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1

INRIA-LIRMM, Montpellier 34095, France

2

INRIA, Montbonnot 38330, France

3

CHU, Montpellier 34295, France





*

Author to whom correspondence should be addressed.



Abstract 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





Autor: Christine Azevedo Coste 1,* , Benoît Sijobert 1, Roger Pissard-Gibollet 2, Maud Pasquier 2, Bernard Espiau 2 and Christian Geny 3

Fuente: http://mdpi.com/



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