目的探讨精神分裂症患者认知损害与阳性和阴性症状量表(positive and negative syndrome scale,PANSS) 5因子模型之间的关系。方法选取首发或者复发未治疗住院的精神分裂症患者130名和85名健康对照,采用精神分裂症认知功能成套测验中文...目的探讨精神分裂症患者认知损害与阳性和阴性症状量表(positive and negative syndrome scale,PANSS) 5因子模型之间的关系。方法选取首发或者复发未治疗住院的精神分裂症患者130名和85名健康对照,采用精神分裂症认知功能成套测验中文版(MATRICS consensus cognitive battery,MCCB)评估2组的认知功能,PANSS量表5因子模型评估患者的精神症状。结果患者组在MCCB测量的连线、符号编码、言语流畅、霍普金斯词语学习、空间广度、空间记忆、迷宫及情绪管理分测验评分均低于对照组( P <0.001);患者组在MCCB评估的认知维度与PANSS 5因子模型的关联性分析中,认知损害因子与信息处理加工速度、言语学习、推理及问题解决、社会认知能力均呈负相关( P <0.050),而其他因子与MCCB评估的认知维度均无相关。结论精神分裂症患者认知功能不同程度受损,其中信息处理加工速度受损程度更为严重;精神分裂症患者认知功能与阴性症状是相互独立的症状群,在患者治疗过程中,需要制定不同的方案。展开更多
This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get sp...This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get specific features of the licensed users'(LUs') signal, thus they cannot be applied in this situation without knowing the power of noise. On the other hand some algorithms that yield specific features are too complicated. In this paper, an algorithm based on the cyclostationary feature detection and theory of Hilbert transformation is proposed. Comparing with the conventional cyclostationary feature detection algorithm, this approach is more flexible i.e. it can flexibly change the computational complexity according to current electromagnetic environment by changing its sampling times and the step size of cyclic frequency. Results of simulation indicate that this approach can flexibly detect the feature of received signal and provide satisfactory detection performance compared to existing approaches in low Signal-to-noise Ratio(SNR) situations.展开更多
文摘目的探讨精神分裂症患者认知损害与阳性和阴性症状量表(positive and negative syndrome scale,PANSS) 5因子模型之间的关系。方法选取首发或者复发未治疗住院的精神分裂症患者130名和85名健康对照,采用精神分裂症认知功能成套测验中文版(MATRICS consensus cognitive battery,MCCB)评估2组的认知功能,PANSS量表5因子模型评估患者的精神症状。结果患者组在MCCB测量的连线、符号编码、言语流畅、霍普金斯词语学习、空间广度、空间记忆、迷宫及情绪管理分测验评分均低于对照组( P <0.001);患者组在MCCB评估的认知维度与PANSS 5因子模型的关联性分析中,认知损害因子与信息处理加工速度、言语学习、推理及问题解决、社会认知能力均呈负相关( P <0.050),而其他因子与MCCB评估的认知维度均无相关。结论精神分裂症患者认知功能不同程度受损,其中信息处理加工速度受损程度更为严重;精神分裂症患者认知功能与阴性症状是相互独立的症状群,在患者治疗过程中,需要制定不同的方案。
基金sponsored by National Basic Research Program of China (973 Program, No. 2013CB329003)National Natural Science Foundation of China (No. 91438205)+1 种基金China Postdoctoral Science Foundation (No. 2011M500664)Open Research fund Program of Key Lab. for Spacecraft TT&C and Communication, Ministry of Education, China (No.CTTC-FX201305)
文摘This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get specific features of the licensed users'(LUs') signal, thus they cannot be applied in this situation without knowing the power of noise. On the other hand some algorithms that yield specific features are too complicated. In this paper, an algorithm based on the cyclostationary feature detection and theory of Hilbert transformation is proposed. Comparing with the conventional cyclostationary feature detection algorithm, this approach is more flexible i.e. it can flexibly change the computational complexity according to current electromagnetic environment by changing its sampling times and the step size of cyclic frequency. Results of simulation indicate that this approach can flexibly detect the feature of received signal and provide satisfactory detection performance compared to existing approaches in low Signal-to-noise Ratio(SNR) situations.
