title: 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.
authors.affiliation: INRIA-LIRMM, Montpellier 34095, France. azevedo@lirmm.fr.
authors.forename: Christine Azevedo
authors.initials: CA
authors.lastname: Coste
authors.affiliation: INRIA-LIRMM, Montpellier 34095, France. benoit.sijobert@inria.fr.
authors.forename: Benoît
authors.initials: B
authors.lastname: Sijobert
authors.affiliation: INRIA, Montbonnot 38330, France. roger.pissard@inria.fr.
authors.forename: Roger
authors.initials: R
authors.lastname: Pissard-Gibollet
authors.affiliation: INRIA, Montbonnot 38330, France. pasquier@gmail.com.
authors.forename: Maud
authors.initials: M
authors.lastname: Pasquier
authors.affiliation: INRIA, Montbonnot 38330, France. espiau@inria.fr.
authors.forename: Bernard
authors.initials: B
authors.lastname: Espiau
authors.affiliation: CHU, Montpellier 34295, France. c-geny@chu-montpellier.fr.
authors.forename: Christian
authors.initials: C
authors.lastname: Geny
mesh_terms: D046352:Freezing Reaction, Cataleptic; D005684:Gait; D006801:Humans; D010300:Parkinson Disease / Q000175:diagnosis* / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted; D059015:Wireless Technology
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