Efficient sequential compression of multichannel biomedical signals
Resumen:
This work proposes lossless and near-lossless compression algorithms for multi-channel biomedical signals. The algorithms are sequential and efficient, which makes them suitable for low-latency and low-power signal transmission applications. We make use of information theory and signal processing tools (such as universal coding, universal prediction, and fast online implementations of multivariate recursive least squares), combined with simple methods to exploit spatial as well as temporal redundancies typically present in biomedical signals. The algorithms are tested with publicly available electroencephalogram and electrocardiogram databases, surpassing in all cases the current state of the art in near-lossless and lossless compression ratios.
| 2017 | |
|
Multi-channel signal compression Electroencephalogram compression Electrocardiogram compression Lossless compression Near-lossless compression Low-complexity Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/43496 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522941877878784 |
|---|---|
| author | Capurro, Ignacio |
| author2 | Lecumberry, Federico Martín Menoni, Alvaro Ramírez Paulino, Ignacio Rovira, Eugenio Seroussi, Gadiel |
| author2_role | author author author author author |
| author_facet | Capurro, Ignacio Lecumberry, Federico Martín Menoni, Alvaro Ramírez Paulino, Ignacio Rovira, Eugenio Seroussi, Gadiel |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Capurro, Ignacio Lecumberry, Federico Martín Menoni, Alvaro Ramírez Paulino, Ignacio Rovira, Eugenio Seroussi, Gadiel |
| dc.date.accessioned.none.fl_str_mv | 2024-04-16T16:21:01Z |
| dc.date.available.none.fl_str_mv | 2024-04-16T16:21:01Z |
| dc.date.issued.es.fl_str_mv | 2017 |
| dc.date.submitted.es.fl_str_mv | 20240416 |
| dc.description.abstract.none.fl_txt_mv | This work proposes lossless and near-lossless compression algorithms for multi-channel biomedical signals. The algorithms are sequential and efficient, which makes them suitable for low-latency and low-power signal transmission applications. We make use of information theory and signal processing tools (such as universal coding, universal prediction, and fast online implementations of multivariate recursive least squares), combined with simple methods to exploit spatial as well as temporal redundancies typically present in biomedical signals. The algorithms are tested with publicly available electroencephalogram and electrocardiogram databases, surpassing in all cases the current state of the art in near-lossless and lossless compression ratios. |
| dc.description.es.fl_txt_mv | Los resultados preliminares de este trabajo se presentaron en la European Signal Processing Conference (EUSIPCO 2014), Lisboa, Portugal, 2014. |
| dc.identifier.citation.es.fl_str_mv | Capurro, I, Lecumberry, F, Martín, Á, Ramírez, I, Rovira, E, Seroussi, G. "Efficient sequential compression of multichannel biomedical signals" [Preprint] Publicado en: IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 4, 2017. doi: 10.1109/JBHI.2016.2582683. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/43496 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Multi-channel signal compression Electroencephalogram compression Electrocardiogram compression Lossless compression Near-lossless compression Low-complexity |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Efficient sequential compression of multichannel biomedical signals |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Los resultados preliminares de este trabajo se presentaron en la European Signal Processing Conference (EUSIPCO 2014), Lisboa, Portugal, 2014. |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_a2fe9df09e60a965d84b324b678d1c86 |
| identifier_str_mv | Capurro, I, Lecumberry, F, Martín, Á, Ramírez, I, Rovira, E, Seroussi, G. "Efficient sequential compression of multichannel biomedical signals" [Preprint] Publicado en: IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 4, 2017. doi: 10.1109/JBHI.2016.2582683. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43496 |
| publishDate | 2017 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2024-04-16T16:21:01Z2024-04-16T16:21:01Z201720240416Capurro, I, Lecumberry, F, Martín, Á, Ramírez, I, Rovira, E, Seroussi, G. "Efficient sequential compression of multichannel biomedical signals" [Preprint] Publicado en: IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 4, 2017. doi: 10.1109/JBHI.2016.2582683.https://hdl.handle.net/20.500.12008/43496Los resultados preliminares de este trabajo se presentaron en la European Signal Processing Conference (EUSIPCO 2014), Lisboa, Portugal, 2014.This work proposes lossless and near-lossless compression algorithms for multi-channel biomedical signals. The algorithms are sequential and efficient, which makes them suitable for low-latency and low-power signal transmission applications. We make use of information theory and signal processing tools (such as universal coding, universal prediction, and fast online implementations of multivariate recursive least squares), combined with simple methods to exploit spatial as well as temporal redundancies typically present in biomedical signals. The algorithms are tested with publicly available electroencephalogram and electrocardiogram databases, surpassing in all cases the current state of the art in near-lossless and lossless compression ratios.Made available in DSpace on 2024-04-16T16:21:01Z (GMT). No. of bitstreams: 5 CLMRRS17.pdf: 1018415 bytes, checksum: 346462e3fb3384298cd8325da4c51900 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2017enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Multi-channel signal compressionElectroencephalogram compressionElectrocardiogram compressionLossless compressionNear-lossless compressionLow-complexityProcesamiento de SeñalesEfficient sequential compression of multichannel biomedical signalsPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCapurro, IgnacioLecumberry, FedericoMartín Menoni, AlvaroRamírez Paulino, IgnacioRovira, EugenioSeroussi, GadielProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Efficient sequential compression of multichannel biomedical signals Capurro, Ignacio Multi-channel signal compression Electroencephalogram compression Electrocardiogram compression Lossless compression Near-lossless compression Low-complexity Procesamiento de Señales |
| status_str | submittedVersion |
| title | Efficient sequential compression of multichannel biomedical signals |
| title_full | Efficient sequential compression of multichannel biomedical signals |
| title_fullStr | Efficient sequential compression of multichannel biomedical signals |
| title_full_unstemmed | Efficient sequential compression of multichannel biomedical signals |
| title_short | Efficient sequential compression of multichannel biomedical signals |
| title_sort | Efficient sequential compression of multichannel biomedical signals |
| topic | Multi-channel signal compression Electroencephalogram compression Electrocardiogram compression Lossless compression Near-lossless compression Low-complexity Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/43496 |
