Participants completed 2 laboratory visits separated by 1 week. They completed the same assessments of locomotor control within each visit, during which data were simultaneously collected via the app and a 14-foot instrumented GAITRite mat (CIR Systems, Inc, Franklin, NJ, USA). Participants additionally used the app to complete walking assessments within their homes on 3 separate days, in between their 2 laboratory visits. No instructions were provided regarding time of day for home assessment completion.
Gaitrite mat
Manufactured by CIR Systems
Sourced in United States
The GAITRite® mat is a portable electronic walkway system used to measure various parameters related to human gait and balance. It consists of a pressure-sensitive mat that records footsteps as individuals walk across it, providing objective data on gait characteristics such as step length, step width, and walking speed.
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Lab products found in correlation
8 protocols using gaitrite mat
1
Assessing Locomotor Control Remotely
2
Gait Performance in Parkinson's Disease
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For PD patients, disease severity was evaluated using the Movement Disorders Society (MDS) Unified Prkinson’s Disease Rating Scale (UPDRS) section III (Motor Examination) and levodopa (L-DOPA) equivalent dose was calculated for each patient. In all participants, global cognitive function was evaluated with the Montreal Cognitive Assessment (MoCA).
Participants were asked to walk in a well-lit corridor under two conditions, each lasting 1 min: (i) walking at a comfortable speed, (ii) walking during a verbal fluency task. The GaitRite mat, a sensorized 7-meter carpet (CIR Systems, Inc. Haverton, MA, USA), captured individual footfall data using embedded pressure sensors. The ProtoKinetics Movement Analysis Software was used to analyze the data. Gait speed was determined.
Participants were asked to walk in a well-lit corridor under two conditions, each lasting 1 min: (i) walking at a comfortable speed, (ii) walking during a verbal fluency task. The GaitRite mat, a sensorized 7-meter carpet (CIR Systems, Inc. Haverton, MA, USA), captured individual footfall data using embedded pressure sensors. The ProtoKinetics Movement Analysis Software was used to analyze the data. Gait speed was determined.
3
Gait Assessment Using GAITRite® Mat
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Gait assessment was carried out using a GAITRite® mat (CIR systems Inc. Sparta, US). Data were collected from a 4.88 m active area in the middle of an 8.0 m walkway. Participants walked back and forth at self-selected preferred speed, with each walk starting from a standing position approximately 1.5 m outside the active area. Walking aids were permitted only when the participant was unable to walk without one. Where two walks were available, the values from each walk were averaged.
4
Gait Analysis with GAITRite Mat
5
Gait Assessment Using Electronic Gait Mat
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Gait characteristics were assessed by use of an electronic gait mat, GAITRite® mat (CIR systems Inc. Sparta, US), with a 4.88 m active area in the middle of an 8.0 m walkway. Participants walked the gait mat back and forth at an instructed preferred gait speed with their usual walking aids, if needed. If two walking trials were available, the mean value from the trials was calculated. Data were processed using the PKmas® software, where the mean and within-subject standard deviation (SD) of the steps within a walk, and the left/right ratio of spatial and temporal gait variables were calculated by the software. Gait speed is a robust measure of health and function [25 (link)]. In addition to gait speed (m/s), we used the following gait variables: step time (s), walk ratio (step length/cadence, where cadence is steps/minute), and the variability measure SD stride velocity (cm/sec), selected as potential metrics relevant for postural control during gait [26 (link)].
6
Evaluating Lower Limb Motor Impairment
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Lower limb motor impairment was evaluated through the leg subscale of the Motricity Index (MI), which evaluates the strength of the affected leg and ranges from 0 (maximal impairment) to 100 (no impairment). Patients were also involved in a walking test: they were asked to walk three times over the GaitRite mat (CIR Systems Inc.), an electronic walkway incorporating pressure-sensitive pads, at self-selected speed using their usual walking aid (if any) or receiving the required assistance. Spatio-temporal gait parameters (gait speed, stance time, and double support time) were measured through the GaitRite software. A gait symmetry index (ST ratio) was computed as the ratio between the percentage stance time of the affected and unaffected leg.14 (link)
7
Gait Characteristics Before and After Training
8
Gait Measurement Using GAITRite System
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Participants were asked to walk at their usual, comfortable walking speed across the electronic GAITRite walkway (GAITRite® mat, CIR Systems Inc., Clifton NJ, USA). The GAITRite mat is a carpet 5.8 m long with an active sensor area of 427 cm long and 61 cm wide containing a total of 16,128 pressure sensors. The walkaway is connected to a laptop computer with a USB cable. The sampling frequency of the system is Fig. 1. Unloader One® knee brace (A) and biomechanical footwear device (B) used in this study. 80 Hz. The walking speed was not standardized to avoid atypical walking patterns, which could influence muscle activation. Prior to the data collection, the participants practiced once by walking along the walkway. The temporo-spatial walking variables of gait velocity, step length and stance were measured with the software of GAITRite system. The gait velocity was obtained by dividing the distance traveled by the ambulation time (m/sec). The step length was from the heel center of the current footprint to the heel center of the previous footprint on the opposite foot (m). The stance phase is the weight bearing portion of each gait cycle and it is initiated by heel contact and ends with toe off of the same foot. Stance phase is presented as a percentage of the gait cycle time (% GC).
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