Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.
Identifieur interne : 000380 ( PubMed/Corpus ); précédent : 000379; suivant : 000381Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.
Auteurs : Soo-Yeon Kim ; Li Yang ; In Jae Park ; Eun Joo Kim ; Min Su Joshuapark ; Sung Hyun You ; Yun-Hee Kim ; Hyun-Yoon Ko ; Yong-Il ShinSource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1558-0210 ] ; 2015.
English descriptors
- KwdEn :
- Aged, Case-Control Studies, Female, Follow-Up Studies, Gait Disorders, Neurologic (etiology), Gait Disorders, Neurologic (rehabilitation), Humans, Locomotion (physiology), Male, Middle Aged, Paresis (etiology), Paresis (rehabilitation), Physical Education and Training (methods), Physical Therapy Modalities, Postural Balance, Prospective Studies, Robotics, Stroke (etiology), Stroke (rehabilitation), Treatment Outcome.
- MESH :
- etiology : Gait Disorders, Neurologic, Paresis, Stroke.
- methods : Physical Education and Training.
- physiology : Locomotion.
- rehabilitation : Gait Disorders, Neurologic, Paresis, Stroke.
- Aged, Case-Control Studies, Female, Follow-Up Studies, Humans, Male, Middle Aged, Physical Therapy Modalities, Postural Balance, Prospective Studies, Robotics, Treatment Outcome.
Abstract
The present clinical investigation was to ascertain whether the effects of WALKBOT-assisted locomotor training (WLT) on balance, gait, and motor recovery were superior or similar to the conventional locomotor training (CLT) in patients with hemiparetic stroke. Thirty individuals with hemiparetic stroke were randomly assigned to either WLT or CLT. WLT emphasized on a progressive, conventional locomotor retraining practice (40 min) combined with the WALKBOT-assisted, haptic guidance and random variable locomotor training (40 min) whereas CLT involved conventional physical therapy alone (80 min). Both intervention dosages were standardized and provided for 80 min, five days/week for four weeks. Clinical outcomes included function ambulation category (FAC), Berg balance scale (BBS), Korean modified Barthel index (K-MBI), modified Ashworth scale (MAS), and EuroQol-5 dimension (EQ-5D) before and after the four-week program as well as at follow-up four weeks after the intervention. Two-way repeated measure ANOVA showed significant interaction effect (time × group) for FAC (p=0.02), BBS (p=0.03) , and K-MBI (p=0.00) across the pre-training, post-training, and follow-up tests, indicating that WLT was more beneficial for balance, gait and daily activity function than CLT alone. However, no significant difference in other variables was observed. This is the first clinical trial that highlights the superior, augmented effects of the WALKBOT-assisted locomotor training on balance, gait and motor recovery when compared to the conventional locomotor training alone in patients with hemiparetic stroke.
DOI: 10.1109/TNSRE.2015.2404936
PubMed: 25850089
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.</title><author><name sortKey="Kim, Soo Yeon" sort="Kim, Soo Yeon" uniqKey="Kim S" first="Soo-Yeon" last="Kim">Soo-Yeon Kim</name></author><author><name sortKey="Yang, Li" sort="Yang, Li" uniqKey="Yang L" first="Li" last="Yang">Li Yang</name></author><author><name sortKey="Park, In Jae" sort="Park, In Jae" uniqKey="Park I" first="In Jae" last="Park">In Jae Park</name></author><author><name sortKey="Kim, Eun Joo" sort="Kim, Eun Joo" uniqKey="Kim E" first="Eun Joo" last="Kim">Eun Joo Kim</name></author><author><name sortKey="Joshuapark, Min Su" sort="Joshuapark, Min Su" uniqKey="Joshuapark M" first="Min Su" last="Joshuapark">Min Su Joshuapark</name></author><author><name sortKey="You, Sung Hyun" sort="You, Sung Hyun" uniqKey="You S" first="Sung Hyun" last="You">Sung Hyun You</name></author><author><name sortKey="Kim, Yun Hee" sort="Kim, Yun Hee" uniqKey="Kim Y" first="Yun-Hee" last="Kim">Yun-Hee Kim</name></author><author><name sortKey="Ko, Hyun Yoon" sort="Ko, Hyun Yoon" uniqKey="Ko H" first="Hyun-Yoon" last="Ko">Hyun-Yoon Ko</name></author><author><name sortKey="Shin, Yong Il" sort="Shin, Yong Il" uniqKey="Shin Y" first="Yong-Il" last="Shin">Yong-Il Shin</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="doi">10.1109/TNSRE.2015.2404936</idno><idno type="RBID">pubmed:25850089</idno><idno type="pmid">25850089</idno><idno type="wicri:Area/PubMed/Corpus">000380</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.