An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans
An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans
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DOI：
10.1109/tnsre.2011.2162250
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发表时间：
2011-12-01
影响因子：
4.9
通讯作者：
Robinovitch, Stephen N.
中科院分区：
文献类型：
--
作者：
Aziz, Omar;Robinovitch, Stephen N.
跌倒是老年人受伤的头号原因。可穿戴传感器通常由加速度计和/或陀螺仪组成，代表了预防和减轻跌倒影响的一种有前途的技术。目前，这种“动态跌倒监测仪”的目标是检测跌倒的发生，并提醒护理提供者注意这一事件。未来的系统还可能提供有关跌倒原因和情况的信息，以帮助临床诊断和确定干预措施的目标。作为实现这一目标的第一步，当前研究的目的是开发和评估可穿戴传感器系统的准确性，以确定跌倒的原因。16名年轻人参加了因滑倒、绊倒和“其他”不平衡原因而跌倒的实验试验。在跌落试验中获得的三维加速度数据被输入到线性判别分析技术中。使用三个标记（左脚踝、右脚踝和胸骨）的加速度数据，该常规在区分跌倒原因方面达到96%的灵敏度和98%的特异性。相比之下，单个标记提供54%的灵敏度，两个标记提供89%的灵敏度。这些结果表明了三节点加速度计阵列在识别跌倒原因方面的实用性。
Falls are the number one cause of injury in older adults. Wearable sensors, typically consisting of accelerometers and/or gyroscopes, represent a promising technology for preventing and mitigating the effects of falls. At present, the goal of such "ambulatory fall monitors" is to detect the occurrence of a fall and alert care providers to this event. Future systems may also provide information on the causes and circumstances of falls, to aid clinical diagnosis and targeting of interventions. As a first step towards this goal, the objective of the current study was to develop and evaluate the accuracy of a wearable sensor system for determining the causes of falls. Sixteen young adults participated in experimental trials involving falls due to slips, trips, and "other" causes of imbalance. Three-dimensional acceleration data acquired during the falling trials were input to a linear discriminant analysis technique. This routine achieved 96% sensitivity and 98% specificity in distinguishing the causes of a falls using acceleration data from three markers (left ankle, right ankle, and sternum). In contrast, a single marker provided 54% sensitivity and two markers provided 89% sensitivity. These results indicate the utility of a three-node accelerometer array for distinguishing the cause of falls.