The computation of line spectral frequencies using discrete wavelet transform for electrocardiograms processing

Публікація:
The computation of line spectral frequencies using discrete wavelet transform for electrocardiograms processing

dc.contributor.author	Кривенко, С. А.
dc.contributor.author	Pulavskyi, A. A.
dc.contributor.author	Krivenko, S. S.
dc.date.accessioned	2020-08-14T12:00:56Z
dc.date.available	2020-08-14T12:00:56Z
dc.date.issued	2016
dc.description.abstract	An approach for glucose meters was improved. We process electrocardiograms of patients to detect change of glucose concentration in the blood. The technique uses discrete wavelet transform for electrocardiograms processing. Standard oral glucose tolerance test used to check fifty six patients complains of type 2 diabetes symptoms. The square of the Matthews correlation coefficient 0.93 has been achieved on examination.	uk_UA
dc.identifier.citation	A. A. Pulavskyi, S. S. Krivenko and S. A. Krivenko, "The computation of line spectral frequencies using discrete wavelet transform for electrocardiograms processing," 2016 IEEE 36th International Conference on Electronics and Nanotechnology (ELNANO), Kiev, 2016, pp. 202-205, doi: 10.1109/ELNANO.2016.7493048.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/12696
dc.language.iso	en	uk_UA
dc.publisher	IEEE	uk_UA
dc.relation.ispartofseries	;doi: 10.1109/ELNANO.2016.7493048.
dc.subject	line spectral frequencies	uk_UA
dc.subject	electrocardiogram	uk_UA
dc.subject	glucose meter	uk_UA
dc.subject	discrete wavelet transform	uk_UA
dc.title	The computation of line spectral frequencies using discrete wavelet transform for electrocardiograms processing	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication