Detection of Freezing of Gait in Parkinson Disease: Preliminary Results - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Journal Articles Sensors Year : 2014

Detection of Freezing of Gait in Parkinson Disease: Preliminary Results

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.
Fichier principal
Vignette du fichier
Detection of Freezing of Gait in Parkinson Disease Preliminary Results.pdf (421.01 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

lirmm-01238417 , version 1 (04-12-2015)

Identifiers

Cite

Christine Azevedo Coste, Benoît Sijobert, Roger Pissard-Gibollet, Maud Pasquier, Bernard Espiau, et al.. Detection of Freezing of Gait in Parkinson Disease: Preliminary Results. Sensors, 2014, 14 (4), pp.6819-6827. ⟨10.3390/s140406819⟩. ⟨lirmm-01238417⟩
454 View
615 Download

Altmetric

Share

More