Roehampton University-Life Sciences, London, UK.
Age Ageing. 2011 Nov;40(6):690-6. doi: 10.1093/ageing/afr050. Epub 2011 May 19.
to study the sensitivity and specificity of fall detection using mobile phone technology.
an experimental investigation using motion signals detected by the mobile phone.
the research was conducted in a laboratory setting, and 18 healthy adults (12 males and 6 females; age = 29 ± 8.7 years) were recruited.
each participant was requested to perform three trials of four different types of simulated falls (forwards, backwards, lateral left and lateral right) and eight other everyday activities (sit-to-stand, stand-to-sit, level walking, walking up- and downstairs, answering the phone, picking up an object and getting up from supine). Acceleration was measured using two devices, a mobile phone and an independent accelerometer attached to the waist of the participants.
Bland-Altman analysis shows a higher degree of agreement between the data recorded by the two devices. Using individual upper and lower detection thresholds, the specificity and sensitivity for mobile phone were 0.81 and 0.77, respectively, and for external accelerometer they were 0.82 and 0.96, respectively.
fall detection using a mobile phone is a feasible and highly attractive technology for older adults, especially those living alone. It may be best achieved with an accelerometer attached to the waist, which transmits signals wirelessly to a phone.
研究使用手机技术进行跌倒检测的灵敏度和特异性。
使用手机检测到的运动信号进行的实验研究。
研究在实验室环境中进行，共招募了 18 名健康成年人（12 名男性和 6 名女性；年龄=29±8.7 岁）。
要求每位参与者进行三次四种不同类型的模拟跌倒（向前、向后、向左和向右）和其他八种日常活动（从坐姿到站姿、从站姿到坐姿、水平行走、上下楼梯、接电话、捡东西和从仰卧位起身）的试验。使用两个设备（手机和附在参与者腰部的独立加速度计）测量加速度。
Bland-Altman 分析显示，两个设备记录的数据之间具有更高的一致性。使用个体的上下检测阈值，手机的特异性和灵敏度分别为 0.81 和 0.77，外部加速度计的特异性和灵敏度分别为 0.82 和 0.96。
使用手机进行跌倒检测是一种可行且对老年人极具吸引力的技术，尤其是独居的老年人。最好使用附在腰部的加速度计，并通过无线方式将信号传输到手机上。
