Detection of freezing of gait in Parkinson disease: preliminary results

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 propo...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2014-04, Vol.14 (4), p.6819-6827
Main Authors: Coste, Christine Azevedo, Sijobert, Benoît, Pissard-Gibollet, Roger, Pasquier, Maud, Espiau, Bernard, Geny, Christian
Format: Article
Language:English
Subjects:
Biotechnology
Computer Science
Detectors
Falls
festination
Fog
Freezing
freezing of gait (FOG)
Freezing Reaction, Cataleptic
Gait
gait parameters
Humans
Hypotheses
Inertial
inertial measurement units
Parkinson disease
Parkinson Disease - diagnosis
Parkinson Disease - physiopathology
Parkinson's disease
Patients
Sensors
Signal Processing, Computer-Assisted
Wireless Technology
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s140406819