Wavelet transform selection method for biological signal treatment
This paper presents the development and evaluation of an algorithm for compressing fetal electrocardiographic signals, taken superficially on the mother’s abdomen. This method for acquiring ECG signals produces a great volumen of information that makes it difficult for the records to be stored and tran...
- Autores:
-
Jiménez, Gonzalo
COLLAZOS MORALES, CARLOS ANDRES
De-La-Hoz-Franco, Emiro
Ariza Colpas, Paola Patricia
Ramayo González, Ramón Enrique
Maldonado-Franco, Adriana
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6202
- Acceso en línea:
- https://hdl.handle.net/11323/6202
https://repositorio.cuc.edu.co/
- Palabra clave:
- Energy conservation
CR
ECG
Fetal
PDR
Wavelet packet transform
- Rights
- openAccess
- License
- CC0 1.0 Universal
| Summary: | This paper presents the development and evaluation of an algorithm for compressing fetal electrocardiographic signals, taken superficially on the mother’s abdomen. This method for acquiring ECG signals produces a great volumen of information that makes it difficult for the records to be stored and transmitted. The proposed algorithm aims for lossless compression of the signal by applying Wavelet Packet Transform to keep errors below the unit, with compression rates over 20:1 and with conserved energy in reconstruction as comparison parameter. For algorithm validation, the signal files provided by PhysioBank DataBase are used. |
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