RESUMO
Artificial lateral line is a multi-sensor system, mimicking the lateral line of fish to perceive the parameters of flow field. However, it can easily lead to information loss or redundancy with limited number of sensors due to unsuitable sensor placement. An optimal weight analysis algorithm is proposed to solve the problem on sensor placement of robotic fish. Firstly, signal features are extracted from the pressure data, which are collected from candidate sensor locations in different conditions. Then the improved distance evaluation is used to assess each feature, and the feature distance factor is regarded as the weight for distinguishing. Combined with the analysis of variance, the contribution vector of sensor locations is obtained. Three indexes selected by the algorithm are introduced to compare the sensor subsets. The results in both simulation and experiment show the effectiveness of the algorithm. The optimal number of sensors on the robotic fish is also studied.
RESUMO
OBJECTIVE: To explore the experimental method of obtaining position emission tonogiaphy (PET) imaging evidence of changes in cerebral function by puncturing the Stomach 36 (ST36, Zusanli) acupoint. METHODS: Data on changes of cerebral glycometabolism were obtained from six healthy male volunteers with positron emission tomography. Visual experimental evidence, as well as statistical parametric mapping (SPM), was gathered while puncturing the ST36 (Zusanli, right leg) acupoint. RESULTS: There was increased glycometabolism in the hypothalamus, head of the caudate nucleus, temporal lobe, the sinistral cerebellum, postcentral gyrus, and brain stem while the acupoint ST36 was being punctured. CONCLUSIONS: Acupuncture on ST36 can lead to increase in glycometabolism in the vegetative nerve centers, which is correlated with gastric function. Visual experimental evidence of ST36 acupuncturing on functional gastrointestinal disorder was obtained in our study.