面向智能服装的亚健康评估系统的研究
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摘要
针对服装与人体的特有联系,提出用智能服装检测人体生理信号,即通过各类传感器检测人体生理信号,再经过信息处理模块,融合多生理信号,建立对人体的亚健康智能评估系统,实现亚健康的实时干预调理。该测评方法为亚健康的评估提供了一种新的方法,为实时从生理参数上评估亚健康作了初步的研究。
论文首先针对日益突出的亚健康问题,分析了亚健康的国内外研究现状,研究了亚健康的症状及其产生的原因,及从疲劳研究亚健康的可行性。简要介绍了亚健康的生理学、心理学与社会学基础,从理论上论证了心脏功能、体温变化、呼吸变化与亚健康之间的关系,提出一种嵌入服装式的亚健康评估系统,不受时间地点的限制,在不妨碍日常生活和工作中随时随地监测人体状况,通过监测得到的生理数据来智能评估亚健康状况,实现智能预警。
其次,结合智能服装成为监控人体健康医疗设备的研究热点,及服装与人体生理信号的密切联系,提出了从嵌入服装式研究亚健康评估系统的方法,简单规划了嵌入服装式亚健康评估系统的设计原则,功能要求及总体框架,并研究了系统的工作原理,设计了传感器的放置位置。
然后,介绍了嵌入服装式亚健康智能评估系统的开发平台及系统软件总体设计框图,重点阐述了实时显示模块、数据存储模块、数据回放模块及数据处理分析模块的实现方法,对LabVIEW数据库访问包LabSQL及LabVIEW和MATIAB的混编方法也做了相应的介绍。
接着,介绍了运动心电信号的主要噪声,针对运动心电信号的特征,应用小波技术对其作了简单的消噪处理并应用斜率阈值法对消噪后的心电信号进行波形检测,提取心电的基本特征参数,为亚健康的评估建模提供参数。
最后,通过提取的心电信号的特征参数,结合疲劳量表-14的测评结果,利用支持向量机对亚健康的评估模型作了初步研究。
论文的研究成果为进一步研究分析评估不同人群的亚健康提供了一种新的方法。
Aim at the close relations between garments and body, this thesis proposes a sub-health evaluation system embedded in smart garments. By detecting human physiologic signals through various biomedical sensors integrated in garment, we can process and analyze the ECG signal and fuse with multi-physiological signals, then establish the sub-health elevation system. This system realizes the real time intervention and recuperation. The proposed method is a new contribution to the sub-health evaluation. It is considered as the primary research for the real time sub-health evaluation by physiologic parameters.
Firstly, against the increasingly apparent sub-health problems, the thesis gives an analysis of the research actuality of sub-health at home and abroad, and studies the symptom of sub-health, reasons of its appearance and the possibility of doing the research based on fatigue. Before raising a sub-health evaluation system, this thesis briefly introduces the physiologic, psychological and sociological foundation of sub-health. The theoretic reasoning of the relations between heart function, temperature change, respiration change and sub-health are given too. The sub-health evaluation system receives the physiologic data to intelligently evaluate the health situation and realizes the smart forewarning. It can be progressed at any time and place without disturbing the daily life and work.
Secondly, in monitoring human health research, smart garments have been the medical equipment research hotspot, combined with this and the close relation between garments and human physiologic signal, the method of a sub-health evaluation system with embedded smart garments is raised. The thesis simply layouts the design principle, function demands and whole frame of this system. Besides, the working theory is studied and the placement of sensors is projected.
Then, the thesis introduces the platform of the sub-health evaluation system and its software design. The key expatiation refers to the method of realizing the real time display module, data storage module, data transfer module, data processing, and analysis module. The brief introduction of accessing LabVIEW database package LabSQL and the mixture programming method of LabVIEW and MATLAB are also given.
Next, the thesis discusses about the noise of movement ECG signal. Based on its character, it uses wavelet theory to carry through a simply denoising. The thesis detects the wave by slope-threshold method and extracts the basic ECG characteristic parameter, then supplies the parameters for sub-health evaluation module.
