Electrocardiograph Signal Classification By Using Neural Network

Electrocardiograph Signal Classification By Using Neural Network

Bibliographic Details
Main Author: Shu, Xingliang
Language:English
Published: University of Cincinnati / OhioLINK 2020
Subjects:
Electrical Engineering
electrocardiogram
classification
neural network
heartbeat analyzer
LSTM
convolutional layer
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592395089900722
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15923950899007222021-08-03T07:15:21Z Electrocardiograph Signal Classification By Using Neural Network Shu, Xingliang Electrical Engineering electrocardiogram classification neural network heartbeat analyzer LSTM convolutional layer Electrocardiogram reflects the electrical signal of the heart, and it is an important tool for diagnosing patients’ cardiac conditions. The goal of our research is to develop a neural network system which can classify nine categories of Electrocardiograms. The dataset is from the 2018 China Psychology Competition [1]. In Chapter 1, we will start to introduce Electrocardiogram classification and why we want to use neural network approach for this work. In Chapter 2, we will describe our dataset and the evaluation metric. In Chapter 3, our system design will be explained in very detail. In Chapter 4, we will discuss the results and analyze the misclassified data. There are many systems that have been developed by using the dataset we have, and they are evaluated and ranked during the competition. Therefore, in Chapter 5, we will show the performance of our system by comparing with the models from the competition in a reasonable way. Finally, we will conclude our work. 2020-11-09 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592395089900722 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592395089900722 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Electrical Engineering
electrocardiogram
classification
neural network
heartbeat analyzer
LSTM
convolutional layer
spellingShingle Electrical Engineering
electrocardiogram
classification
neural network
heartbeat analyzer
LSTM
convolutional layer
Shu, Xingliang
Electrocardiograph Signal Classification By Using Neural Network
author Shu, Xingliang
author_facet Shu, Xingliang
author_sort Shu, Xingliang
title Electrocardiograph Signal Classification By Using Neural Network
title_short Electrocardiograph Signal Classification By Using Neural Network
title_full Electrocardiograph Signal Classification By Using Neural Network
title_fullStr Electrocardiograph Signal Classification By Using Neural Network
title_full_unstemmed Electrocardiograph Signal Classification By Using Neural Network
title_sort electrocardiograph signal classification by using neural network
publisher University of Cincinnati / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592395089900722
work_keys_str_mv AT shuxingliang electrocardiographsignalclassificationbyusingneuralnetwork
_version_ 1719457685812805632

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