Публікація:
The use of lossless compression in the process of post-filtration smoothing of an ECG distorted by high muscle noise

dc.contributor.authorКривенко, С. А.
dc.contributor.authorPulavskyi, A. A.
dc.contributor.authorKryvenko, L. S.
dc.contributor.authorPosokhov, M. F.
dc.contributor.authorKrivenko, S. S.
dc.date.accessioned2020-08-14T09:36:19Z
dc.date.available2020-08-14T09:36:19Z
dc.date.issued2020
dc.description.abstractThe electrocardiogram (ECG) of the first lead, obtained using portable signal collection tools is noise sensitive. One of the most common and poorly filterable types of noise is muscle artefact. As a result of the simulation, a criterion was found that identifies situations in which the use of kernel-based ECG smoothing after the filtering stage is relevant. This criterion is based on the difference in compression coefficients of the ECG smoothed after filtering and filtered ECG. The use of post-filtering smoothing is recommended if this difference is greater than zero. In this case, post-filtering smoothing improves signal quality in terms of mean-square error. The correctness of the criterion was confirmed on real ECG results (MIT-BIH Arrhythmia Database), distorted by real muscle artefact (MIT-BIH Noise Stress Test Database).uk_UA
dc.identifier.citationA. A. Pulavskyi, L. S. Kryvenko, M. F. Posokhov, S. A. Krivenko and S. S. Krivenko, "The use of lossless compression in the process of post-filtration smoothing of an ECG distorted by high muscle noise," 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), Kyiv, Ukraine, 2020, pp. 405-408, doi: 10.1109/ELNANO50318.2020.9088806.uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/12687
dc.language.isoen_USuk_UA
dc.publisherIEEEuk_UA
dc.relation.ispartofseries;DOI: 10.1109/ELNANO50318.2020.9088806
dc.subjectelectrocardiographyuk_UA
dc.subjectfiltering theoryuk_UA
dc.subjectmedical signal processinguk_UA
dc.titleThe use of lossless compression in the process of post-filtration smoothing of an ECG distorted by high muscle noiseuk_UA
dc.typeConference proceedingsuk_UA
dspace.entity.typePublication

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