</title><author><name sortKey="Kim, Soo Yeon" sort="Kim, Soo Yeon" uniqKey="Kim S" first="Soo-Yeon" last="Kim">Soo-Yeon Kim</name></author><author><name sortKey="Yang, Li" sort="Yang, Li" uniqKey="Yang L" first="Li" last="Yang">Li Yang</name></author><author><name sortKey="Park, In Jae" sort="Park, In Jae" uniqKey="Park I" first="In Jae" last="Park">In Jae Park</name></author><author><name sortKey="Kim, Eun Joo" sort="Kim, Eun Joo" uniqKey="Kim E" first="Eun Joo" last="Kim">Eun Joo Kim</name></author><author><name sortKey="Joshuapark, Min Su" sort="Joshuapark, Min Su" uniqKey="Joshuapark M" first="Min Su" last="Joshuapark">Min Su Joshuapark</name></author><author><name sortKey="You, Sung Hyun" sort="You, Sung Hyun" uniqKey="You S" first="Sung Hyun" last="You">Sung Hyun You</name></author><author><name sortKey="Kim, Yun Hee" sort="Kim, Yun Hee" uniqKey="Kim Y" first="Yun-Hee" last="Kim">Yun-Hee Kim</name></author><author><name sortKey="Ko, Hyun Yoon" sort="Ko, Hyun Yoon" uniqKey="Ko H" first="Hyun-Yoon" last="Ko">Hyun-Yoon Ko</name></author><author><name sortKey="Shin, Yong Il" sort="Shin, Yong Il" uniqKey="Shin Y" first="Yong-Il" last="Shin">Yong-Il Shin</name></author></analytic><series><title level="j">IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</title><idno type="eISSN">1558-0210</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Case-Control Studies</term><term>Female</term><term>Follow-Up Studies</term><term>Gait Disorders, Neurologic (etiology)</term><term>Gait Disorders, Neurologic (rehabilitation)</term><term>Humans</term><term>Locomotion (physiology)</term><term>Male</term><term>Middle Aged</term><term>Paresis (etiology)</term><term>Paresis (rehabilitation)</term><term>Physical Education and Training (methods)</term><term>Physical Therapy Modalities</term><term>Postural Balance</term><term>Prospective Studies</term><term>Robotics</term><term>Stroke (etiology)</term><term>Stroke (rehabilitation)</term><term>Treatment Outcome</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Gait Disorders, Neurologic</term><term>Paresis</term><term>Stroke</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Physical Education and Training</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Locomotion</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Gait Disorders, Neurologic</term><term>Paresis</term><term>Stroke</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Case-Control Studies</term><term>Female</term><term>Follow-Up Studies</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Physical Therapy Modalities</term><term>Postural Balance</term><term>Prospective Studies</term><term>Robotics</term><term>Treatment Outcome</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The present clinical investigation was to ascertain whether the effects of WALKBOT-assisted locomotor training (WLT) on balance, gait, and motor recovery were superior or similar to the conventional locomotor training (CLT) in patients with hemiparetic stroke. Thirty individuals with hemiparetic stroke were randomly assigned to either WLT or CLT. WLT emphasized on a progressive, conventional locomotor retraining practice (40 min) combined with the WALKBOT-assisted, haptic guidance and random variable locomotor training (40 min) whereas CLT involved conventional physical therapy alone (80 min). Both intervention dosages were standardized and provided for 80 min, five days/week for four weeks. Clinical outcomes included function ambulation category (FAC), Berg balance scale (BBS), Korean modified Barthel index (K-MBI), modified Ashworth scale (MAS), and EuroQol-5 dimension (EQ-5D) before and after the four-week program as well as at follow-up four weeks after the intervention. Two-way repeated measure ANOVA showed significant interaction effect (time × group) for FAC (p=0.02), BBS (p=0.03) , and K-MBI (p=0.00) across the pre-training, post-training, and follow-up tests, indicating that WLT was more beneficial for balance, gait and daily activity function than CLT alone. However, no significant difference in other variables was observed. This is the first clinical trial that highlights the superior, augmented effects of the WALKBOT-assisted locomotor training on balance, gait and motor recovery when compared to the conventional locomotor training alone in patients with hemiparetic stroke.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">25850089</PMID><DateCreated><Year>2015</Year><Month>07</Month><Day>08</Day></DateCreated><DateCompleted><Year>2016</Year><Month>04</Month><Day>05</Day></DateCompleted><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1558-0210</ISSN><JournalIssue CitedMedium="Internet"><Volume>23</Volume><Issue>4</Issue><PubDate><Year>2015</Year><Month>Jul</Month></PubDate></JournalIssue><Title>IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</Title><ISOAbbreviation>IEEE Trans Neural Syst Rehabil Eng</ISOAbbreviation></Journal><ArticleTitle>Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.