A wearable wireless system for gait analysis for early diagnosis of Alzheimer and Parkinson disease

N. Margiotta, G. Avitabile, G. Coviello
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引用次数: 27

Abstract

The paper presents a wearable wireless system and a proprietary algorithm along with a preliminary study on the time gait variability analysis as a tool for early diagnosis. The system is non-invasive and it is composed by a set of Inertial Measurements Units (IMUs) positioned on the patient leg. Each unit in the set bases its operations on Bluetooth Low Energy (BLE) standard. Experimental results validating system capabilities are reported and discussed.
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一种可穿戴无线步态分析系统,用于阿尔茨海默病和帕金森病的早期诊断
本文提出了一种可穿戴无线系统和一种专有算法,并对时间步态变异性分析作为早期诊断工具进行了初步研究。该系统是非侵入性的,它由一组惯性测量单元(imu)组成,放置在患者的腿上。该套装中的每个单元都基于低功耗蓝牙(BLE)标准。对验证系统性能的实验结果进行了报告和讨论。
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