Deep Neural Network-based Speaker-Aware Information Logging for Augmentative and Alternative Communication

People with complex communication needs can use a high-technology augmentative and alternative communication device to communicate with others.Currently,researchers and clinicians often use data logging from high-tech augmentative and alternative communication devices to analyze augmentative and alternative communication user performance.However,existing automated data logging systems cannot differentiate the authorship of the data log when more than one user accesses the device.This issue reduces the validity of the data logs and increases the difficulties of performance analysis.Therefore,this paper presents a solution using a deep neural network-based visual analysis approach to process videos to detect different augmentative and alternative communication users in practice sessions.This approach has significant potential to improve the validity of data logs and ultimately to enhance augmentative and alternative communication outcome measures.

电针与氟西汀治疗抑郁症疗效的对照研究

目的 对比电针与氟西汀治疗抑郁症的疗效。方法 将 95例抑郁症患者随机分为电针组 ( 31例 )、氟西汀组 ( 32例 )及安慰剂组 ( 32例 )。电针组采用智能电针仪治疗 ,用抗抑郁波型 ,以毫针针刺百会、印堂穴 ,强度 2～ 3V ,4 5min/次 ,1次 /d ,每周 5次 ,同时服安慰剂 ;氟西汀组予氟西汀胶囊 2 0mg/d ,并接受模拟电针 ;安慰剂组用安慰剂并接受模拟电针 ;疗程 6周。于治疗前及治疗中每 2周评定 1次汉密尔顿抑郁量表 (HAMD)、Asberg抗抑郁药副作用量表、抑郁自评量表 (SDS)、临床总体印象量表 (CGI)。结果 治疗第 6周末 ,电针组的HAMD总分 [( 10 19± 5 88)分 ]低于安慰剂组[( 13 88± 8 2 9)分 ;P <0 0 5 ],SDS评分 [( 5 3 0 2± 9 6 7)分 ]亦低于安慰剂组 [( 6 0 0 0± 12 89)分 ;P <0 0 5 ];安慰剂组CGI中的病情严重程度 [( 3 16± 1 32 )分 ]重于电针组 [( 2 4 2± 1 0 3)分 ]和氟西汀组[( 2 5 6± 1 13)分 ;P <0 0 5 ],总体进步分 [( 2 84± 1 2 7)分 ]低于电针组 [( 2 10± 0 94 )分 ;P <0 0 1]和氟西汀组 [( 2 2 5± 1 0 8)分 ;P <0 0 5 ];电针组与氟西汀组各项评分的差异均无显著性。三组Asberg量表评分差异无显著性。