Eran Gazit1, Aron S Buchman2, Robert Dawe3, Thomas A Curran4, Anat Mirelman5, Nir Giladi5, Jeffrey M Hausdorff6. 1. Center for the study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Israel. Electronic address: erang@tlvmc.gov.il. 2. Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, United States; Department of Neurological Sciences, Rush University Medical Center, Chicago, United States. 3. Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, United States; Department of Radiology, Rush University Medical Center, Chicago, United States. 4. Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, United States. 5. Center for the study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Israel; Sagol School of Neuroscience, Tel Aviv University, Israel; Department of Neurology and Neurosurgery, Sackler School of Medicine, Tel Aviv University, Israel. 6. Center for the study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Israel; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, United States; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, United States; Sagol School of Neuroscience, Tel Aviv University, Israel; Department of Physical Therapy, Sackler Faculty of Medicine, Israel.
Abstract
BACKGROUND: Walking is a volitional behavior that requires planning and initiation before a step is observed. Following a signal to begin walking, studies of gait initiation in specialized labs have identified three phases that occur during the transition from a standing position via anticipatory postural adjustment (APA) to the first step. Routine instrumented gait testing outside of the laboratory setting focuses on gait execution and does not include gait initiation measures. RESEARCH QUESTION: Can a single IMU sensor be used for performing gait initiation evaluations outside the lab? METHODS: We recorded walking in young (N = 41) and older (N = 26) adults using an instrumented gait mat while they were wearing a 3D accelerometer on their lower back. Subjects were instructed to begin walking following an auditory signal. An algorithm was developed to extract the following measures from the acceleration signal: gait initiation time, measured from the start of the auditory cue to begin walking and ends at the heel-strike of the swing leg, time-to-APA (reaction time), APA duration and swing time (execution of the first step). RESULTS: Intraclass correlation coefficient analysis showed good to excellent agreement between gait initiation metrics obtained with the gait mat and the wearable sensor (mean 0.88, range [0.75-0.96]). Except for swing time, all measures were longer in the older subjects, compared to the young adults (p < 0.01). SIGNIFICANCE: Extracting gait initiation measures from routine instrumented gait testing may facilitate studies that can better determine the extent to which impaired gait planning and execution contribute to mobility impairments.
BACKGROUND: Walking is a volitional behavior that requires planning and initiation before a step is observed. Following a signal to begin walking, studies of gait initiation in specialized labs have identified three phases that occur during the transition from a standing position via anticipatory postural adjustment (APA) to the first step. Routine instrumented gait testing outside of the laboratory setting focuses on gait execution and does not include gait initiation measures. RESEARCH QUESTION: Can a single IMU sensor be used for performing gait initiation evaluations outside the lab? METHODS: We recorded walking in young (N = 41) and older (N = 26) adults using an instrumented gait mat while they were wearing a 3D accelerometer on their lower back. Subjects were instructed to begin walking following an auditory signal. An algorithm was developed to extract the following measures from the acceleration signal: gait initiation time, measured from the start of the auditory cue to begin walking and ends at the heel-strike of the swing leg, time-to-APA (reaction time), APA duration and swing time (execution of the first step). RESULTS: Intraclass correlation coefficient analysis showed good to excellent agreement between gait initiation metrics obtained with the gait mat and the wearable sensor (mean 0.88, range [0.75-0.96]). Except for swing time, all measures were longer in the older subjects, compared to the young adults (p < 0.01). SIGNIFICANCE: Extracting gait initiation measures from routine instrumented gait testing may facilitate studies that can better determine the extent to which impaired gait planning and execution contribute to mobility impairments.
Authors: G Abellan van Kan; Y Rolland; S Andrieu; J Bauer; O Beauchet; M Bonnefoy; M Cesari; L M Donini; S Gillette Guyonnet; M Inzitari; F Nourhashemi; G Onder; P Ritz; A Salva; M Visser; B Vellas Journal: J Nutr Health Aging Date: 2009-12 Impact factor: 4.075
Authors: Silvia Fantozzi; Davide Borra; Matteo Cortesi; Alberto Ferrari; Simone Ciacci; Lorenzo Chiari; Ilaria Baroncini Journal: Int J Environ Res Public Health Date: 2022-09-14 Impact factor: 4.614