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.
A wearable wireless system for gait analysis for early diagnosis of Alzheimer and Parkinson disease / Margiotta, N.; Avitabile, G.; Coviello, G.. - (2016). (Intervento presentato al convegno 5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016 tenutosi a Ras Al Khaimah, UAE nel December 6-8, 2016.) [10.1109/ICEDSA.2016.7818553].
A wearable wireless system for gait analysis for early diagnosis of Alzheimer and Parkinson disease
Margiotta, N.;Avitabile, G.;Coviello, G.
2016-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
