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...

Full description

Saved in:
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c677t-2d6fc9476fa50ca0725789c80c5db4e06904bfa204706322443fbf86703fda543
cites cdi_FETCH-LOGICAL-c677t-2d6fc9476fa50ca0725789c80c5db4e06904bfa204706322443fbf86703fda543
container_end_page 6827
container_issue 4
container_start_page 6819
container_title Sensors (Basel, Switzerland)
container_volume 14
creator Coste, Christine Azevedo
Sijobert, Benoît
Pissard-Gibollet, Roger
Pasquier, Maud
Espiau, Bernard
Geny, Christian
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.
doi_str_mv 10.3390/s140406819
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_946a8bb1a1ba464390a192f164be088d</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_946a8bb1a1ba464390a192f164be088d</doaj_id><sourcerecordid>1517880562</sourcerecordid><originalsourceid>FETCH-LOGICAL-c677t-2d6fc9476fa50ca0725789c80c5db4e06904bfa204706322443fbf86703fda543</originalsourceid><addsrcrecordid>eNqFkk1PFTEUhidGI4hu_AFmEjcGcvG0PdMPFyYEEUhuogtdN51Oe-l1ZnppZ0jk11u8iMCGVU_ap09PTt-qekvgkDEFHzNBQOCSqGfVLkGKC0kpPL9X71Svcl4DUMaYfFntUBQIQHC3Ov3iJmenEMc6-ton567DuLqpVyZMdRjr7yb9CmMuQBeyM9l9qjfJ9WEIo0m_6-Ty3E_5dfXCmz67N7frXvXz68mP47PF8tvp-fHRcmG5ENOCdtxbhYJ704A1IGgjpLISbNO16IArwNYbCiiAM0oRmW-95AKY70yDbK8633q7aNZ6k8JQmtDRBP13I6aVNmkKtndaITeybYkhrUGOZVKGKOoJx9aBlF1xfd66NnM7uM66cUqmfyB9eDKGC72KVxqBKs6hCA62gotH186OlroPaRg0EMokEnFFCv3h9rkUL2eXJz2EbF3fm9HFOWsiiFSUIzZPow0RUkLDaUHfP0LXcU5j-YNCMVWSQUAVan9L2RRzTs7ftUtA34RI_w9Rgd_dn8sd-i817A868r7O</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1539404109</pqid></control><display><type>article</type><title>Detection of freezing of gait in Parkinson disease: preliminary results</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Coste, Christine Azevedo ; Sijobert, Benoît ; Pissard-Gibollet, Roger ; Pasquier, Maud ; Espiau, Bernard ; Geny, Christian</creator><creatorcontrib>Coste, Christine Azevedo ; Sijobert, Benoît ; Pissard-Gibollet, Roger ; Pasquier, Maud ; Espiau, Bernard ; Geny, Christian</creatorcontrib><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.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s140406819</identifier><identifier>PMID: 24740014</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>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</subject><ispartof>Sensors (Basel, Switzerland), 2014-04, Vol.14 (4), p.6819-6827</ispartof><rights>Copyright MDPI AG 2014</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2014 by the authors; licensee MDPI, Basel, Switzerland. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c677t-2d6fc9476fa50ca0725789c80c5db4e06904bfa204706322443fbf86703fda543</citedby><cites>FETCH-LOGICAL-c677t-2d6fc9476fa50ca0725789c80c5db4e06904bfa204706322443fbf86703fda543</cites><orcidid>0000-0001-5204-5938 ; 0000-0001-8045-3752 ; 0000-0002-7379-8004</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1539404109/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1539404109?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24740014$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal-lirmm.ccsd.cnrs.fr/lirmm-01238417$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Coste, Christine Azevedo</creatorcontrib><creatorcontrib>Sijobert, Benoît</creatorcontrib><creatorcontrib>Pissard-Gibollet, Roger</creatorcontrib><creatorcontrib>Pasquier, Maud</creatorcontrib><creatorcontrib>Espiau, Bernard</creatorcontrib><creatorcontrib>Geny, Christian</creatorcontrib><title>Detection of freezing of gait in Parkinson disease: preliminary results</title><title>Sensors (Basel, Switzerland)</title><addtitle>Sensors (Basel)</addtitle><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.</description><subject>Biotechnology</subject><subject>Computer Science</subject><subject>Detectors</subject><subject>Falls</subject><subject>festination</subject><subject>Fog</subject><subject>Freezing</subject><subject>freezing of gait (FOG)</subject><subject>Freezing Reaction, Cataleptic</subject><subject>Gait</subject><subject>gait parameters</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Inertial</subject><subject>inertial measurement units</subject><subject>Parkinson disease</subject><subject>Parkinson Disease - diagnosis</subject><subject>Parkinson Disease - physiopathology</subject><subject>Parkinson's disease</subject><subject>Patients</subject><subject>Sensors</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Wireless