Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
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From a view point of an anesthesiologist, the article points out some design issues of modern monitors and anesthesia machines. User interface problems such as auto-adjusted amplitude display, excessively complicated menus, unreasonable switch arrangement, unsuitable alarm settings or identical cylinder connectors, may affect patient safety and increase anesthesiologists' workload or mental burden.
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Zhongguo Yi Liao Qi Xie Za Zhi · Jul 2006
Review[Research on the progress of neuroprosthesis for the limb motor system].
This paper reviews the current developing situation of neuroprostheses which are based on the functional electrical stimulation (FES) technique and are used to provide limb movements. It also discusses the major challenges of neuroprostheses, which will be faced in the future development and in the clinical applications for the rehabilitation of spinal cord injury and stroke.
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Zhongguo Yi Liao Qi Xie Za Zhi · Jul 2006
[Monitoring the depth of anesthesia using a fuzzy neural network based on EEG].
In this paper, a fuzzy neural network (FNN) is proposed for fusing the anesthesia information, and realizing the monitoring of the depth of anesthesia (DOA). EEG data from 31 patients undergoing general anesthesia with different anesthetic agents, and Kc complexity (Kc), approximate entropy (ApEn) were extracted and the fuzzy neural network was trained by 25 samples, and tested by the other 6 samples. The results show that the outputs of the fuzzy neural network whose inputs were Kc and ApEn obtained under the awake state and asleep state, exist obvious difference. It can be regarded as an quantitative index to estimate DOA.
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Zhongguo Yi Liao Qi Xie Za Zhi · Jul 2006
[Non-linear registration of MR brain images integrated with machine learning].
This paper presents a machine learning method to select best geometric features for deformable brain registration for each brain location. By incorporating those learned best attribute vector into the framework of HAMMER registration algorithm, The accuracy has increased by about 10% in estimating the simulated deformation fields. At the same time, on real MR brain images, we have found a great deal of improvement of registration in cortical regions.
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Zhongguo Yi Liao Qi Xie Za Zhi · Mar 2006
[Discussion about the application of risk management to medical devices].
Safety and effectiveness of medical devices is a focus of people's attention, which is also a central work for the government's administration. Carrying out safety standards of medical devices, implementing the quality system standards and risk management standards are supplemented with each other. The risk management is an indispensable part to the quality management system of medical devices.