Next Article in Journal
Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm
Next Article in Special Issue
IMU-Based Joint Angle Measurement for Gait Analysis
Previous Article in Journal
Ozone Sensing Based on Palladium Decorated Carbon Nanotubes
Previous Article in Special Issue
Window Size Impact in Human Activity Recognition
Open AccessArticle

Detection of Freezing of Gait in Parkinson Disease: Preliminary Results

1
INRIA-LIRMM, Montpellier 34095, France
2
INRIA, Montbonnot 38330, France
3
CHU, Montpellier 34295, France
*
Author to whom correspondence should be addressed.
Sensors 2014, 14(4), 6819-6827; https://doi.org/10.3390/s140406819
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)
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
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.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop