没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
齐鲁工业大学硕士学位论文
1
目 录
摘 要 ........................................................................................................I
ABSTRACT ..................................................................................................I
第 1 章 绪 论 ......................................................................................... 1
1.1 研究背景与意义 ................................................................................................................... 1
1.2 国内外研究现状 ................................................................................................................... 2
1.2.1 边缘计算研究现状 .................................................................................................... 2
1.2.2 边缘智能在心电信号处理领域研究现状 ................................................................ 5
1.2.3 相关工作总结与对比 ................................................................................................ 7
1.3 论文的主要研究内容 ........................................................................................................... 7
1.4 论文的组织与安排 ............................................................................................................... 9
1.5 本章小结 ............................................................................................................................... 9
第 2 章 相关技术与概念 ........................................................................... 11
2.1 边缘智能相关概念 ............................................................................................................. 11
2.2 人工智能相关技术 ............................................................................................................. 12
2.2.1 人工神经网络 .......................................................................................................... 12
2.2.2 滤波 .......................................................................................................................... 18
2.3 心电信号相关概念 ............................................................................................................. 19
2.3.1 心电信号及心拍分类 .............................................................................................. 19
2.3.2 心电数据库 .............................................................................................................. 20
2.4 区块链相关技术 ................................................................................................................. 22
2.4.1 哈希算法技术 .......................................................................................................... 22
2.4.2 数据加密与数字签名技术 ...................................................................................... 24
2.4.3 区块链相关概念及其共识算法技术 ...................................................................... 27
2.5 本章小结 ............................................................................................................................. 32
目 录
2
第 3 章 基于区块链的轻量级边缘智能框架 .......................................... 33
3.1 引言 ..................................................................................................................................... 33
3.2 框架的基本设计 ................................................................................................................. 34
3.2.1 框架结构 .................................................................................................................. 34
3.2.2 硬件组成 .................................................................................................................. 35
3.2.3 网络结构 .................................................................................................................. 36
3.2.4 区块链网络 .............................................................................................................. 38
3.3 实现 ..................................................................................................................................... 40
3.3.1 软件组件 .................................................................................................................. 40
3.3.2 用户接口 .................................................................................................................. 41
3.3.3 网络传输 .................................................................................................................. 41
3.4 部署和运行过程 ................................................................................................................. 41
3.4.1 部署过程 .................................................................................................................. 41
3.4.2 运行过程 .................................................................................................................. 44
3.5 本章小结 ............................................................................................................................. 46
第 4 章 边缘智能环境下的心电信号处理方法 ...................................... 47
4.1 引言 ..................................................................................................................................... 47
4.2 心电信号的预处理 ............................................................................................................. 48
4.2.1 数据集的划分 .......................................................................................................... 48
4.2.2 数据样本的分段与标记 .......................................................................................... 48
4.2.3 数据样本的平衡 ...................................................................................................... 51
4.2.4 信号的降噪处理 ...................................................................................................... 53
4.3 实验 ..................................................................................................................................... 55
4.3.1 实验环境 .................................................................................................................. 55
4.3.2 神经网络模型 .......................................................................................................... 55
4.3.3 实验结果 .................................................................................................................. 56
4.4 本章小结 ............................................................................................................................. 60
齐鲁工业大学硕士学位论文
3
第 5 章 基于边缘智能的心率监测系统 .................................................. 61
5.1 引言 ..................................................................................................................................... 61
5.2 系统设计 ............................................................................................................................. 61
