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Acquisition And Analysis System Design For Multi-physiological Signals Facing Stress Evaluation

Posted on:2014-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y J HouFull Text:PDF
GTID:2268330392464164Subject:Biomedical engineering
Abstract/Summary:PDF Full Text Request
Stress automatic identification and evaluation can help people analysis the factorsthat can cause stress reaction in their life so that they can take appropriate measures to dothe emotional intervention. Stress evaluation based on multiple physiological parametersfusion can be more objective and correct in reflecting changes of people’s emotional stateand help high pressure groups restore psychological health. It is a significant researchwork.This article make the emotional stress assessment based on multiple physiologicalparameters as the target, and make the design of multiple physiological parametersacquisition and analysis system as the core, designed and accomplished a stress evaluationsystem based on multiple physiological parameters fusion.Considering that traditional collecting device system for physiological signals had thedisadvantages of complex structure and large size, with an inflexible configuration ofacquisition channels unable to accommodate a variety of biological signals. Adopting themodular design thought, designed the hardware circuit for ECG, EMG and EEG. MakeSTM32as the central processing unit to accomplish the collecting of ECG, EMG and EEGand send them to upper computer through USB.Using C#in Visual Studio2008compiler environment to develop an emotionalpressure measurement evaluation system to achieve the design for stress measurementevaluation interface and database calls. Upper computer software section do datapreprocessing based on wavelet analysis, accomplish multi-physiological signals’ fusionand stress state evaluation based on the improved SVM. Hoping that we can reflectsubjects’ real emotion state to help people who need the intervention.
Keywords/Search Tags:stress recognition, electrocatdiogram(ECG), electroencephalogram(EEG), electromyogrphy (EMG), STM32
PDF Full Text Request
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