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dc.contributor.authorMd. Abdul, Awal-
dc.contributor.authorMohiuddin, Ahmad, Prof. Dr. Engr.-
dc.contributor.authorIsmail, Daut, Prof. Dr.-
dc.contributor.authorErnie, Che Mid-
dc.contributor.authorMohd. Abdur, Rashid, Dr.-
dc.date.accessioned2012-10-18T08:49:10Z-
dc.date.available2012-10-18T08:49:10Z-
dc.date.issued2012-02-27-
dc.identifier.citationp. 373-378en_US
dc.identifier.isbn978-145771989-9-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179041-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21432-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis paper describes the research carried out to eliminate the noise found in ECG signal and cardiac rhythm using Coiflet wavelet since its scaling function is closely related to the shape of ECG and suited for denoising for many applications. Different adaptive and soft threshold functions are used to enhance the ECG signal. The output SNR shows an outstanding performance of 6.2 dB as compared with other methods. In addition to SNR improvement and different statistical tools, a new time-scale qualitative distortion measure named scalogram difference factor is also proposed.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectElectrocardiogram (ECG)en_US
dc.subjectCoiflet waveleten_US
dc.subjectDenoisingen_US
dc.subjectScalogram difference factoren_US
dc.subjectSNR improvementen_US
dc.titleWavelet based distortion measurement and enhancement of ECG signalen_US
dc.typeWorking Paperen_US
dc.contributor.urlmohiuddin0ahmad@gmail.comen_US
dc.contributor.urlabdurrashid@unimap.edu.myen_US
Appears in Collections:Conference Papers
Ismail Daut, Prof. Dr.

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