A Very Large-Scale Integration (VLSI) Chip Design for Abnormal Heartbeat Detection Using a Data-Shifting Neural Network (DSNN)

A Very Large-Scale Integration (VLSI) Chip Design for Abnormal Heartbeat Detection Using a Data-Shifting Neural Network (DSNN)

In this paper, we propose a data-shifting neural network (DSNN) for the detection of abnormal heartbeats. Our study aims to identify six types of electrocardiogram (ECG) signals using the deep learning network. In order to enhance the detection accuracy, the DSNN is devised by doubling the input sig...

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Bibliographic Details
Main Authors: Yuan-Ho Chen, Szi-Wen Chen, Hong-Wen Jian, Shinn-Yn Lin, Rou-Shayn Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Very-large-scale integration implementation (VLSI)
electrocardiogram (ECG)
convolutional neural network (CNN)
data-shifting neural network (DSNN)
Online Access:https://ieeexplore.ieee.org/document/10411502/
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