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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doaj-946a8bb1a1ba464390a192f164be088d2020-11-25T01:31:59ZengMDPI AGSensors1424-82202014-04-011446819682710.3390/s140406819s140406819Detection of Freezing of Gait in Parkinson Disease: Preliminary ResultsChristine Azevedo Coste0Benoît Sijobert1Roger Pissard-Gibollet2Maud Pasquier3Bernard Espiau4Christian Geny5INRIA-LIRMM, Montpellier 34095, FranceINRIA-LIRMM, Montpellier 34095, FranceINRIA, Montbonnot 38330, FranceINRIA, Montbonnot 38330, FranceINRIA, Montbonnot 38330, FranceCHU, Montpellier 34295, FranceFreezing 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.http://www.mdpi.com/1424-8220/14/4/6819freezing of gait (FOG)festinationinertial measurement unitsgait parametersParkinson’s disease |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christine Azevedo Coste Benoît Sijobert Roger Pissard-Gibollet Maud Pasquier Bernard Espiau Christian Geny |
spellingShingle |
Christine Azevedo Coste Benoît Sijobert Roger Pissard-Gibollet Maud Pasquier Bernard Espiau Christian Geny Detection of Freezing of Gait in Parkinson Disease: Preliminary Results Sensors freezing of gait (FOG) festination inertial measurement units gait parameters Parkinson’s disease |
author_facet |
Christine Azevedo Coste Benoît Sijobert Roger Pissard-Gibollet Maud Pasquier Bernard Espiau Christian Geny |
author_sort |
Christine Azevedo Coste |
title |
Detection of Freezing of Gait in Parkinson Disease: Preliminary Results |
title_short |
Detection of Freezing of Gait in Parkinson Disease: Preliminary Results |
title_full |
Detection of Freezing of Gait in Parkinson Disease: Preliminary Results |
title_fullStr |
Detection of Freezing of Gait in Parkinson Disease: Preliminary Results |
title_full_unstemmed |
Detection of Freezing of Gait in Parkinson Disease: Preliminary Results |
title_sort |
detection of freezing of gait in parkinson disease: preliminary results |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2014-04-01 |
description |
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. |
topic |
freezing of gait (FOG) festination inertial measurement units gait parameters Parkinson’s disease |
url |
http://www.mdpi.com/1424-8220/14/4/6819 |
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