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Development of an IMU based 2-segment foot model for an applicable medical gait analysis

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Τίτλος: Development of an IMU based 2-segment foot model for an applicable medical gait analysis
Συγγραφείς: Bauer, Leandra, Hamberger, Maximilian Anselm, Böcker, Wolfgang, Polzer, Hans, Baumbach, Sebastian Felix
Πηγή: http://lobid.org/resources/99370673698706441#!, 25(1):606.
Έτος έκδοσης: 2024
Συλλογή: Publisso (ZB MED-Publikationsportal Lebenswissenschaften)
Θεματικοί όροι: Ankle Joint/physiology [MeSH], Female [MeSH], Biomechanical Phenomena/physiology [MeSH], Adult [MeSH], Humans [MeSH], Biomechanical movement, Inertial measurement unit, Male [MeSH], Gait Analysis/methods [MeSH], Research, Gait/physiology [MeSH], Gait analysis, Healthy Volunteers [MeSH], Young Adult [MeSH], Foot/physiology [MeSH], Foot model, Kinematics
Περιγραφή: Abstract Background The two most commonly instrumented gait analysis tools used are Optical Motion Capture systems (OMC) and Inertial Measurement Units (IMU). To date, OMC based gait analysis is considered the gold-standard. Still, it is space-, cost-, and time-intense. On the other hand IMU systems are more cost- and time effective but simulate the whole foot as a single segment. To get a more detailed model of the foot and ankle, a new 2-segment foot model using IMU was developed, comparable to the multi-segment foot models assessed by OMC. Research question Can an IMU based 2-segment foot model be developed to provide a more detailed representation of the foot and ankle kinematics? Methods To establish a 2-segment foot model, in addition to the previous 1-segment foot model an IMU sensor was added to the calcaneus. This allowed the differentiation between the hindfoot and forefoot kinematics. 30 healthy individuals (mean age 27 ± 7 years) were recruited to create a norm data set of a healthy cohort. Moreover, the kinematic data of the 2-segment foot model were compared to those of the traditional 1-segment foot model using statistical parametric mapping. Results The 2-segment foot model proved to be applicable. Furthermore, it allowed for a more detailed representation of the foot and ankle joints, similar to other multi-segment foot model. The healthy cohort’s norm data set showed a homogeneous motion pattern for gait. Conclusion The 2-segment foot model allows for an extension of IMU-based gait analysis. Futures ...
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: https://repository.publisso.de/resource/frl:6519381; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11292865/
DOI: 10.1186/s12891-024-07719-0
Διαθεσιμότητα: https://repository.publisso.de/resource/frl:6519381
https://doi.org/10.1186/s12891-024-07719-0
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11292865/
Rights: https://creativecommons.org/licenses/by/4.0/
Αριθμός Καταχώρησης: edsbas.8D6D54B9
Βάση Δεδομένων: BASE
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  Data: Development of an IMU based 2-segment foot model for an applicable medical gait analysis
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  Data: <searchLink fieldCode="AR" term="%22Bauer%2C+Leandra%22">Bauer, Leandra</searchLink><br /><searchLink fieldCode="AR" term="%22Hamberger%2C+Maximilian+Anselm%22">Hamberger, Maximilian Anselm</searchLink><br /><searchLink fieldCode="AR" term="%22Böcker%2C+Wolfgang%22">Böcker, Wolfgang</searchLink><br /><searchLink fieldCode="AR" term="%22Polzer%2C+Hans%22">Polzer, Hans</searchLink><br /><searchLink fieldCode="AR" term="%22Baumbach%2C+Sebastian+Felix%22">Baumbach, Sebastian Felix</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Ankle+Joint%2Fphysiology+[MeSH]%22">Ankle Joint/physiology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Female+[MeSH]%22">Female [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Biomechanical+Phenomena%2Fphysiology+[MeSH]%22">Biomechanical Phenomena/physiology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Adult+[MeSH]%22">Adult [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Humans+[MeSH]%22">Humans [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Biomechanical+movement%22">Biomechanical movement</searchLink><br /><searchLink fieldCode="DE" term="%22Inertial+measurement+unit%22">Inertial measurement unit</searchLink><br /><searchLink fieldCode="DE" term="%22Male+[MeSH]%22">Male [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Gait+Analysis%2Fmethods+[MeSH]%22">Gait Analysis/methods [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Gait%2Fphysiology+[MeSH]%22">Gait/physiology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Gait+analysis%22">Gait analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Healthy+Volunteers+[MeSH]%22">Healthy Volunteers [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Young+Adult+[MeSH]%22">Young Adult [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Foot%2Fphysiology+[MeSH]%22">Foot/physiology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Foot+model%22">Foot model</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink>
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  Data: <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>The two most commonly instrumented gait analysis tools used are Optical Motion Capture systems (OMC) and Inertial Measurement Units (IMU). To date, OMC based gait analysis is considered the gold-standard. Still, it is space-, cost-, and time-intense. On the other hand IMU systems are more cost- and time effective but simulate the whole foot as a single segment. To get a more detailed model of the foot and ankle, a new 2-segment foot model using IMU was developed, comparable to the multi-segment foot models assessed by OMC.</jats:p> </jats:sec><jats:sec> <jats:title>Research question</jats:title> <jats:p>Can an IMU based 2-segment foot model be developed to provide a more detailed representation of the foot and ankle kinematics?</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>To establish a 2-segment foot model, in addition to the previous 1-segment foot model an IMU sensor was added to the calcaneus. This allowed the differentiation between the hindfoot and forefoot kinematics. 30 healthy individuals (mean age 27 ± 7 years) were recruited to create a norm data set of a healthy cohort. Moreover, the kinematic data of the 2-segment foot model were compared to those of the traditional 1-segment foot model using statistical parametric mapping.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The 2-segment foot model proved to be applicable. Furthermore, it allowed for a more detailed representation of the foot and ankle joints, similar to other multi-segment foot model. The healthy cohort’s norm data set showed a homogeneous motion pattern for gait.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>The 2-segment foot model allows for an extension of IMU-based gait analysis. Futures ...
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