使用惯性体传感器对痴呆患者躁动进行连续、无创评估

Azziza Bankole, M. Anderson, Aubrey Knight, Kyunghui Oh, T. Smith-Jackson, M. Hanson, Adam T. Barth, J. Lach
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引用次数: 26

摘要

激动行为是痴呆症患者被安置在长期护理机构的最常见原因之一。这些行为是痛苦的标志,与患者及其护理人员受伤的风险增加有关。本研究旨在探索自定义惯性无线身体传感器网络(BSN)在客观检测和量化躁动方面的能力,并针对目前公认的主观临床测量方法——科恩-曼斯菲尔德躁动量表(CMAI)和攻击行为量表(ABS)——在养老院环境中进行验证。最终的目标是在一段较长的时间内对任何位置的物理搅拌进行连续、实时的监测。持续的纵向评估有助于及时对激动事件作出反应,以尽量减少患者的痛苦和受伤风险,更适当地滴定药物治疗,并使工作人员(或护理人员)能够成功地进行干预。六名被确定为具有激动行为高风险的患者参加了这项初步研究。患者接受了一系列以上有效的记忆和躁动测试。BSN节点在身体3个部位应用3小时,同时对行为进行标注。该过程随后对每个入组受试者重复两次。然后使用Teager能量分析对BSN数据进行处理,这是一种很有前途的方法,可以从惯性数据中提取出突然和重复的运动。基于构念效度测试的躁动(CMAI)和攻击(ABS)的结果是有希望的,并表明有必要进行更大样本量的额外研究。
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Continuous, non-invasive assessment of agitation in dementia using inertial body sensors
Agitated behavior is one of the most frequent reasons that patients with dementia are placed in long-term care settings. These behaviors are indicators of distress and are associated with increased risk of injury to the patients and their caregivers. This study aims to explore the ability of a custom inertial wireless body sensor network (BSN) to objectively detect and quantify agitation, validating against currently accepted subjective clinical measures -- the Cohen-Mansfield Agitation Inventory (CMAI) and the Aggressive Behavior Scale (ABS) -- within the nursing home setting. The ultimate goal is to enable continuous, real-time monitoring of physical agitation in any location over an extended period. Continuous, longitudinal assessment facilitates timely response to agitation events in order to minimize patient distress and risk for injury, to more appropriately titrate pharmacotherapy, and to enable staff (or caregivers) to successfully intervene. Six patients identified as being at high risk for agitated behaviors were enrolled in this pilot study. Patients underwent a series of the above validated tests of memory and agitation. The BSN nodes were applied at three sites on body for three hours while behaviors were annotated simultaneously. This process was subsequently repeated twice for each enrolled subject. The BSN data was then processed using Teager energy analysis, which an earlier study suggested was a promising method for extracting jerky and repetitive movements from inertial data. Results based on construct validity testing for agitation (CMAI) and aggression (ABS) were promising and suggest that additional study with larger sample sizes is warranted.
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