Research on Daily Stress Detection Based on Wearable Device
, 2017 现代生活普遍压力较大,容易引起消极痛苦的应激,导致不良情绪甚至滋生各类慢性病。心理专家需要了解个体的压力状态,从而开展对应性心理疏导和治疗。传统心理学自评法存在一定的主观性;基于生理多导仪的压力状态评估法,受设备体积所限无法用于日常压力状态评估。针对上述问题,该文采用可穿戴式传感设备实时采集个体生理信号,利用心理和生理的伴生关系,对个体的心理压力进行长期实时评估。同时通过蒙特利尔影像应激实验（MIST）诱发出被试平静、轻微及高度压力3种压力状态 ...
刘正奎 +5 more
core
, 2009 植物老化过程模拟包括物体表观采集技术是如今计算机图形学的热点研究内容，它在理论研究以及实际应用两方面都具有重要意义。本文对此领域中的问题进行了深入研究与探讨，取得了一定的研究成果。 植物的老化模拟和真实感绘制技术一直是图形学中一个富有挑战性的问题，它对于让计算机中真实表现自然物体和场景起着不可或缺的作用。随着研究与应用的深入，植物的真实感仿真程度越来越成为研究者关注的重点。人们力图从几何形状和表观纹理等多方面提高虚拟植物的真实感，以满足应用的要求。本文即针对植物老化过程的模拟方法进行了研究 ...
迟小羽
core
[Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning]. [PDF]
Zhejiang Da Xue Xue Bao Yi Xue BanFeng J +5 more
europepmc +1 more source
Gaoya dianqi为实现现场运行环境下电力变压器运行状态的可靠辨识，提出了一种基于鲁棒局部均值分解（robust local mean decomposition，RLMD）与声纹特征的变压器典型缺陷辨识方法。该方法首先利用RLMD方法实现原始采集声纹信号的降噪处理，再借助皮尔逊相关系数保留与原始声纹信号相关性强的子带分量；其次提取每个子带分量的声纹特征值组成变压器不同状态的特征参量矩阵；最后利用随机森林算法进行状态辨识。搭建了包含3种电力变压器设备典型故障的试验模拟系统，试验结果表明 ...
王磊磊 +5 more
doaj
[Early Alzheimer's disease recognition via multimodal hand movement quality assessment]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiYang G +5 more
europepmc +1 more source
[Drug repositioning prediction based on dynamic feature learning on heterogeneous graphs]. [PDF]
Nan Fang Yi Ke Da Xue Xue BaoZhu H, Guo Y, Xin X, Li C, Zhou D.
europepmc +1 more source
[Discrimination of macrotrabecular-massive hepatocellular carcinoma based on fusion of multi-phase contrast-enhanced computed tomography radiomics features]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiZhang Z +7 more
europepmc +1 more source
[An unsupervised three-dimensional medical image registration method based on shifted window Transformer and convolutional neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiLi Y, Ruan C, Ruan D.
europepmc +1 more source
[ResLSTM-TemporalSE: an automated classification model for multi-lead ECG signals]. [PDF]
Nan Fang Yi Ke Da Xue Xue BaoQu M, Fu R.
europepmc +1 more source