التفاصيل البيبلوغرافية
| العنوان: |
Parametric B-spline method for synthetic ECG signal generation: An alternative approach to addressing challenges in ECG analysis. |
| المؤلفون: |
Mishra, Alka, Bhusnur, Surekha, Mishra, Santosh Kumar, Singh, Pushpendra |
| المصدر: |
AIP Conference Proceedings; 2024, Vol. 3111 Issue 1, p1-7, 7p |
| مصطلحات موضوعية: |
CARDIOVASCULAR disease diagnosis, MACHINE learning, ELECTROCARDIOGRAPHY, THERAPEUTICS, PHOTOPLETHYSMOGRAPHY |
| مستخلص: |
The Electrocardiogram (ECG) signals analysis serves as the initial step in diagnosing various cardiovascular diseases. However, the presence of numerous sources of noise and artifacts in actual ECG signals makes it challenging to evaluate performance accurately. Furthermore, the development of real-time automatic diagnosis and machine learning models necessitates large volumes of medical data for training and research, which is often difficult to access due to patient privacy concerns. To overcome these obstacles, this research presents a novel contribution through the utilization of parametric B-splines for synthetic ECG signal generation. By overcoming the challenges of real data access and providing a platform for evaluating ECG analysis techniques, this approach paves the way for advancements in cardiovascular disease diagnosis and treatment. This approach addresses the limitations associated with accessing real patient data while offering a means to assess the efficacy and accuracy of ECG analysis techniques. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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