Quagliarella L, Sasanelli N, Belgiovine G
Sezione di Ingegneria Biomedica, Dip. di Scienze Chirurgiche Generali e Specialistiche, Università di Bari, Italy.
Gait Posture. 2008 Nov;28(4):699-702. doi: 10.1016/j.gaitpost.2008.04.011. Epub 2008 Jul 26.
A device capable of automatically detecting a fall with loss of consciousness (FloC), and activate an alarm by means of an accelerometer sensor is presented. Four hundred trials were performed by 20 participants (10 young and 10 elderly adults). The algorithm relies on the recognition of the effects of three events characterizing a FLoC: impact of the body against the ground, lying and immobility. All FLoC cases were correctly detected as well as all activities of daily living (ADLs). This result corroborates both usefulness and applicability of the device proposed.
本文介绍了一种能够通过加速度计传感器自动检测意识丧失跌倒（FLoC）并触发警报的设备。20名参与者（10名年轻人和10名老年人）进行了400次试验。该算法依赖于识别表征FLoC的三个事件的影响：身体与地面的碰撞、躺下和静止不动。所有FLoC情况以及所有日常生活活动（ADL）均被正确检测。这一结果证实了所提出设备的实用性和适用性。
