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Inertial measurement unit compared to an optical motion capturing system in post-stroke individuals with foot-drop syndrome / François Feuvrier in Annals of physical and rehabilitation medicine, Vol. 63, n°3 (Mai-Juin 2020)
[article]
Titre : Inertial measurement unit compared to an optical motion capturing system in post-stroke individuals with foot-drop syndrome Type de document : texte imprimé Auteurs : François Feuvrier ; Benoît Sijobert ; Christine Azevedo ; Karolina Griffiths ; Sandrine Alonso ; Arnaud Dupeyron ; Isabelle Laffont ; Jérôme Froger Année de publication : 2020 Article en page(s) : p. 195-201 Note générale : doi.org/10.1016/j.rehab.2019.03.007 Langues : Anglais (eng) Mots-clés : Inertial measurement unit Kinematic parameters Foot-drop Stroke Functional electrostimulation Résumé : Background
Functional electrical stimulation (FES) can be used for compensation of foot-drop for post-stroke individuals by pre-programmed fixed stimulation; however, this stimulation seems no more effective than mechanical ankle foot orthoses.
Objective
We evaluated the metrological quality of inertial sensors for movement reconstruction as compared with the gold-standard motion capturing system, to couple FES with inertial sensors to improve dorsiflexion on the paretic side, by using an adaptive stimulation taking into account individuals’ performance post-stroke.
Methods
Adults with ischemic or hemorrhagic stroke presenting foot-drop and able to walk 10 m, were included from May 2016 to June 2017. Those with passive ankle dorsiflexion < 0° with the knee stretched were excluded. Synchronous gait was analyzed with the VICON© system as the gold standard and inertial measurement units (IMUs) worn by participants. The main outcome was the dorsiflexion angle at the heel strike and mid-swing phase obtained from IMUs and the VICON system. Secondary outcomes were: stride length, walking speed, maximal ankle dorsiflexion velocity and fatigue detection.
Results
We included 26 participants [18 males; mean age 58 (range 45–84) years]. During heel strike, the dorsiflexion angle measurements demonstrated a root mean square error (RMSE) of 5.5°; a mean average error (MAE) of 3.9°; Bland-Altman bias of − 0.1° with limits of agreement − 10.9° to + 10.7° and good intra-class correlation coefficient (ICC) at 0.87 between the 2 techniques. During the mid-swing phase, the RMSE was 5.6; MAE 3.7°; Bland-Altman bias − 0.9° with limits of agreement − 11.7° to + 9.8° and ICC 0.88. Good agreement was demonstrated for secondary outcomes and fatigue detection.
Conclusions
IMU-based reconstruction algorithms were effective in measuring ankle dorsiflexion with small biases and good ICCs in adults with ischemic or hemorrhagic stroke presenting foot-drop. The precision obtained is sufficient to observe the fatigue influence on the dorsiflexion and therefore to use IMUs to adapt FES.Permalink : ./index.php?lvl=notice_display&id=90795
in Annals of physical and rehabilitation medicine > Vol. 63, n°3 (Mai-Juin 2020) . - p. 195-201[article] Inertial measurement unit compared to an optical motion capturing system in post-stroke individuals with foot-drop syndrome [texte imprimé] / François Feuvrier ; Benoît Sijobert ; Christine Azevedo ; Karolina Griffiths ; Sandrine Alonso ; Arnaud Dupeyron ; Isabelle Laffont ; Jérôme Froger . - 2020 . - p. 195-201.
doi.org/10.1016/j.rehab.2019.03.007
Langues : Anglais (eng)
in Annals of physical and rehabilitation medicine > Vol. 63, n°3 (Mai-Juin 2020) . - p. 195-201
Mots-clés : Inertial measurement unit Kinematic parameters Foot-drop Stroke Functional electrostimulation Résumé : Background
Functional electrical stimulation (FES) can be used for compensation of foot-drop for post-stroke individuals by pre-programmed fixed stimulation; however, this stimulation seems no more effective than mechanical ankle foot orthoses.
Objective
We evaluated the metrological quality of inertial sensors for movement reconstruction as compared with the gold-standard motion capturing system, to couple FES with inertial sensors to improve dorsiflexion on the paretic side, by using an adaptive stimulation taking into account individuals’ performance post-stroke.
Methods
Adults with ischemic or hemorrhagic stroke presenting foot-drop and able to walk 10 m, were included from May 2016 to June 2017. Those with passive ankle dorsiflexion < 0° with the knee stretched were excluded. Synchronous gait was analyzed with the VICON© system as the gold standard and inertial measurement units (IMUs) worn by participants. The main outcome was the dorsiflexion angle at the heel strike and mid-swing phase obtained from IMUs and the VICON system. Secondary outcomes were: stride length, walking speed, maximal ankle dorsiflexion velocity and fatigue detection.
Results
We included 26 participants [18 males; mean age 58 (range 45–84) years]. During heel strike, the dorsiflexion angle measurements demonstrated a root mean square error (RMSE) of 5.5°; a mean average error (MAE) of 3.9°; Bland-Altman bias of − 0.1° with limits of agreement − 10.9° to + 10.7° and good intra-class correlation coefficient (ICC) at 0.87 between the 2 techniques. During the mid-swing phase, the RMSE was 5.6; MAE 3.7°; Bland-Altman bias − 0.9° with limits of agreement − 11.7° to + 9.8° and ICC 0.88. Good agreement was demonstrated for secondary outcomes and fatigue detection.
