Detection of freezing of gait in Parkinson disease: preliminary results.
Identifieur interne : 000581 ( PubMed/Corpus ); précédent : 000580; suivant : 000582Detection of freezing of gait in Parkinson disease: preliminary results.
Auteurs : Christine Azevedo Coste ; Benoît Sijobert ; Roger Pissard-Gibollet ; Maud Pasquier ; Bernard Espiau ; Christian GenySource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Parkinson Disease.
- physiopathology : Parkinson Disease.
- Freezing Reaction, Cataleptic, Gait, Humans, Signal Processing, Computer-Assisted, Wireless Technology.
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.
DOI: 10.3390/s140406819
PubMed: 24740014
Links to Exploration step
pubmed:24740014Le document en format XML
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roger.pissard@inria.fr.</nlm:affiliation></affiliation></author><author><name sortKey="Pasquier, Maud" sort="Pasquier, Maud" uniqKey="Pasquier M" first="Maud" last="Pasquier">Maud Pasquier</name><affiliation><nlm:affiliation>INRIA, Montbonnot 38330, France. pasquier@gmail.com.</nlm:affiliation></affiliation></author><author><name sortKey="Espiau, Bernard" sort="Espiau, Bernard" uniqKey="Espiau B" first="Bernard" last="Espiau">Bernard Espiau</name><affiliation><nlm:affiliation>INRIA, Montbonnot 38330, France. espiau@inria.fr.</nlm:affiliation></affiliation></author><author><name sortKey="Geny, Christian" sort="Geny, Christian" uniqKey="Geny C" first="Christian" last="Geny">Christian Geny</name><affiliation><nlm:affiliation>CHU, Montpellier 34295, France. c-geny@chu-montpellier.fr.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:24740014</idno><idno 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sort="Pissard Gibollet, Roger" uniqKey="Pissard Gibollet R" first="Roger" last="Pissard-Gibollet">Roger Pissard-Gibollet</name><affiliation><nlm:affiliation>INRIA, Montbonnot 38330, France. roger.pissard@inria.fr.</nlm:affiliation></affiliation></author><author><name sortKey="Pasquier, Maud" sort="Pasquier, Maud" uniqKey="Pasquier M" first="Maud" last="Pasquier">Maud Pasquier</name><affiliation><nlm:affiliation>INRIA, Montbonnot 38330, France. pasquier@gmail.com.</nlm:affiliation></affiliation></author><author><name sortKey="Espiau, Bernard" sort="Espiau, Bernard" uniqKey="Espiau B" first="Bernard" last="Espiau">Bernard Espiau</name><affiliation><nlm:affiliation>INRIA, Montbonnot 38330, France. espiau@inria.fr.</nlm:affiliation></affiliation></author><author><name sortKey="Geny, Christian" sort="Geny, Christian" uniqKey="Geny C" first="Christian" last="Geny">Christian Geny</name><affiliation><nlm:affiliation>CHU, Montpellier 34295, France. c-geny@chu-montpellier.fr.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Freezing Reaction, Cataleptic</term><term>Gait</term><term>Humans</term><term>Parkinson Disease (diagnosis)</term><term>Parkinson Disease (physiopathology)</term><term>Signal Processing, Computer-Assisted</term><term>Wireless Technology</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Freezing Reaction, Cataleptic</term><term>Gait</term><term>Humans</term><term>Signal Processing, Computer-Assisted</term><term>Wireless Technology</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24740014</PMID><DateCreated><Year>2014</Year><Month>04</Month><Day>17</Day></DateCreated><DateCompleted><Year>2015</Year><Month>04</Month><Day>06</Day></DateCompleted><DateRevised><Year>2015</Year><Month>08</Month><Day>06</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1424-8220</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>4</Issue><PubDate><Year>2014</Year><Month>Apr</Month><Day>15</Day></PubDate></JournalIssue><Title>Sensors (Basel, Switzerland)</Title><ISOAbbreviation>Sensors (Basel)</ISOAbbreviation></Journal><ArticleTitle>Detection of freezing of gait in Parkinson disease: preliminary results.</ArticleTitle><Pagination><MedlinePgn>6819-27</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3390/s140406819</ELocationID><Abstract><AbstractText>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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Coste</LastName><ForeName>Christine Azevedo</ForeName><Initials>CA</Initials><AffiliationInfo><Affiliation>INRIA-LIRMM, Montpellier 34095, France. azevedo@lirmm.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sijobert</LastName><ForeName>Benoît</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>INRIA-LIRMM, Montpellier 34095, France. benoit.sijobert@inria.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pissard-Gibollet</LastName><ForeName>Roger</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>INRIA, Montbonnot 38330, France. roger.pissard@inria.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pasquier</LastName><ForeName>Maud</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>INRIA, Montbonnot 38330, France. pasquier@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Espiau</LastName><ForeName>Bernard</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>INRIA, Montbonnot 38330, France. espiau@inria.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Geny</LastName><ForeName>Christian</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>CHU, Montpellier 34295, France. c-geny@chu-montpellier.fr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>04</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Sensors (Basel)</MedlineTA><NlmUniqueID>101204366</NlmUniqueID><ISSNLinking>1424-8220</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>J Rehabil Res Dev. 2013;50(2):223-30</RefSource><PMID Version="1">23761003</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Mov Disord. 2013 May;28(5):619-25</RefSource><PMID Version="1">23408374</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Mov Disord. 2004 Aug;19(8):871-84</RefSource><PMID Version="1">15300651</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neurosci. 2003 Jul 16;23(15):6351-6</RefSource><PMID Version="1">12867520</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Neuropsychologia. 2014 May;57:140-53</RefSource><PMID Version="1">24680722</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Gait Posture. 2007 Jul;26(2):200-7</RefSource><PMID Version="1">17046261</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neurosci Methods. 2008 Jan 30;167(2):340-8</RefSource><PMID Version="1">17928063</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neurol Neurosurg Psychiatry. 2008 Apr;79(4):368-76</RefSource><PMID Version="1">18344392</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Mov Disord. 2008 Apr 30;23(6):837-44</RefSource><PMID Version="1">18307261</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Behav Neurol. 2008;19(3):127-36</RefSource><PMID Version="1">18641432</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Mov Disord. 2008;23 Suppl 2:S423-5</RefSource><PMID Version="1">18668629</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Lancet Neurol. 2011 Aug;10(8):734-44</RefSource><PMID Version="1">21777828</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Parkinsonism Relat Disord. 2012 Jan;18(1):25-9</RefSource><PMID Version="1">21872523</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3484-7</RefSource><PMID Version="1">22255090</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Conf Proc IEEE Eng Med Biol Soc. 2012;2012:4656-9</RefSource><PMID Version="1">23366966</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neuroeng Rehabil. 2013;10:19</RefSource><PMID Version="1">23405951</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Gait Posture. 2013 Jun;38(2):326-9</RefSource><PMID 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