| dc.creator |
Bilgin, Suleyman |
|
| dc.creator |
KÖKLÜKAYA, Etem |
|
| dc.creator |
Polat, Ovunc |
|
| dc.creator |
ÇOLAK, ÖMER HALİL |
|
| dc.date |
2010-04-01T00:00:00Z |
|
| dc.date.accessioned |
2021-12-03T11:32:08Z |
|
| dc.date.available |
2021-12-03T11:32:08Z |
|
| dc.identifier |
908ba49c-a32e-4323-bc1f-274d63cb9f88 |
|
| dc.identifier |
10.1007/s10916-008-9227-8 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/908ba49c-a32e-4323-bc1f-274d63cb9f88/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/93318 |
|
| dc.description |
This study presents a new very low frequency (VLF) band range in ventricular tachyarrhythmia patients and involves an approach for estimation of effect of VLF band on ventricular tachyarrhythmia patients. A model based on wavelet packets (WP) and multilayer perceptron neural network (MLPNN) is used for determination of effective VLF band in heart rate variability (HRV) signals. HRV is decomposed into sub-bands including very low frequency parts and variations of energy are analyzed. Domination test is done using MLPNN and dominant band is determined. As a result, a new VLF band was described in 0.0039063-0.03125 Hz frequency range. This method can be used for other bands or other arrhythmia patients. Especially, estimation of dominant band energy using this method can be helped to diagnose for applications where have important effect of characteristic band. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Determination of a New VLF Band in HRV for Ventricular Tachyarrhythmia Patients |
|
| dc.type |
info:eu-repo/semantics/article |
|