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Sensors 2014, 14(4), 6819-6827; doi:10.3390/s140406819

Detection of Freezing of Gait in Parkinson Disease: Preliminary Results

INRIA-LIRMM, Montpellier 34095, France
INRIA, Montbonnot 38330, France
CHU, Montpellier 34295, France
Author to whom correspondence should be addressed.
Received: 23 December 2013 / Revised: 9 April 2014 / Accepted: 10 April 2014 / Published: 15 April 2014
(This article belongs to the Special Issue Wearable Gait Sensors)
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Freezing of gait (FOG) is a common symptom in Parkinsonism, which affects the gait pattern and is associated to a fall risk. Automatized FOG episode detection would allow systematic assessment of patient state and objective evaluation of the clinical effects of treatments. Techniques have been proposed in the literature to identify FOG episodes based on the frequency properties of inertial sensor signals. Our objective here is to adapt and extend these FOG detectors in order to include other associated gait pattern changes, like festination. The proposed approach is based on a single wireless inertial sensor placed on the patient’s lower limbs. The preliminary experimental results show that existing frequency-based freezing detectors are not sufficient to detect all FOG and festination episodes and that the observation of some gait parameters such as stride length and cadence are valuable inputs to anticipate the occurrence of upcoming FOG events. View Full-Text
Keywords: freezing of gait (FOG); festination; inertial measurement units; gait parameters; Parkinson’s disease freezing of gait (FOG); festination; inertial measurement units; gait parameters; Parkinson’s disease

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Azevedo Coste, C.; Sijobert, B.; Pissard-Gibollet, R.; Pasquier, M.; Espiau, B.; Geny, C. Detection of Freezing of Gait in Parkinson Disease: Preliminary Results. Sensors 2014, 14, 6819-6827.

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