Giansanti Daniele
Dipartimento di Tecnologie e Salute, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.
Physiol Meas. 2006 Nov;27(11):1081-90. doi: 10.1088/0967-3334/27/11/003. Epub 2006 Sep 11.
A clinical tool and an associated test that can assess fall-risk in elderly patients have been designed. The clinical tool was based on a wearable device with accelerometers and rate gyroscopes to identify trunk kinematic parameters. The test was based on a posturography protocol with different constraints and statistical analysis of the kinematic parameters. Statistical clustering based on the Mahalanobis distance was carried out using three groups of 30 subjects (1, age < 65 years; 2, age > or = 65 years and 3, age > or = 65 years and a fall history). The method was statistically validated using three groups of 100 subjects. The test allowed discrimination of elderly subjects with a high fall-risk with high specificity > or = 0.930 and sensitivity > or = 0.939.
已经设计出一种可评估老年患者跌倒风险的临床工具及相关测试。该临床工具基于一种带有加速度计和速率陀螺仪的可穿戴设备，用于识别躯干运动学参数。该测试基于一种具有不同约束条件的姿势描记法方案以及运动学参数的统计分析。使用三组各30名受试者（1. 年龄<65岁；2. 年龄≥65岁；3. 年龄≥65岁且有跌倒史）进行基于马氏距离的统计聚类。该方法使用三组各100名受试者进行了统计学验证。该测试能够以高特异性≥0.930和高灵敏度≥0.939区分跌倒风险高的老年受试者。
