报告1例多系统萎缩(multiple system atrophy,MSA)伴抗利尿激素分泌不当综合征(syndrome of inap‐propriate antidiuretic hormone secretion,SIADHS)患者。患者为54岁男性,因反复晕厥、发热就诊。查体示平卧位转直立位3 min时血压下...报告1例多系统萎缩(multiple system atrophy,MSA)伴抗利尿激素分泌不当综合征(syndrome of inap‐propriate antidiuretic hormone secretion,SIADHS)患者。患者为54岁男性,因反复晕厥、发热就诊。查体示平卧位转直立位3 min时血压下降超过20 mmHg/10 mmHg,面部表情少,构音欠清,双侧咽反射消失,四肢肌张力增高,双上肢肌张力齿轮样增高,双上肢轮替试验笨拙,双手握拳试验笨拙,双足拍地运动笨拙,双上肢意向性震颤,双侧掌颌反射(+),双侧Babinski征(+)。胸部CT示肺部感染,血、尿炎性指标升高,血钠及血浆渗透压降低、尿钠升高,经抗感染治疗,肺部及泌尿系感染好转后体温未恢复正常。颅脑MRI示脑干、小脑萎缩。诊断MSA合并SIADHS、中枢性高热,予物理降温、降低环境温度、限水补钠后体温及血钠逐渐恢复正常。MSA合并SIADHS、中枢性高热临床罕见,本文分析该病例的诊治过程及复习相关文献,以提高临床医师对MSA非运动症状的认识,减少误诊、漏诊。展开更多
Abnormal driving behavior identification( ADBI) has become a research hotspot because of its significance in driver assistance systems. However,current methods still have some limitations in terms of accuracy and reli...Abnormal driving behavior identification( ADBI) has become a research hotspot because of its significance in driver assistance systems. However,current methods still have some limitations in terms of accuracy and reliability under severe traffic scenes. This paper proposes a new ADBI method based on direction and position offsets,where a two-factor identification strategy is proposed to improve the accuracy and reliability of ADBI. Self-adaptive edge detection based on Sobel operator is used to extract edge information of lanes. In order to enhance the efficiency and reliability of lane detection,an improved lane detection algorithm is proposed,where a Hough transform based on local search scope is employed to quickly detect the lane,and a validation scheme based on priori information is proposed to further verify the detected lane. Experimental results under various complex road conditions demonstrate the validity of the proposed ADBI.展开更多
基金Supported by the National Natural Science Foundation of China(No.61304205,61502240)Natural Science Foundation of Jiangsu Province(BK20141002)+1 种基金Innovation and Entrepreneurship Training Project of College Students(No.201710300051,201710300050)Foundation for Excellent Undergraduate Dissertation(Design) of Naning University of Information Science & Technology
文摘Abnormal driving behavior identification( ADBI) has become a research hotspot because of its significance in driver assistance systems. However,current methods still have some limitations in terms of accuracy and reliability under severe traffic scenes. This paper proposes a new ADBI method based on direction and position offsets,where a two-factor identification strategy is proposed to improve the accuracy and reliability of ADBI. Self-adaptive edge detection based on Sobel operator is used to extract edge information of lanes. In order to enhance the efficiency and reliability of lane detection,an improved lane detection algorithm is proposed,where a Hough transform based on local search scope is employed to quickly detect the lane,and a validation scheme based on priori information is proposed to further verify the detected lane. Experimental results under various complex road conditions demonstrate the validity of the proposed ADBI.
