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.
|Titolo:||A wearable wireless system for gait analysis for early diagnosis of Alzheimer and Parkinson disease|
|Data di pubblicazione:||2016|
|Nome del convegno:||5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016|
|Digital Object Identifier (DOI):||10.1109/ICEDSA.2016.7818553|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|