdomen and chest signals using independent component analysis based on the joint approximate diagonalization of eigenmatrices approach. T...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8958
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8958
- Palabra clave:
- Bioengineering
Fetal ECG
Independent component analysis
Signal processing
Bioinformatics
Electrocardiography
High pass filters
Independent component analysis
Signal processing
Silicate minerals
Systems science
Abnormal conditions
Computational costs
Fetal ECG
Fetal ecg extractions
Joint approximate diagonalization of eigen-matrices
Low-Frequency Noise
Biomedical signal processing
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | Fetal ECG monitoring is a useful method to assess the fetus health and detect abnormal conditions. In this paper we propose an approach to extract fetal ECG from abdomen and chest signals using independent component analysis based on the joint approximate diagonalization of eigenmatrices approach. The JADE approach avoids redundancy, what reduces matrix dimension and computational costs. Signals were filtered with a high pass filter to eliminate low frequency noise. Several levels of decomposition were tested until the fetal ECG was recognized in one of the separated sources output. The proposed method shows fast and good performance. © 2017 SPIE. |
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