Finally, through the extracted ECG characteristic parameter and the assessment results of Fatigue-14, with the usage of support vector machine, a primary study of sub-health evaluation module has been achieved.
The research results of the thesis offer a new method to further analysis and evaluate the sub-health of different crowds.
论文首先针对日益突出的亚健康问题,分析了亚健康的国内外研究现状,研究了亚健康的症状及其产生的原因,及从疲劳研究亚健康的可行性。简要介绍了亚健康的生理学、心理学与社会学基础,从理论上论证了心脏功能、体温变化、呼吸变化与亚健康之间的关系,提出一种嵌入服装式的亚健康评估系统,不受时间地点的限制,在不妨碍日常生活和工作中随时随地监测人体状况,通过监测得到的生理数据来智能评估亚健康状况,实现智能预警。
其次,结合智能服装成为监控人体健康医疗设备的研究热点,及服装与人体生理信号的密切联系,提出了从嵌入服装式研究亚健康评估系统的方法,简单规划了嵌入服装式亚健康评估系统的设计原则,功能要求及总体框架,并研究了系统的工作原理,设计了传感器的放置位置。
然后,介绍了嵌入服装式亚健康智能评估系统的开发平台及系统软件总体设计框图,重点阐述了实时显示模块、数据存储模块、数据回放模块及数据处理分析模块的实现方法,对LabVIEW数据库访问包LabSQL及LabVIEW和MATIAB的混编方法也做了相应的介绍。
接着,介绍了运动心电信号的主要噪声,针对运动心电信号的特征,应用小波技术对其作了简单的消噪处理并应用斜率阈值法对消噪后的心电信号进行波形检测,提取心电的基本特征参数,为亚健康的评估建模提供参数。
最后,通过提取的心电信号的特征参数,结合疲劳量表-14的测评结果,利用支持向量机对亚健康的评估模型作了初步研究。
论文的研究成果为进一步研究分析评估不同人群的亚健康提供了一种新的方法。
Aim at the close relations between garments and body, this thesis proposes a sub-health evaluation system embedded in smart garments. By detecting human physiologic signals through various biomedical sensors integrated in garment, we can process and analyze the ECG signal and fuse with multi-physiological signals, then establish the sub-health elevation system. This system realizes the real time intervention and recuperation. The proposed method is a new contribution to the sub-health evaluation. It is considered as the primary research for the real time sub-health evaluation by physiologic parameters.
Firstly, against the increasingly apparent sub-health problems, the thesis gives an analysis of the research actuality of sub-health at home and abroad, and studies the symptom of sub-health, reasons of its appearance and the possibility of doing the research based on fatigue. Before raising a sub-health evaluation system, this thesis briefly introduces the physiologic, psychological and sociological foundation of sub-health. The theoretic reasoning of the relations between heart function, temperature change, respiration change and sub-health are given too. The sub-health evaluation system receives the physiologic data to intelligently evaluate the health situation and realizes the smart forewarning. It can be progressed at any time and place without disturbing the daily life and work.
Secondly, in monitoring human health research, smart garments have been the medical equipment research hotspot, combined with this and the close relation between garments and human physiologic signal, the method of a sub-health evaluation system with embedded smart garments is raised. The thesis simply layouts the design principle, function demands and whole frame of this system. Besides, the working theory is studied and the placement of sensors is projected.
Then, the thesis introduces the platform of the sub-health evaluation system and its software design. The key expatiation refers to the method of realizing the real time display module, data storage module, data transfer module, data processing, and analysis module. The brief introduction of accessing LabVIEW database package LabSQL and the mixture programming method of LabVIEW and MATLAB are also given.
Next, the thesis discusses about the noise of movement ECG signal. Based on its character, it uses wavelet theory to carry through a simply denoising. The thesis detects the wave by slope-threshold method and extracts the basic ECG characteristic parameter, then supplies the parameters for sub-health evaluation module.
Finally, through the extracted ECG characteristic parameter and the assessment results of Fatigue-14, with the usage of support vector machine, a primary study of sub-health evaluation module has been achieved.
The research results of the thesis offer a new method to further analysis and evaluate the sub-health of different crowds.
引文
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