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首页> 外文学位 >Wearable body area sensor networks for continuous dynamic health monitoring in daily activities: Case study of intelligent footwear system.
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Wearable body area sensor networks for continuous dynamic health monitoring in daily activities: Case study of intelligent footwear system.

机译：用于日常活动中连续动态健康监测的可穿戴人体区域传感器网络：智能鞋类系统的案例研究。

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摘要

The specific cares for elderly people and patients with chronic diseases have placed an increasing burden upon public healthcare systems, which calls for a continuous dynamic monitoring in daily activities to save time, cost and human resources as well as to prevent diseases in early stage. Most current technologies, however, are restricted in research laboratories or hospitals, and not reliable for continuous monitoring in everyday life, due to incomparability in rigidity of sensors and skin, heavy and bulky nodes and power sources, and complicated operations in body area sensor networks. The present work is aimed to design a wearable body area sensor network and implement a case for continuous dynamic monitoring in healthcare, based on investigations of various enabling technologies including textile sensors and body area sensor networks (BASNs). A suitable electronic interface for nano-carbon silicone composite textile sensors was presented, and a novel textile sensor matrix readout method was proposed which achieved a small crosstalk error (0.6%). They were adopted in a single-node in-shoe plantar pressure measurement and analysis system. In order to achieve multi-node networks, Bluetooth based BASN was investigated for its superior compatibility with mobile computing devices. A model for delay estimation of this BASN was established by calculation of time cost in each component, layer and process of total networks, involving distribution hypothesis, Poisson process analysis, and optimized configuration. The average difference in sampling frequency between experimental and simulation results was 5.73%. The intelligent footwear system, as a case of wearable BASN for continuous dynamic monitoring in daily activities, was then developed. It collects, during daily activities, foot information including plantar pressure, in-shoe temperature and humidity, centre of pressure (COP), and 3-axis foot accelerations. It demonstrated satisfactory accuracy, repeatability, and wearing comfort, and has been used for daily dynamic foot monitoring of human subjects. The obtained data provides new knowledge on foot conditions, life style and physiological status of the subjects, much needed for prevention, diagnosis and therapeutic treatments of foot disease, e.g., diabetic foot syndrome, athletic training, rehabilitation, as well as signalling of overweight.
机译：对老年人和慢性病患者的特殊护理给公共医疗系统增加了负担，要求在日常活动中进行连续动态监控以节省时间，成本和人力资源，并在早期预防疾病。然而，由于传感器和皮肤的刚性，笨重的节点和电源的不可比性以及人体传感器网络中的复杂操作，大多数当前的技术都局限于研究实验室或医院，并且在日常生活中的连续监控中并不可靠。 。本工作旨在设计可穿戴式人体区域传感器网络，并基于对包括纺织传感器和人体区域传感器网络（BASN）在内的各种使能技术的研究，为医疗保健中的连续动态监控实现一个案例。提出了一种适用于纳米碳有机硅复合纺织品传感器的电子接口，并提出了一种新的纺织品传感器矩阵读出方法，该方法实现了较小的串扰误差（0.6％）。它们被用于单节点鞋内足底压力测量和分析系统中。为了实现多节点网络，研究了基于蓝牙的BASN与移动计算设备的出色兼容性。通过计算整个网络的每个组件，层和过程的时间成本，建立了此BASN的延迟估计模型，该模型涉及分布假设，泊松过程分析和优化配置。实验结果和模拟结果之间的采样频率平均差异为5.73％。然后开发了智能鞋类系统，作为可穿戴BASN的实例，用于日常活动中的连续动态监控。它在日常活动中收集脚信息，包括脚底压力，鞋内温度和湿度，压力中心（COP）和三轴脚加速度。它显示出令人满意的准确性，可重复性和佩戴舒适度，并且已用于人类对象的日常动态脚部监测。所获得的数据提供了关于受试者的脚部状况，生活方式和生理状况的新知识，这对于预防，诊断和治疗脚部疾病（例如糖尿病足综合征，运动训练，康复以及超重信号）非常需要。

著录项

  • 作者

    Shu, Lin.;

  • 作者单位

    Hong Kong Polytechnic University (Hong Kong).;

  • 授予单位 Hong Kong Polytechnic University (Hong Kong).;
  • 学科 Textile research.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 187 p.
  • 总页数 187
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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