Efficient CNN Architecture on FPGA Using High Level Module for Healthcare Devices

Efficient CNN Architecture on FPGA Using High Level Module for Healthcare Devices

Modern wearable healthcare devices require new technologies with resource efficiency in terms of high performance, low energy consumption and diagnostic accuracy. In the field of artificial intelligence, the convolutional neural network (CNN) has performed as an effective algorithm. Field-programmab...

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Bibliographic Details
Main Authors: Ahmed K. Jameil, Hamed Al-Raweshidy
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Electrogram classification
convolutional neural network (CNN)
FPGA
healthcare monitoring
hardware accelerator
Online Access:https://ieeexplore.ieee.org/document/9791237/

Internet

https://ieeexplore.ieee.org/document/9791237/

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