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从帕金森病患者的步态时空特征提取

Extracting Gait Spatiotemporal Properties from Parkinson's Disease Patients
课程网址: http://videolectures.net/nips09_sama_egs/  
主讲教师: Albert Sama
开课单位: 巴塞罗那技术公司
开课时间: 2010-01-19
课程语种: 英语
中文简介:
帕金森氏病(PD)是老年人常见的慢性进行性综合征。目前可用的局部放电治疗要么刺激大脑多巴胺受体,要么增加多巴胺合成。从长期来看,特别是从发病的第五年起,运动并发症的发生往往是观察到的。这种运动并发症是由于药物作用持续时间缩短而引起的。这种运动并发症影响患者步态的时空特性[8]。由于运动障碍和/或运动障碍的影响,步幅的长度和速度会发生变化,因此,在步态过程中对这些特性的在线测量有助于预测这些情况,从而警告患者(例如,降低跌倒风险)或远程保健系统。最近,为了测量这些类型的步态特性,开发了几种使用惯性传感器的方法[1、2、4、5、6]。使用双倒立摆模型[1,5]绑在腿上的陀螺仪可以获得步态特征,然而在日常生活活动中,将这些装置戴在腿上似乎是一个缺点,这使得该方法在临床环境中的应用范围得以保留。对于加速度计,它们通常位于主体L3区域附近躯干的背侧,因为它是COM位置。在这个位置,可以估计出三维复合加速度、速度和位移[2,4]。然而,据我们所知,没有一个用户友好的可穿戴设备/位置,患者可以在医院外使用。在这里,我们提出了一种基于支持向量机回归的方法,从位于腰部外侧的单个加速度计获得的加速度中提取时空特性,其优点是患者在日常生活中可以使用一个可穿戴系统,而不会有受伤或损坏设备的危险。
课程简介: The Parkinson’s disease (PD) is a frequent chronic progressive syndrome in the elderly population. Current available PD treatments either stimulate brain dopamine receptors or increase dopamine synthesis. In the long-term, especially from the fifth year of disease on, onset of motor complications is often observed. Such motor complications arise as a consequence of a reduction in the duration of the effect of the medication. This motor complications affects spatiotemporal properties during the gait of patients [8]. Length and speed of the steps change due to the effects known as dyskinesia and or akinesia, thus, and on-line measurement of these properties during gait may help to predict these situations and therefore warn the patient (e.g., minimizing risk of falling) or a remote health care system. Recently several approaches using inertial sensors have been developed with the aim of measure these types of gait properties [1, 2, 4, 5, 6]. The gait characteristics may be obtained using gyroscopes tied at legs using a double inverted pendulum model [1, 5], nevertheless wearing these devices on the legs during daily life activity seems a drawback, leaving the application scope of this method to clinical environments. In the case of accelerometers, they are usually positioned at the dorsal side of the trunk near the L3 region of the subject, since it is the CoM location. In this position, 3D CoM acceleration, velocity and displacement can be estimated [2, 4]. However, to the best of our knowledge, there is no a user-friendly wearable device/location, that patients may use outside the hospital. Here we propose a method, based on SVM-regression, to extract spatiotemporal properties from accelerations obtained from a single accelerometer positioned at the lateral side of the waist, with the advantage of being a wearable system the patients may use during their daily life, without danger of hurt or damaging the device.
关 键 词: ; 计算机科学; 计算机视觉; 信息提取
课程来源: 视频讲座网
最后编审: 2020-07-31:yumf
阅读次数: 28