التفاصيل البيبلوغرافية
| العنوان: |
Automatic Atrial Fibrillation detection: A novel approach using discrete wavelet transform and heart rate variability. |
| المؤلفون: |
Bruun IH, Hissabu SMS, Poulsen ES, Puthusserypady S |
| المصدر: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2017 Jul; Vol. 2017, pp. 3981-3984. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: [Piscataway, NJ] : [IEEE], [2007]- |
| مواضيع طبية MeSH: |
Atrial Fibrillation*, Algorithms ; Electrocardiography ; Heart Rate ; Humans ; Wavelet Analysis |
| مستخلص: |
Early detection of Atrial Fibrillation (AF) is crucial in order to prevent acute and chronic cardiac rhythm disorders. In this study, a novel method for robust automatic AF detection (AAFD) is proposed by combining atrial activity (AA) and heart rate variability (HRV), which could potentially be used as a screening tool for patients suspected to have AF. The method includes an automatic peak detection prior to the feature extraction, as well as a noise cancellation technique followed by a bagged tree classification. Simulation studies on the MIT-BIH Atrial Fibrillation database was performed to evaluate the performance of the proposed method. Results from these extensive studies showed very promising results, with an average sensitivity of 96.51%, a specificity of 99.19%, and an overall accuracy of 98.22%. |
| تواريخ الأحداث: |
Date Created: 20171025 Date Completed: 20180830 Latest Revision: 20200928 |
| رمز التحديث: |
20221213 |
| DOI: |
10.1109/EMBC.2017.8037728 |
| PMID: |
29060769 |
| قاعدة البيانات: |
MEDLINE |
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