Technology</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFkk1PFTEUhidGI4hu_AFmEjcGcvG0PdMPFyYEEUhuogtdN51Oe-l1ZnppZ0jk11u8iMCGVU_ap09PTt-qekvgkDEFHzNBQOCSqGfVLkGKC0kpPL9X71Svcl4DUMaYfFntUBQIQHC3Ov3iJmenEMc6-ton567DuLqpVyZMdRjr7yb9CmMuQBeyM9l9qjfJ9WEIo0m_6-Ty3E_5dfXCmz67N7frXvXz68mP47PF8tvp-fHRcmG5ENOCdtxbhYJ704A1IGgjpLISbNO16IArwNYbCiiAM0oRmW-95AKY70yDbK8633q7aNZ6k8JQmtDRBP13I6aVNmkKtndaITeybYkhrUGOZVKGKOoJx9aBlF1xfd66NnM7uM66cUqmfyB9eDKGC72KVxqBKs6hCA62gotH186OlroPaRg0EMokEnFFCv3h9rkUL2eXJz2EbF3fm9HFOWsiiFSUIzZPow0RUkLDaUHfP0LXcU5j-YNCMVWSQUAVan9L2RRzTs7ftUtA34RI_w9Rgd_dn8sd-i817A868r7O</recordid><startdate>20140415</startdate><enddate>20140415</enddate><creator>Coste, Christine Azevedo</creator><creator>Sijobert, Benoît</creator><creator>Pissard-Gibollet, Roger</creator><creator>Pasquier, Maud</creator><creator>Espiau, Bernard</creator><creator>Geny, Christian</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7SP</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>L7M</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5204-5938</orcidid><orcidid>https://orcid.org/0000-0001-8045-3752</orcidid><orcidid>https://orcid.org/0000-0002-7379-8004</orcidid></search><sort><creationdate>20140415</creationdate><title>Detection of freezing of gait in Parkinson disease: preliminary results</title><author>Coste, Christine Azevedo ; Sijobert, Benoît ; Pissard-Gibollet, Roger ; Pasquier, Maud ; Espiau, Bernard ; Geny, Christian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c677t-2d6fc9476fa50ca0725789c80c5db4e06904bfa204706322443fbf86703fda543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biotechnology</topic><topic>Computer Science</topic><topic>Detectors</topic><topic>Falls</topic><topic>festination</topic><topic>Fog</topic><topic>Freezing</topic><topic>freezing of gait (FOG)</topic><topic>Freezing Reaction, Cataleptic</topic><topic>Gait</topic><topic>gait parameters</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Inertial</topic><topic>inertial measurement units</topic><topic>Parkinson disease</topic><topic>Parkinson Disease - diagnosis</topic><topic>Parkinson Disease - physiopathology</topic><topic>Parkinson's disease</topic><topic>Patients</topic><topic>Sensors</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Wireless Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coste, Christine Azevedo</creatorcontrib><creatorcontrib>Sijobert, Benoît</creatorcontrib><creatorcontrib>Pissard-Gibollet, Roger</creatorcontrib><creatorcontrib>Pasquier, Maud</creatorcontrib><creatorcontrib>Espiau, Bernard</creatorcontrib><creatorcontrib>Geny, Christian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coste, Christine Azevedo</au><au>Sijobert, Benoît</au><au>Pissard-Gibollet, Roger</au><au>Pasquier, Maud</au><au>Espiau, Bernard</au><au>Geny, Christian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of freezing of gait in Parkinson disease: preliminary results</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><addtitle>Sensors (Basel)</addtitle><date>2014-04-15</date><risdate>2014</risdate><volume>14</volume><issue>4</issue><spage>6819</spage><epage>6827</epage><pages>6819-6827</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>24740014</pmid><doi>10.3390/s140406819</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5204-5938</orcidid><orcidid>https://orcid.org/0000-0001-8045-3752</orcidid><orcidid>https://orcid.org/0000-0002-7379-8004</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1424-8220
ispartof Sensors (Basel, Switzerland), 2014-04, Vol.14 (4), p.6819-6827
issn 1424-8220
1424-8220
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_946a8bb1a1ba464390a192f164be088d
source Publicly Available Content Database; PubMed Central
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
title Detection of freezing of gait in Parkinson disease: preliminary results
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T21%3A20%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Detection%20of%20freezing%20of%20gait%20in%20Parkinson%20disease:%20preliminary%20results&rft.jtitle=Sensors%20(Basel,%20Switzerland)&rft.au=Coste,%20Christine%20Azevedo&rft.date=2014-04-15&rft.volume=14&rft.issue=4&rft.spage=6819&rft.epage=6827&rft.pages=6819-6827&rft.issn=1424-8220&rft.eissn=1424-8220&rft_id=info:doi/10.3390/s140406819&rft_dat=%3Cproquest_doaj_%3E1517880562%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c677t-2d6fc9476fa50ca0725789c80c5db4e06904bfa204706322443fbf86703fda543%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1539404109&rft_id=info:pmid/24740014&rfr_iscdi=true