描述一种实时、在体测量人体软组织生物力学特性的信息采集系统。系统将加载/减载动态控制、力学参数测量与B/M型二维超声测量等理论和技术结合起来，在对人体施加动态负载的同时，检测其负载力学习响应特性。系统还配有万向固定支架，可灵活地对人体各部位软组织生物力学特性进行量在体评价。

Electroencephalogram (EEG) based biofeedback is widely employed to treat certain kinds of diseases especially Attention Deficit Hyperactivity Disorder (ADD/ADHD). Thus to design a system capable of tearning a particular mapping between EEG features and different attention-level mental tasks is of great significance. Event Related Potentials (EM) is such a powerful feature which is traditionally extracted by averaging. The paper proposed a new EFW extraction algorithm using radial basis function (RBF) neural network. It discussed the configuration, learning and running of the designed network. In order to reduce computational complexity and the influence of noise in, estimating EFW, the partial least square regression was introduced to train the RBF network. Series experiments’showed that the method is effective and is suitable for single-trail ERP estimation.

This paper describes an ongoing researched remote rehabilitation assessment system that has a 6-freedom double-eyes vision robot to catch vision information, and a group of wearable sensors to acquire biomechanical signals. A server computer is fixed on the robot, to provide services to the robot’s controller and all the sensors. The robot is connected to Internet by wireless channel, and so do the sensors to the robot. Rehabilitation professionals can semi-automatically practise an assessment program via Internet. The preliminary results show that the smart device, including the robot and the sensors, can improve the quality of remote assessment, and reduce the complexity of operation at a distance.

目的 介绍基于统一建模语言（UML）及Rose开发的远程康复及其软件系统。方法 以远程评定子系统为例，对用例图、合作框图和类图进行详细说明。结果和结论 开发出了基于uML的远程康复软件系统模型。

目的 利用可视化工具包Visualization Toolkit（VTK）结合VC++实现医学图像三维可视化。方法 基于头部CT测量数据，采用Marching Cubes算法和Raycasting算法重建出头模型的表皮和颅骨。结果和结论 VTK使用灵活，功能强大，利用它进行图像重建，具有重建步骤简单、效果好、速度快、交互能力强等优点，可以被广泛应用于医学图像的重建中。

Prevention of pressure ulcer (PU) has been hampered for a long time by limitations of present risk assessment methodologies for carers. This paper introduces a novel solution of a portable bioimpedance spectrometer (BIS), which is designed to detect in vivo subtle changes in electrical properties of tissues at the portentous onset of PU and thereby establish a reliable assessment method for early detection of PU. The principle of the modified tetrapolar method applied in BIS and system designing methodology are explained thoroughly in this paper. The BIS system can measure complex impedance of human tissues over a wide range of frequencies from 10Hz to 1MHz based on direct digital synthesis (DDS) technique. Different from conventional bioimpedance measuring systems based on phase sensitive detection, the new BIS system shows its integrity in theoretical analysis and simplicity in practical implementation. As an objective, fast, straightforward, and inexpensive technique that captures fundamentally different information than subjective assessment and optical judgment, the new BIS may bring to clinical use for risk assessment of PU in the future.