Comparison of Activity Monitors Accuracy in Assessing Intermittent Outdoor Walking

Autor: Sandrine Bickert, Pierre-Yves de Müllenheim, Guillaume Mahé, Aline Taoum, Guy Carrault, Bénédicte Noury-Desvaux, Ségolène Chaudru, Alexis Le Faucheur, Florian Congnard, Mathieu Emily
Přispěvatelé: Laboratoire Mouvement Sport Santé (M2S), École normale supérieure - Cachan (ENS Cachan)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Formation Education Physique et Sportive Angers (IFEPSA), Université Catholique de l'Ouest (UCO), Activité Physique, Corps, Sport et Santé (APCOSS), Institut de Recherche Mathématique de Rennes (IRMAR), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], The 'Acti-GPS' project was promoted by the University Hospital of Angers and was partially funded by the Genesia Foundation. The 'CLASH' project was promoted and partially funded by the University Hospital of Rennes (CORECT 2013). Both the 'Acti-GPS' and 'CLASH' projects were also partially funded by ENS Rennes. A. Taoum received a postdoctoral scholarship from the ENS Rennes and the Bretagne region (SAD funding). S. Chaudru received a PhD scholarship from the Bretagne region (ARED funding). P.-Y. de Müllenheim received a PhD scholarship from the ENS Cachan-Antenne de Bretagne (CDSN)., Jonchère, Laurent, Université de Rennes (UR)-École normale supérieure - Rennes (ENS Rennes)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Rok vydání: 2021
Předmět:
medicine.medical_specialty
Mean squared error
[SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]
Population
Physical Therapy
Sports Therapy and Rehabilitation
Fitness Trackers
Walking
Root mean square
03 medical and health sciences
Peripheral Arterial Disease
Young Adult
0302 clinical medicine
Physical medicine and rehabilitation
Accelerometry
[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]
medicine
Humans
Orthopedics and Sports Medicine
030212 general & internal medicine
education
Mathematics
Aged
[SDV.IB] Life Sciences [q-bio]/Bioengineering
education.field_of_study
Healthy subjects
030229 sport sciences
Middle Aged
Confidence interval
3. Good health
Walking Speed
Preferred walking speed
medicine.anatomical_structure
Automated algorithm
Geographic Information Systems
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Ankle
human activities
Algorithms
Zdroj: Medicine and Science in Sports and Exercise
Medicine and Science in Sports and Exercise, American College of Sports Medicine (ACSM), 2021, 53 (6), pp.1303-1314. ⟨10.1249/MSS.0000000000002587⟩
Medicine and Science in Sports and Exercise, 2021, 53 (6), pp.1303-1314. ⟨10.1249/MSS.0000000000002587⟩
ISSN: 1530-0315
0195-9131
DOI: 10.1249/MSS.0000000000002587⟩
Popis: International audience; Purpose - This study aimed to determine and compare the accuracy of different activity monitors in assessing intermittent outdoor walking in both healthy and clinical populations through the development and validation of processing methodologies. Methods - In study 1, an automated algorithm was implemented and tested for the detection of short (≤1 min) walking and stopping bouts during prescribed walking protocols performed by healthy subjects in environments with low and high levels of obstruction. The following parameters obtained from activity monitors were tested, with different recording epochs0.1s/0.033s/1s/3s/10s and wearing locationsscapula/hip/wrist/ankle: GlobalSat DG100 (GS) and Qstarz BT-Q1000XT/-Q1000eX (QS) speed; ActiGraph wGT3X+ (AG) vector magnitude (VM) raw data, VM counts, and steps; and StepWatch3 (SW) steps. Furthermore, linear mixed models were developed to estimate walking speeds and distances from the monitors parameters. Study 2 validated the performance of the activity monitors and processing methodologies in a clinical population showing profile of intermittent walking due to functional limitations during outdoor walking sessions. Results - In study 1, GS1s, scapula, QS1s, scapula/wrist speed, and AG0.033s, hip VM raw data provided the highest bout detection rates (>96.7%) and the lowest root mean square errors in speed (≤0.4 km·h-1) and distance (
Databáze: OpenAIRE
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