近年來國人因肥胖問題大幅提高罹患代謝症候群的盛行率，而代謝症候群更是引發心血管疾病與第二型糖尿病的高風險族群，此族群通常伴隨血壓、血糖與血脂上升等異常現象，容易造成動脈血管的病變。本研究藉由建構循環功能整合評估系統，透過實驗室現有的心電圖、雷射都卜勒血流儀，與自行開發的動脈血壓波形、光容積變化描計圖等設備，運用非侵入式量測技術快速評估主要動脈血管與局部血流的循環狀態，再以生物統計分析代謝症候群對血管特性的影響程度。
受試者依血管傷害程度由高至低為「糖尿病患者(Z組)」、「代謝症候群患者(A組)」、「未達標準之潛伏性代謝症候群者(B組)」、「非代謝症候群者(C組)」等四組。本研究藉由右手與右腳等體表部位偵測血壓與血流訊號，並運用時域、諧波分析參數評估差異。BPW參數可檢視身體主要動脈的血管特性變化，LDF參數則可檢視周邊血管的阻力狀況，而各參數變異率能協助評估身體調控的活動程度。
在儀器開發上，將自行研製的BPW診斷儀器實際應用於臨床量測，目前對於代謝症候群不同階段已具備良好解析能力，還可降低設備成本與維持訊號穩定性。透過非侵入式檢測提升使用者親和度，希望未來落實遠距醫療與居家照護的目標。在預防醫學上，藉由數據變化趨勢連結糖尿病、心血管疾病等慢性疾病之關連，未來可實現慢性疾病的早期檢測、早期預防，提升臨床應用價值。

Recently, the prevalence of Metabolic has been getting significantly higher due to the fat problems. Metabolic syndrome is a symptom, which will increase the risk of incidence of cardiovascular disease and type 2 diabetes. The condition is usually accompanied by high blood pressure, high blood sugar, and high blood lipid. In the late stage, it damaged easily not only to vascular but also caused arterial lesions. The aim of this study was to establish blood-flow monitoring system in the evaluation of metabolic syndrome, which integrated the measurement devices of Electrocardiogram (ECG), Blood Pressure Waveform(BPW), Photoplethysmography (PPG), and Laser Doppler Flowmetry (LDF). With these non-invasive technologies, we could quickly measure circulatory conditions from the peripheral blood flow, and observed how metabolic syndrome affected in vascular characteristics.
The subjects was classified into four groups according to their discrimination of the vascular lesions: the subject with diabetes was called Z group; the subject with metabolic syndrome was called A group; the subject with latent metabolic syndrome was called B group; the subject with non-metabolic syndrome was called C group. Through the analysis of blood flow and pressure signals from right hand and foot, we could find the difference between every groups by estimating the time-domain parameters, frequency-domain parameters, and the coefficient of variation parameters. BPW parameters could monitor the characteristic changes in arterial vascular, LDF parameters could monitor the resistance changes in peripheral vascular, and the coefficient of variation could evaluate the activities control in body.
On the aspect of instrument development, the BPW diagnostic device made in our lab has been used in clinical. In addition to good resolution, we could reduce the facility cost and maintain signal stability. Through the non-invasive technology, the user affinity will be enhanced. We aimed to achieve telemedicine and home care services. When it comes to preventive medicine, we expect to figure out the connection between diabetes and cardiovascular diseases by the analysis of our data, realize early detection and prevention for chronic disease in the future, and improve clinical application.

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