5.2.1 硬件系统模型 .......................................................................................................... 61
5.2.2 软件架构模型 .......................................................................................................... 63
5.3 系统实现 ............................................................................................................................. 64
5.3.1 实验环境 .................................................................................................................. 64
5.3.2 网络连接 .................................................................................................................. 67
5.4 系统运行 ............................................................................................................................. 67
5.4.1 程序运行 .................................................................................................................. 67
5.4.2 区块链运行 .............................................................................................................. 68
5.4.3 实验效果 .................................................................................................................. 69
5.5 性能评价 ............................................................................................................................. 69
5.5.1 性能指标 .................................................................................................................. 69
5.5.2 性能对比分析 .......................................................................................................... 70
5.5.3 边缘节点数量对性能的影响 .................................................................................. 71
5.5.4 非法数据的应对 ...................................................................................................... 72
5.6 本章小结 ............................................................................................................................. 73
第 6 章 结 论 ....................................................................................... 75
6.1 论文工作总结 ..................................................................................................................... 75
6.2 未来工作展望 ..................................................................................................................... 76
参考文献 ..................................................................................................... 77
致 谢 ..................................................................................................... 85
在学期间主要科研成果 ............................................................................. 87
一、发表学术论文 .................................................................................................................... 87
二、其它科研成果 .................................................................................................................... 87
三、参与科研项目 .................................................................................................................... 87
齐鲁工业大学硕士学位论文
I
摘 要
心脏病始终是人类健康的“头号杀手”。心电信号反映了心脏的收缩和舒张,
是分析人体健康状况的重要依据。近年来涌现了大量利用人工智能技术来分析心
电信号的研究,用于辅助心脏病的诊断。这在一定程度上为医疗工作者减轻了工
作压力,提升了工作效率。然而,心脏病患者的情况是十分复杂的,特别是在突
发紧急情况下,单纯的心电信号分析研究不能满足患者实时心率监测的需求。为
此,应用边缘智能技术实时监测患者的心率情况成为一种新的有效手段。
边缘智能结合了边缘计算和人工智能的优势,其通过部署在网络边缘的人工
智能模型来分析物联网终端产生的海量数据,具有高效快速、低延迟、低成本、
高性能、高可靠性以及安全和隐私保障等特性。
论文以心率监测这一典型的边缘智能应用场景为方向,对边缘智能框架和心
电信号处理的方法与应用展开研究,满足了边缘环境下的实时心率监测需求。具
体而言,论文有以下主要研究内容。
(1)提出了一个基于区块链的轻量级边缘智能框架。该框架用于支持心电图
仪和网络边缘上的边缘智能设备,以满足心电信号数据的高效快速流转和分析的
需求。该框架利用区块链相关技术解决网络边缘上的安全可追溯的数据传输与共
享问题,并充分利用网络边缘设备资源,实现了集成“心电图仪–网络边缘–云
端”环境的端到端连接,以促进心电图仪产生的数据和网络边缘的交互。
(2)提出了一种边缘智能环境下的心电信号处理方法。该方法用于将指定的
心电信号处理为规范的数据,并通过搭建的心电信号分类识别模型来进一步验证
该处理方法。实验得出的结果显示该方法是可用的,并通过实验分析了该方法下
比较适当的数据处理阈值。通过进一步实验说明了该处理方法和适当的数据处理
阈值如何应用在更加复杂的人工智能模型当中,以满足边缘智能环境下心电信号
分类识别的应用需求。
(3)设计并实现了一个基于边缘智能的心率监测系统。以提出的边缘智能框
架和心电信号数据处理方法及其人工智能模型为基础,利用心电图仪和网络边缘
资源,设计并实现了一个完整的基于边缘智能的心率监测系统。该系统能够对人
体进行实时心率监测,通过实验得出了该系统的一些关键性能指标,结果显示该
系统作为一个具体的边缘智能应用,具有较好的性能和实际应用价值。
论文对上述主要研究内容进行了全面的阐述,并对论文工作进行了总结和对
未来工作进行了展望。
关键词: 边缘智能;心电信号处理;心率监测;区块链
齐鲁工业大学硕士学位论文
I
ABSTRACT
Heart disease has always been the number one killer of human health. The
electrocardiogram (ECG) signal can reflect the contraction and relaxation of the heart,
which is an important basis for the analysis of human health. In recent years, a large
number of researches using Artificial Intelligence (AI) technology to analyze ECG
signals have emerged to assist in the diagnosis of heart disease. These Researches have
reduced the work pressure and improved the work efficiency for medical workers to a
certain extent. However, the situation of patients with heart disease is very complicated,
especially in the case of emergency, the single ECG analysis cannot meet the needs of
real-time heartbeat monitoring. Therefore, the application of Edge Intelligence (EI)
technology to real-time monitoring of patients' heartbeat has become a new effective
method.
EI combines the advantages of Edge Computing (EC) and AI technology. It
analyzes the massive data generated by the Internet of things (IoT) terminals through
the AI models deployed at the edge of the network. It has the characteristics of high
efficiency, low latency, low cost, high performance, high reliability, security and
privacy protection.
The thesis takes heartbeat monitoring, a typical EI application scenario as the
direction, and conducts research on the EI framework, the methods and applications of
ECG signal processing to meet the needs of real-time heartbeat monitoring in the edge
environment. Specifically, the thesis has the following main research contents.
(1) A lightweight EI Framework based on blockchain is proposed. The framework
is used to support electrocardiographs and EI devices on the network edge to meet the
needs of efficient fast flow and analysis of ECG signal data, using blockchain
technology to solve the problem of secure and traceable data transmission and sharing
on the edge of the network, and make full use of network edge device resources to
realize the End-to-End connection of integrated Electrocardiograph-Edge-Cloud
environment, so as to promote the interaction between the data generated by the
electrocardiographs and the network edge.
(2) An ECG signal processing method under the EI environment is proposed. The
method is used to process the specified ECG signal into standardized data, and further
verify the processing method by the established ECG classification model. The
experimental results show that the method is available, and the appropriate threshold of
剩余89页未读,继续阅读
资源评论
2201_75761617
- 粉丝: 21
- 资源: 7339
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功