Real-Time PCG Diagnosis Using FPGA-Reference-Cited by-同舟云学术

Real-Time PCG Diagnosis Using FPGA

Published:2019-04-12 Issue: Volume: Page:518-529
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Fadhel Mohammed Abdulraheem,Al-Shamma Omran,Oleiwi Sameer Razzaq,Taher Bahaa Hussein,Alzubaidi Laith

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16657-1_48

Reference20 articles.

1. Goda, M.A., Hajas, P.: Morphological determination of pathological PCG signals by time and frequency domain analysis. In: 2016 Computing in Cardiology Conference (CinC). IEEE (2016)

2. Mukherjeea, A., Khanb, A.: A fourier series based template matching approach to detect the splitting of second heart sound. IOSR J. VLSI Signal Process. (IOSR-JVSP) 4, 09–13 (2014)

3. Clifford, G.D., et al.: Classification of normal/abnormal heart sound recordings: the PhysioNet/computing in cardiology challenge 2016. In: 2016 Computing in Cardiology Conference (CinC). IEEE (2016)

4. Liu, C., et al.: An open access database for the evaluation of heart sound algorithms. Physiol. Measur. 37(12), 2181 (2016)

5. Schmidt, S., Graebe, M., Toft, E., Struijk, J.: No evidence of nonlinear or chaotic behavior of cardiovascular murmurs. Biomed. Signal Process. Control 6, 157–163 (2011)

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