Energy efficient software-hardware co-design of quantized recurrent convolutional neural network for continuous cardiac monitoring

Energy efficient software-hardware co-design of quantized recurrent convolutional neural network for continuous cardiac monitoring

This paper presents an electrocardiogram (ECG) signal classification model based on Recurrent Convolutional Neural Network (RCNN). With recurrent connections and data buffers, a single convolutional layer is reused to implement multiple layers function. Using a 5-layers CNN network as an example, th...

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Bibliographic Details
Main Authors: Hu, Jinhai, Leow, Cong Sheng, Goh, Wang Ling, Gao, Yuan
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Engineering
ECG classification
RCNN
Fixed-point quantization
FPGA
Online Access:https://hdl.handle.net/10356/179110
https://ieeexplore.ieee.org/abstract/document/10168601

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