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DEVELOPMENT OF A DEMENTIA-SPECIFIC GAIT PROFILE:A COMPUTATIONAL APPROACH

机译:痴呆特定步态特征的发展:一种计算方法

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The rate at which elderly are being diagnosed with dementia has accelerated over the recent years and it is alarming [1]. They are three times more likely to fall and over three times more likely to have severe injury compared to cognitively unimpaired elderly [2]. Consequently, recently there is an interest in the identification of biomarkers that can contribute towards, or establish, early detection and diagnosis of dementia. One of the characteristics of dementia is the inability of the patient to allocate attentional resources to concurrent tasks [1]. Consequently, towards the identification of biomarkers for the early detection of dementia, recent studies have used walking gait in conjunction with another cognitive or motor task and contrast performance to walking gait as a stand-alone task [3-5]. Typically, the temporal-spatial parameters of gait are being evaluated to identify individuals with the disease, the type of dementia and its progression.
机译:近年来,老年人被诊断为痴呆症的速度有所加快,这令人震惊[1]。与无认知能力的老年人相比,他们跌倒的可能性高三倍,遭受严重伤害的可能性高三倍以上[2]。因此,近来人们对鉴定可有助于或建立痴呆的早期检测和诊断的生物标记物感兴趣。痴呆症的特征之一是患者无法将注意力资源分配给并发任务[1]。因此,为了早期发现痴呆症的生物标志物的识别,最近的研究已经将步行步态与另一种认知或运动任务结合起来使用,并将步行步态作为独立任务对比了性能[3-5]。通常,正在评估步态的时空参数,以识别患有该疾病,痴呆类型及其进展的个体。

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