Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device-Reference-Cited by-同舟云学术

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Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device

Published:2023-09-06 Issue: Volume:38 Page:294-301
ISSN:
Container-title:2023 26th Euromicro Conference on Digital System Design (DSD)
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Author:

Ragusa Domenico¹,Rodriguez-Almeida Antonio J.²,Nolting Stephan³,Torti Emanuele¹,Fabelo Himar⁴,Hoyer Ingo³,Utz Alexander³,Callico Gustavo M.²,Leporati Francesco¹

Affiliation:

1. University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy

2. Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria,Las Palmas de G.C.,Spain

3. Fraunhofer IMS,Smart Sensor Systemes,Duisburg,Germany

4. Fundacion Canaria Instituto de Investigacion Sanitaria de Canarias,Las Palmas de G.C.,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10456758/10456769/10456824.pdf?arnumber=10456824

Reference30 articles.

1. Auscultation of the heart;Karnath;Hospital Phys.,2002

2. Effective Heart Sound Segmentation and Murmur Classification Using Empirical Wavelet Transform and Instantaneous Phase for Electronic Stethoscope

3. End-to-end heart sound segmentation using deep convolutional recurrent network

4. Population-Wide Trends in Aortic Stenosis Incidence and Outcomes

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