A wearable wireless sensing system for assisting patients affected by Parkinson's disease is proposed. It uses integrated micro-electro-mechanical inertial sensors able to recognize the episodes of involuntary gait freezing. The system operates in real time and is designed for outdoor and indoor applications. Standard tests were performed on a noticeable number of patients and healthy persons and the algorithm demonstrated its reliability and robustness respect to individual specific gait and postural behaviors. The overall performances of the system are excellent with a specificity higher than 97%.

Reliable and robust detection of freezing of gait episodes with wearable electronic devices / Kita, Ardian; Lorenzi, Paolo; Rao, Rosario; Irrera, Fernanda. - In: IEEE SENSORS JOURNAL. - ISSN 1530-437X. - STAMPA. - 17:6(2017), pp. 1899-1908. [10.1109/JSEN.2017.2659780]

Reliable and robust detection of freezing of gait episodes with wearable electronic devices

KITA, ARDIAN;LORENZI, PAOLO;RAO, ROSARIO;IRRERA, Fernanda
2017

Abstract

A wearable wireless sensing system for assisting patients affected by Parkinson's disease is proposed. It uses integrated micro-electro-mechanical inertial sensors able to recognize the episodes of involuntary gait freezing. The system operates in real time and is designed for outdoor and indoor applications. Standard tests were performed on a noticeable number of patients and healthy persons and the algorithm demonstrated its reliability and robustness respect to individual specific gait and postural behaviors. The overall performances of the system are excellent with a specificity higher than 97%.
2017
freezing of gait; inertial sensors; movement classification algorithms; wearable electronic device
01 Pubblicazione su rivista::01a Articolo in rivista
Reliable and robust detection of freezing of gait episodes with wearable electronic devices / Kita, Ardian; Lorenzi, Paolo; Rao, Rosario; Irrera, Fernanda. - In: IEEE SENSORS JOURNAL. - ISSN 1530-437X. - STAMPA. - 17:6(2017), pp. 1899-1908. [10.1109/JSEN.2017.2659780]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/936838
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