IEEE J Biomed Health Inform. 2018 Nov;22(6):1863-1870. doi: 10.1109/JBHI.2017.2787595. Epub 2017 Dec 27.
Increasing prevalence of dementia has posed several challenges for care-givers. Patients suffering from dementia often display wandering behavior due to boredom or memory loss. It is considered to be one of the challenging conditions to manage and understand. Traits of dementia patients can compromise their safety causing serious injuries. This paper presents investigation into the design and evaluation of wandering scenarios with patients suffering from dementia using an S-band sensing technique. This frequency band is the wireless channel commonly used to monitor and characterize different scenarios including random, lapping, and pacing movements in an indoor environment. Wandering patterns are characterized depending on the received amplitude and phase information of that measures the disturbance caused in the ideal radio signal. A secondary analysis using support vector machine is used to classify the three patterns. The results show that the proposed technique carries high classification accuracy up to 90% and has good potential for healthcare applications.
痴呆症患病率的上升给护理人员带来了诸多挑战。痴呆症患者常因无聊或记忆力减退而出现漫游行为。这种情况被认为是最难管理和理解的情况之一。痴呆症患者的特征可能会危及他们的安全，导致严重伤害。本文研究了使用 S 波段感应技术对患有痴呆症的患者进行漫游场景的设计和评估。该频段是无线信道中常用的频段，用于监测和描述包括室内环境中的随机、重叠和踱步等不同场景。根据接收幅度和相位信息来描述漫游模式，这些信息衡量理想无线电信号中干扰的程度。使用支持向量机进行二次分析，以对这三种模式进行分类。结果表明，该技术的分类准确率高达 90%，具有很好的医疗保健应用潜力。
