Adaptive predictive coding speech coding techniques applied to electrocardiogram signals
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/12390 |
Resumo: | This paper describes a lossy ECG signal coder with an adaptive predictive coding scheme initially proposed for speech coders. The predictors include linear predictive coding that takes advantage of the correlation between consecutive samples and long-term predictor that takes advantage of the signal quasi-periodicity. The prediction residue, with less dynamic range and therefore able to be encoded with less bits than the original, is transmitted sample by sample. The prediction coefficients and the amplitude of the residue are transmitted once for each heartbeat, with a negligible number of bits compared to the total bit rate. The long-term predictor is shown to obtain reliable performance when the heart rate does not change rapidly. Linear predictive coding, on the contrary, is more reliable and presents better prediction gain. The best developed coder uses double prediction and with 45% compression ratio allows a prediction gain of 24.8 dB. |
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Adaptive predictive coding speech coding techniques applied to electrocardiogram signalsECGSpeechAdaptive predictive codingLinear prediction codingLong-term predictionSignal to noise ratioThis paper describes a lossy ECG signal coder with an adaptive predictive coding scheme initially proposed for speech coders. The predictors include linear predictive coding that takes advantage of the correlation between consecutive samples and long-term predictor that takes advantage of the signal quasi-periodicity. The prediction residue, with less dynamic range and therefore able to be encoded with less bits than the original, is transmitted sample by sample. The prediction coefficients and the amplitude of the residue are transmitted once for each heartbeat, with a negligible number of bits compared to the total bit rate. The long-term predictor is shown to obtain reliable performance when the heart rate does not change rapidly. Linear predictive coding, on the contrary, is more reliable and presents better prediction gain. The best developed coder uses double prediction and with 45% compression ratio allows a prediction gain of 24.8 dB.ISEL - Instituto Superior de Engenharia de LisoaRCIPLSilva, DanielMartins, GuilhermeLourenço, AndréMeneses, Carlos2020-11-20T17:52:14Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/12390engSILVA, D.; [et al] – Adaptive predictive coding speech coding techniques applied to electrocardiogram signals. i-ETC: ISEL Academic Journal of Electronics, Telecommunications and Computers. ISSN 2182-4010. Vol. 6, N.º 1 (2020), pp. 1-72182-401010.34629/ipl.isel.i-ETC.78info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:05:12Zoai:repositorio.ipl.pt:10400.21/12390Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:20:29.288236Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals |
title |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals |
spellingShingle |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals Silva, Daniel ECG Speech Adaptive predictive coding Linear prediction coding Long-term prediction Signal to noise ratio |
title_short |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals |
title_full |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals |
title_fullStr |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals |
title_full_unstemmed |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals |
title_sort |
Adaptive predictive coding speech coding techniques applied to electrocardiogram signals |
author |
Silva, Daniel |
author_facet |
Silva, Daniel Martins, Guilherme Lourenço, André Meneses, Carlos |
author_role |
author |
author2 |
Martins, Guilherme Lourenço, André Meneses, Carlos |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Silva, Daniel Martins, Guilherme Lourenço, André Meneses, Carlos |
dc.subject.por.fl_str_mv |
ECG Speech Adaptive predictive coding Linear prediction coding Long-term prediction Signal to noise ratio |
topic |
ECG Speech Adaptive predictive coding Linear prediction coding Long-term prediction Signal to noise ratio |
description |
This paper describes a lossy ECG signal coder with an adaptive predictive coding scheme initially proposed for speech coders. The predictors include linear predictive coding that takes advantage of the correlation between consecutive samples and long-term predictor that takes advantage of the signal quasi-periodicity. The prediction residue, with less dynamic range and therefore able to be encoded with less bits than the original, is transmitted sample by sample. The prediction coefficients and the amplitude of the residue are transmitted once for each heartbeat, with a negligible number of bits compared to the total bit rate. The long-term predictor is shown to obtain reliable performance when the heart rate does not change rapidly. Linear predictive coding, on the contrary, is more reliable and presents better prediction gain. The best developed coder uses double prediction and with 45% compression ratio allows a prediction gain of 24.8 dB. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-20T17:52:14Z 2020 2020-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/12390 |
url |
http://hdl.handle.net/10400.21/12390 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
SILVA, D.; [et al] – Adaptive predictive coding speech coding techniques applied to electrocardiogram signals. i-ETC: ISEL Academic Journal of Electronics, Telecommunications and Computers. ISSN 2182-4010. Vol. 6, N.º 1 (2020), pp. 1-7 2182-4010 10.34629/ipl.isel.i-ETC.78 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ISEL - Instituto Superior de Engenharia de Lisoa |
publisher.none.fl_str_mv |
ISEL - Instituto Superior de Engenharia de Lisoa |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1817551206960070656 |