</ArticleTitle><Pagination><MedlinePgn>636-42</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/TNSRE.2015.2404936</ELocationID><Abstract><AbstractText>The present clinical investigation was to ascertain whether the effects of WALKBOT-assisted locomotor training (WLT) on balance, gait, and motor recovery were superior or similar to the conventional locomotor training (CLT) in patients with hemiparetic stroke. Thirty individuals with hemiparetic stroke were randomly assigned to either WLT or CLT. WLT emphasized on a progressive, conventional locomotor retraining practice (40 min) combined with the WALKBOT-assisted, haptic guidance and random variable locomotor training (40 min) whereas CLT involved conventional physical therapy alone (80 min). Both intervention dosages were standardized and provided for 80 min, five days/week for four weeks. Clinical outcomes included function ambulation category (FAC), Berg balance scale (BBS), Korean modified Barthel index (K-MBI), modified Ashworth scale (MAS), and EuroQol-5 dimension (EQ-5D) before and after the four-week program as well as at follow-up four weeks after the intervention. Two-way repeated measure ANOVA showed significant interaction effect (time × group) for FAC (p=0.02), BBS (p=0.03) , and K-MBI (p=0.00) across the pre-training, post-training, and follow-up tests, indicating that WLT was more beneficial for balance, gait and daily activity function than CLT alone. However, no significant difference in other variables was observed. This is the first clinical trial that highlights the superior, augmented effects of the WALKBOT-assisted locomotor training on balance, gait and motor recovery when compared to the conventional locomotor training alone in patients with hemiparetic stroke.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Soo-Yeon</ForeName><Initials>SY</Initials></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Li</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Park</LastName><ForeName>In Jae</ForeName><Initials>IJ</Initials></Author><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Eun Joo</ForeName><Initials>EJ</Initials></Author><Author ValidYN="Y"><LastName>JoshuaPark</LastName><ForeName>Min Su</ForeName><Initials>MS</Initials></Author><Author ValidYN="Y"><LastName>You</LastName><ForeName>Sung Hyun</ForeName><Initials>SH</Initials></Author><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Yun-Hee</ForeName><Initials>YH</Initials></Author><Author ValidYN="Y"><LastName>Ko</LastName><ForeName>Hyun-Yoon</ForeName><Initials>HY</Initials></Author><Author ValidYN="Y"><LastName>Shin</LastName><ForeName>Yong-Il</ForeName><Initials>YI</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016449">Randomized Controlled Trial</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>04</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>IEEE Trans Neural Syst Rehabil Eng</MedlineTA><NlmUniqueID>101097023</NlmUniqueID><ISSNLinking>1534-4320</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="ErratumIn"><RefSource>IEEE Trans Neural Syst Rehabil Eng. 2015 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MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010291">Paresis</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000209">etiology</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010806">Physical Education and Training</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D026741">Physical Therapy Modalities</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004856">Postural Balance</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011446">Prospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D012371">Robotics</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020521">Stroke</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000209">etiology</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016896">Treatment Outcome</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="aheadofprint"><Year>2015</Year><Month>4</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>4</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>4</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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