Objective: Intelligent monitoring system of medical equipment can realize the intelligent dynamic management to equipment in the hospital wireless or wired network environment. Methods: Use of communication network, intelligent call, system monitoring and other means of science and technology to design the intelligent micro device state sensor. Results:System is mainly for hospital equipment, which can capture and management of medical equipment data. When the elderly have abnormal condition, it can send information through intelligent system, through identification and location, to realize the construction of equipment state information. Conclusion: Intelligent sensor in the system application can achieve the sharing of resources; realize the whole hand or full coverage of the intelligent health network system, providing an effective guarantee for the health of the masses.

This paper introduces such two methods for the software to detect and download its new version automatically as applying the mapped network drive in LAN and download through FTP in Internet. The implementation of auto running of the new version after update is also discussed.

Diagnosis, Differential ; Drugs, Chinese Herbal ; therapeutic use ; Eczema ; diagnosis ; drug therapy ; Humans

Aged ; Humans ; Lung Diseases, Fungal ; complications ; microbiology ; Male ; Pneumoconiosis ; complications

Objective: To investigate the morphological changes of cerebral blood vessels by digital subtraction angiography (DSA) in patients with central vertigo, so as to provide references for diagnosis and treatment of patients with central vertigo. Methods: Ninety-two patients suffering from central vertigo were subjected to cerebral angiography through femoral artery. The types, proportion, and distribution (site predilection and number of involved vessels) of the cerebrovascular abnormalities were observed and analyzed. Results: Of the 92 patients with central vertigo, cerebrovascular lesions were found in 137 sides, including 15 (10. 95%) anterior circulation lesions and 122 (89.05%) posterior circulation lesions. Thirty-one (33.7%) patients had 2 or more lesions. The most common lesion was vertibroarterial lesion accompanied with other cerebrovascular stenosis. The lesions included 39 (28.47%) sides with vertibro-basilar stenosis or occlusion, 13 (9.49%) sides with posterior cerebral artery stenosis or occlusion, and 59 (43.06%) sides with posterior circulation abnormalities. Conclusion: The posterior circulation stenoses or abnormalities might be the major reasons for central vertigo in middle- and old-age patients.

Drugs, Chinese Herbal ; adverse effects ; Humans ; Nephritis ; chemically induced ; prevention & control

Because of the long acquisition time and spin-echo planar imaging sequence, diffusion weight magnetic resonance image (DWI) should be denoised effectively to ensure the follow-up applications. The commonly used denoising methods which induced from gray level image lack the use of the specific information from multiple magnitude directions. This paper, therefore, proposes a modified linear minimum mean square error (LMMSE) denosing method used for DWI. The proposed method uses the local information to estimate the parameter of the Rician noise and modifies the LMMSE using the information of multiple magnitude directions synthetically. The simulation and experiment of the synthetic DWI and real human brain DWI dataset demonstrate that the proposed method can more effectively remove the Rician noise compared to the commonly used denoising method and improve the robustness and validity of the diffusion tensor magnetic resonance image (DTI).
Algorithms ; Brain ; anatomy & histology ; Computer Simulation ; Diffusion Magnetic Resonance Imaging ; Diffusion Tensor Imaging ; Humans ; Image Enhancement ; methods ; Image Interpretation, Computer-Assisted ; methods ; Least-Squares Analysis ; Reproducibility of Results

Acupuncture Therapy ; Acupuncture, Ear ; Adolescent ; Adult ; Child ; Conjunctivitis ; therapy ; Female ; Humans ; Male ; Young Adult

Objective To investigate the Ring Artifact Location Algorithm based on edge detection to eliminate the ring artifact.Methods The Sobel operator was used to extract the ring edge,and then an algorithm,which combined scan line searching with line fitting,was applied to determining the ring center and its size.Finally the linear interpolation algorithm was used to get rid of the ring artifact.Results This method was very effective to eliminate the ring artifact of both phantom and clinical images.Conclusion This algorithm is faster and more effective than the usual one and its speed and accuracy are improved.

Objective To develop the methods for determination of nitromethane,nitroethane,1-nitropropane,2-nitropropane in the air of workplace. Methods Nitromethane,nitroethane,1-nitropropane,2-nitropropane in the air of workplace were collected by active carbon tube,desorbed in ethyl acetate solution and detected by capillary gas chromatography (GC-FID). Results The linear concentration range of nitromethane,nitroethane,1-nitropropane,2-nitropropane was 43.2-345.3,177.6-1 421.0,68.5-547.7,24.1-192.4 ?g/ml respectively and the relative standard deviation was 1%-5%. Sampling efficiency was 100%,desorption efficiency was 91%-93%. The sample could be resaved at 4-10 ℃ for 5-7 days. Conclusion The method is applicable to determination of nitromethane,nitroethane,1-nitropropane,2-nitropropane in the air of workplace.