Research On Smart Garments Oriented Sub-Health Evaluation System

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.