Centre de Documentation Campus Montignies
Horaires :
Lundi : 8h-18h30
Mardi : 8h-18h30
Mercredi 9h-16h30
Jeudi : 8h-18h30
Vendredi : 8h-16h30
Attention, votre centre de documentation sera fermé du 27/04 au 12/05 inclus.
Lundi : 8h-18h30
Mardi : 8h-18h30
Mercredi 9h-16h30
Jeudi : 8h-18h30
Vendredi : 8h-16h30
Attention, votre centre de documentation sera fermé du 27/04 au 12/05 inclus.
Bienvenue sur le catalogue du centre de documentation du campus de Montignies.
Résultat de la recherche
2 résultat(s) recherche sur le mot-clé 'Accelerometer'
Ajouter le résultat dans votre panier Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals / M. Compagnat in Annals of physical and rehabilitation medicine, Vol. 63, n°3 (Mai-Juin 2020)
[article]
Titre : Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals Type de document : texte imprimé Auteurs : M. Compagnat ; S. Mandigout ; C.S. Batcho ; Nicolas Vuillerme ; Jean-Yves Salle ; Romain David ; Jean-Christophe Daviet Année de publication : 2020 Article en page(s) : p. 209-215 Note générale : doi.org/10.1016/j.rehab.2019.07.002 Langues : Anglais (eng) Mots-clés : Energy cost Walking Energy expenditure Calibration Accelerometer Algorithm Résumé : Background
Recent studies reported that wearable sensor devices show low validity for assessing the amount of energy expenditure in individuals after stroke.
Objective
We aimed to evaluate the validity of energy expenditure calculation based on the product of energy cost and walked distance estimated by wearable devices in individuals after hemispheric stroke.
Methods
We recruited individuals with hemispheric stroke sequelae who were able to walk without human assistance. The participants wore a tri-axial accelerometer (Actigraph GT3x) and a pedometer (ONStep 400) on the unaffected hip in addition to a respiratory gas exchange analyzer (METAMAX 3B) during 6 min of walking at their self-selected walking speed and mode. The energy expenditure was calculated from the product of energy cost measured by the METAMAX 3B and the distance estimated by wearable devices. It was compared to the energy expenditure measured by the METAMAX 3B and the energy expenditure values recorded by the devices according to the manufacturer's algorithms. The validity was investigated by Bland-Altman analysis (mean bias [MB], root mean square error [RMSE], limits of agreement [95%LoA]), and Pearson correlation analysis (r).
Results
We included 26 participants (mean [SD] age 64.6 [14.8] years). With the pedometer, the energy expenditure calculated from the product of energy cost and walked distance showed high accuracy and agreement with METAMAX 3B values (MB = −1.6 kcal; RMSE = 4.1 kcal; 95%LoA = −9.9; 6.6 kcal; r = 0.87, P < 0.01) but low accuracy and agreement with Actigraph GT3x values (MB = 15.7 kcal; RMSE = 8.7 kcal; 95%LoA = −1.3; 32.6 kcal; r = 0.44, P = 0.02) because of poorer estimation of walked distance. With the pedometer, this new method of calculation strongly increased the validity parameter values for estimating energy expenditure as compared with the manufacturer's algorithm.
Conclusions
This new method based on the energy cost and distance estimated by wearable devices provided better energy expenditure estimates for the pedometer than did the manufacturer's algorithm. The validity of this method depended on the accuracy of the sensor to measure the distance walked by an individual after stroke.Permalink : ./index.php?lvl=notice_display&id=90797
in Annals of physical and rehabilitation medicine > Vol. 63, n°3 (Mai-Juin 2020) . - p. 209-215[article] Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals [texte imprimé] / M. Compagnat ; S. Mandigout ; C.S. Batcho ; Nicolas Vuillerme ; Jean-Yves Salle ; Romain David ; Jean-Christophe Daviet . - 2020 . - p. 209-215.
doi.org/10.1016/j.rehab.2019.07.002
Langues : Anglais (eng)
in Annals of physical and rehabilitation medicine > Vol. 63, n°3 (Mai-Juin 2020) . - p. 209-215
Mots-clés : Energy cost Walking Energy expenditure Calibration Accelerometer Algorithm Résumé : Background
Recent studies reported that wearable sensor devices show low validity for assessing the amount of energy expenditure in individuals after stroke.
Objective
We aimed to evaluate the validity of energy expenditure calculation based on the product of energy cost and walked distance estimated by wearable devices in individuals after hemispheric stroke.
Methods
We recruited individuals with hemispheric stroke sequelae who were able to walk without human assistance. The participants wore a tri-axial accelerometer (Actigraph GT3x) and a pedometer (ONStep 400) on the unaffected hip in addition to a respiratory gas exchange analyzer (METAMAX 3B) during 6 min of walking at their self-selected walking speed and mode. The energy expenditure was calculated from the product of energy cost measured by the METAMAX 3B and the distance estimated by wearable devices. It was compared to the energy expenditure measured by the METAMAX 3B and the energy expenditure values recorded by the devices according to the manufacturer's algorithms. The validity was investigated by Bland-Altman analysis (mean bias [MB], root mean square error [RMSE], limits of agreement [95%LoA]), and Pearson correlation analysis (r).
Results
We included 26 participants (mean [SD] age 64.6 [14.8] years). With the pedometer, the energy expenditure calculated from the product of energy cost and walked distance showed high accuracy and agreement with METAMAX 3B values (MB = −1.6 kcal; RMSE = 4.1 kcal; 95%LoA = −9.9; 6.6 kcal; r = 0.87, P < 0.01) but low accuracy and agreement with Actigraph GT3x values (MB = 15.7 kcal; RMSE = 8.7 kcal; 95%LoA = −1.3; 32.6 kcal; r = 0.44, P = 0.02) because of poorer estimation of walked distance. With the pedometer, this new method of calculation strongly increased the validity parameter values for estimating energy expenditure as compared with the manufacturer's algorithm.
Conclusions
This new method based on the energy cost and distance estimated by wearable devices provided better energy expenditure estimates for the pedometer than did the manufacturer's algorithm. The validity of this method depended on the accuracy of the sensor to measure the distance walked by an individual after stroke.Permalink : ./index.php?lvl=notice_display&id=90797 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 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