Conclusions
IMU-based reconstruction algorithms were effective in measuring ankle dorsiflexion with small biases and good ICCs in adults with ischemic or hemorrhagic stroke presenting foot-drop. The precision obtained is sufficient to observe the fatigue influence on the dorsiflexion and therefore to use IMUs to adapt FES.Permalink : ./index.php?lvl=notice_display&id=90795 Exemplaires (1)
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Exclu du prêtWearable inertial sensors provide reliable biomarkers of disease severity in multiple sclerosis: A systematic review and meta-analysis / Aliénor Vienne-Jumeau in Annals of physical and rehabilitation medicine, Vol. 63, n°2 (Mars 2020)
[article]
Titre : Wearable inertial sensors provide reliable biomarkers of disease severity in multiple sclerosis: A systematic review and meta-analysis Type de document : texte imprimé Auteurs : Aliénor Vienne-Jumeau ; Flavien Quijoux ; Pierre-Paul Vidal ; Damien Ricard Année de publication : 2020 Article en page(s) : p. 138-147 Note générale : doi.org/10.1016/j.rehab.2019.07.004 Langues : Anglais (eng) Mots-clés : Multiple sclerosis Gait analysis Gait quantification Gait disorders Wearable inertial sensors Inertial measurement unit Accelerometer Résumé : Background
Gait impairment is a hallmark of multiple sclerosis (MS). InertiaLocoGraphy, the quantification of gait with inertial measurement units (IMUs), has been found useful to detect early changes in gait in MS. Still, the potential use of IMUs as a reliable biomarker of disease severity in MS remains unknown.
Objective
This systematic review and meta-analysis of observational studies aimed to describe IMU protocols used to assess gait in MS patients and calculate the effect sizes of IMU features associated with disease severity scale measures.
Methods
We searched MEDLINE, Cochrane Central, EMBASE and grey literature to identify articles published before May 2, 2018 that measured gait in MS patients by using IMUs and correlated IMU parameters with disease severity scale measures. We excluded from the meta-analysis articles that did not provide enough data to evaluate the association between IMU parameters and disease severity scale measures. The study was registered with the International Prospective Register of Systematic Reviews on May 2, 2018 (Registration: CRD42018092651) and the protocol was published in Systematic Reviews on January 8, 2019.
Results
We included 36 articles in the systematic review and pooled 12 for the meta-analysis. The risk of bias was moderate, with only 2 articles (none included in the meta-analysis) showing a bias score < 50%. Among protocols tested, 2 were predominant (the Timed Up and Go test and 6-min walk test). Speed, step length and step time with IMUs were significantly correlated with the Expanded Disability Status Scale (EDSS) score, and speed and step length were significantly correlated with the Multiple Sclerosis Walking Scale-12 score.
Conclusion
IMU measurement has the potential to increase the sensitivity of clinical and performance tests to identify evolution in gait alteration in MS. Kinematic parameters easily accessible with IMUs, such as speed, step length and step duration, can help follow up disease severity in MS individuals with low to medium EDSS score (1.0–4.5).Permalink : ./index.php?lvl=notice_display&id=90786
in Annals of physical and rehabilitation medicine > Vol. 63, n°2 (Mars 2020) . - p. 138-147[article] Wearable inertial sensors provide reliable biomarkers of disease severity in multiple sclerosis: A systematic review and meta-analysis [texte imprimé] / Aliénor Vienne-Jumeau ; Flavien Quijoux ; Pierre-Paul Vidal ; Damien Ricard . - 2020 . - p. 138-147.
doi.org/10.1016/j.rehab.2019.07.004
Langues : Anglais (eng)
in Annals of physical and rehabilitation medicine > Vol. 63, n°2 (Mars 2020) . - p. 138-147
Mots-clés : Multiple sclerosis Gait analysis Gait quantification Gait disorders Wearable inertial sensors Inertial measurement unit Accelerometer Résumé : Background
Gait impairment is a hallmark of multiple sclerosis (MS). InertiaLocoGraphy, the quantification of gait with inertial measurement units (IMUs), has been found useful to detect early changes in gait in MS. Still, the potential use of IMUs as a reliable biomarker of disease severity in MS remains unknown.
Objective
This systematic review and meta-analysis of observational studies aimed to describe IMU protocols used to assess gait in MS patients and calculate the effect sizes of IMU features associated with disease severity scale measures.
Methods
We searched MEDLINE, Cochrane Central, EMBASE and grey literature to identify articles published before May 2, 2018 that measured gait in MS patients by using IMUs and correlated IMU parameters with disease severity scale measures. We excluded from the meta-analysis articles that did not provide enough data to evaluate the association between IMU parameters and disease severity scale measures. The study was registered with the International Prospective Register of Systematic Reviews on May 2, 2018 (Registration: CRD42018092651) and the protocol was published in Systematic Reviews on January 8, 2019.
Results
We included 36 articles in the systematic review and pooled 12 for the meta-analysis. The risk of bias was moderate, with only 2 articles (none included in the meta-analysis) showing a bias score < 50%. Among protocols tested, 2 were predominant (the Timed Up and Go test and 6-min walk test). Speed, step length and step time with IMUs were significantly correlated with the Expanded Disability Status Scale (EDSS) score, and speed and step length were significantly correlated with the Multiple Sclerosis Walking Scale-12 score.
Conclusion
IMU measurement has the potential to increase the sensitivity of clinical and performance tests to identify evolution in gait alteration in MS. Kinematic parameters easily accessible with IMUs, such as speed, step length and step duration, can help follow up disease severity in MS individuals with low to medium EDSS score (1.0–4.5).Permalink : ./index.php?lvl=notice_display&id=90786 Exemplaires (1)
Cote Support Localisation Section Disponibilité Revue Revue Centre de Documentation HELHa Campus Montignies Armoires à volets Document exclu du prêt - à consulter sur place
Exclu du prêt