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首页> 外文会议>Medical biometrics >Chaos Synchronization Detector Combining Radial Basis Network for Estimation of Lower Limb Peripheral Vascular Occlusive Disease
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Chaos Synchronization Detector Combining Radial Basis Network for Estimation of Lower Limb Peripheral Vascular Occlusive Disease

机译：混沌同步检测器结合径向基网络估计下肢周围血管阻塞性疾病

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摘要

Early detection of lower limb peripheral vascular occlusive disease (PVOD) is important to prevent patients from getting disabled claudication, ischemic rest pain and gangrene. This paper proposes a method for the estimation of lower limb PVOD using chaos synchronization (CS) detector with synchronous photoplethysmography (PPG) signal recorded from the big toes of both right and left feet for 21 subjects. The pulse transit time of PPG increases with diseased severity and the normalized amplitudes decreases in vascular disease. Synchronous PPG pulses acquired at the right and left big toes gradually become asynchronous as the disease progresses. A CS detector is used to track bilateral similarity or asymmetry of PPG signals, and to construct various butterfly motion patterns. Artificial neural network (ANN) was used as a classifier to classify and assess the PVOD severity. The results demonstrated that the proposed method has great efficiency and high accuracy in PVOD estimation.
机译：下肢周围血管闭塞性疾病（PVOD）的早期检测对于防止患者disabled行残疾，缺血性休息疼痛和坏疽至关重要。本文提出了一种利用混沌同步（CS）检测器与同步光电容积描记法（PPG）信号记录下左右脚大脚趾的下肢PVOD的21位受试者的估计方法。 PPG的脉冲通过时间随着疾病严重程度的增加而增加，而在血管疾病中标准化幅度降低。随着疾病的进展，左右大脚趾上采集的同步PPG脉冲逐渐变得异步。 CS检测器用于跟踪PPG信号的双边相似性或不对称性，并构造各种蝶形运动模式。人工神经网络（ANN）被用作分类器来分类和评估PVOD严重性。结果表明，该方法在PVOD估计中具有很高的效率和准确性。

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  • 来源
    《Medical biometrics》|2010年|p.126-136|共11页
  • 会议地点 Hong Kong(CN);Hong Kong(CN)
  • 作者

    Chia-Hung Lin; Yung-Fu Chen; Yi-Chun Du; Jian-Xing Wu; Tainsong Chen;

  • 作者单位

    Department of Electrical Engineering, Kao-Yuan University, Lu-Chu Hsiang,Kaohsiung 821, Taiwan;

    Department of Health Services Administration, China Medical University,Taichung 40402, Taiwan;

    institute of Biomedical Engineering, National Cheng Kung University,No. 1 University Road, Tainan 70101, Taiwan;

    institute of Biomedical Engineering, National Cheng Kung University,No. 1 University Road, Tainan 70101, Taiwan;

    institute of Biomedical Engineering, National Cheng Kung University,No. 1 University Road, Tainan 70101, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
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