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- 저자 : Xuequan Huang (검색결과 2 건)
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Cuiping Li,Jiuqiang Han,Qibin Huang,Xiaoqiang Dong,Xuequan Ding,Yaming Ding,Dianguo Zhang,Ning Mu 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
It is very difficult to apply non-dispersive infrared sensor to detect the indoor air quality and maintain very low zero and temperature drift over long periods. Frequently manual zero setting and calibration are required. To solve the issues of zero and temperature drift of non-dispersive infrared sensor, a software model based on zero gas intensity, reference channels intensity, standard temperature, environmental temperature, temperature drift coefficient, etc. has been established to automatically modify and compensate the zero and temperature drift existing in the long-term continuous operation of the infrared sensor. The test result and long-term application indicate the detection precision of the instrument is less than 5%F.S in various changing environmental conditions. The average detection precision of carbon dioxide has been improved from 9.26% before comprehensive processing to 1.23% after processing, while the average detection precision of methane has been improved from 10.61% before comprehensive processing to 0.70% after processing. As a result, the disadvantages existing in many gas detectors including poor stability and short calibration cycle have been overcome, thus effectively improving the detection precision and stability of the instrument and reducing the maintenance cost.
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Yu Xiang,Jinyue He,Ruonan Bai,Huorong Gou,Fei Luo,Xuequan Huang,Zehua Zhang 대한척추신경외과학회 2023 Neurospine Vol.20 No.4
Objective: To investigate the value of Hounsfield units (HUs) as an independent predictor of failed percutaneous drainage of spinal tuberculosis paraspinal abscess under computed tomography (CT) guidance. Methods: A retrospective analysis was conducted on 61 patients who underwent CT-guided percutaneous drainage for spinal tuberculosis paraspinal abscess between October 2017 and October 2020. Preoperative CT scans were used to measure the HUs of the abscess. Patients were categorized into successful drainage (n = 49) and failed drainage (n = 12) groups. Statistical analysis involved independent sample t-tests and chi-square tests to compare between the 2 groups. Binary logistic regression was performed to identify independent predictive factors for drainage failure. Receiver operating characteristic (ROC) curves were employed to ascertain risk factor thresholds and diagnostic performance. Results: Among the patients, 49 experienced successful drainage while 12 faced drainage failure. The mean HUs of abscesses in the failed drainage group were significantly higher than those in the successful drainage group (p < 0.001). ROC analysis revealed an area under the curve of 0.897 (95% confidence interval, 0.808–0.986) for predicting drainage failure based on HUs. The optimal HU cutoff value for predicting drainage failure was 22.3, with a sensitivity of 91.7% and specificity of 69.4%. Conclusion: HUs are an independent predictor of failed percutaneous drainage of spinal tuberculosis paraspinal abscess under CT guidance. The HU value of 22.3 can be used as an initial screening threshold for predicting the success or failure of drainage.
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