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Gaitrite

Manufactured by CIR Systems
Sourced in United States

The GAITRite is a portable electronic walkway used to measure spatial and temporal gait parameters. It captures an individual's footsteps as they walk across the mat, providing objective data on various gait characteristics.

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77 protocols using gaitrite

1

Gait Variability Assessment at Preferred Speed

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Spatiotemporal gait parameters and variability measures were collected at preferred
walking speed using a 5.74 m computerized carpet (GAITRite®, CIR Systems Inc.,
Havertown, PA, USA) placed on a well-illuminated hallway and free of noise and visual
distractions. Participants wore their own closed, low-heel footwear and performed six
walks (on average 4 to 5 steps long) beginning and stopping 2m before and after the
carpet to allow for the acceleration and deceleration phases. Data was combined into
a single test, sampled at 120 Hz, and processed using the system software including:
velocity (cm/s), cadence (steps/min), step length (cm), base of support (cm), step
time (s), swing time (s), stance time (s), and double support time (s) as defined by
the GAITRite® manual. Coefficient of variation (CV = [standard
deviation/mean] × 100) was used as a measure of gait variability for the following
parameters: velocity (%CV), step length (%CV), base of support (%CV), step time
(%CV), swing time (%CV), stance time (%CV), and double support time (%CV).
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2

MCR Syndrome Diagnostic Criteria and Measurement

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MCR syndrome was diagnosed based on established criteria[1 (link), 2 (link), 5 (link)] as the presence of subjective cognitive complaints and slow gait in older individuals without dementia or mobility disability. MCR builds on definitions of MCI; substituting impairment on cognitive tests criterion in MCI with the criterion of slow gait. Cognitive complaints were based on responses by participants to standardized questions about memory as a part of the Health Self-Assessment Questionnaire and from the Geriatric Depression Scale[5 (link)]. Gait speed was measured using an 8.5 meter long computerized walkway with embedded pressure sensors (GAITRite; CIR Systems, PA). The GAITRite system is widely used in clinical and research settings, and excellent reliability has been reported in our and other centers[13 (link), 14 (link)]. Participants walked on the walkway at their normal pace in a quiet well-lit room wearing comfortable footwear and without any attached monitors. Slow gait was defined as walking speed one standard deviation (SD) or more below age and sex specific means as described in previous MCR studies in the LonGenity cohort[2 (link), 5 (link)]. Dementia was diagnosed at consensus case conference after review of all available clinical, neuropsychological and medical information[15 (link)].
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3

Gait Analysis of Lower Limb Amputees

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A 4.9m×0.9m electronic walkway (GaitRITE, CIR Systems, Sparta, New Jersey) was used to assess participants’ walking performance and gait stability. The pressure-sensitive electronic walkway provided measurement of walking speed, step length, and step time (spatial resolution of 1.27cm; walking speed error within ±3%). It has demonstrated good-to-excellent test-retest reliability in longitudinal applications[14 (link),15 (link)]. Electronic walkways have been used extensively to measure spatiotemporal gait parameters in studies that included people with lower limb amputation[16 –21 (link)].
The walkway was placed midway along an 18.3m level hallway and was set to sample at 80Hz. Participants began walking 1.5m in front of the walkway to achieve a constant speed. Participants made five passes over the walkway, with four complete steps of each leg typically recorded during each pass. Data collected included mean walking speed; cadence; step length, width and time; and affected leg/non-affected leg symmetry. Symmetry was calculated by subtracting values measured for the prosthetic leg from the non-prosthetic leg and then dividing by the sum for both legs. These variables were selected because they were previously determined to be indicative of stability, falling, and fear of falling in elderly adults[22 ,23 (link)].
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4

Quantitative Gait Analysis Using Computerized Walkway

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Research assistants conducted quantitative gait studies, independent of clinicians’ evaluations of gait, using a computerized walkway (180×35.5×0.25 inches) with embedded pressure sensors (GAITRite, CIR systems) [8 (link)]. Subjects were asked to walk on the mat at their ‘normal pace’ for two trials in a quiet well-lit hallway wearing comfortable footwear and without any attached monitoring devices. Start and stop points were marked by white lines on the floor, and included three feet from the walkway edge for initial acceleration and terminal deceleration. From footfalls recorded on the walkway, the software automatically computes gait parameters as the mean of two trials. The GAITRite system is widely used in clinical and research settings, and has excellent reliability [8 (link)].
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5

Spatiotemporal Gait Analysis in iSCI

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We recorded spatiotemporal gait parameters during self-selected walking speed using commercially available GAITRite® and CIRFace® Systems (CIR Systems, Inc.; USA) (Table 2). These gait assessment systems have high test-retest reliability, concurrent validity within and between systems, and have previously been used to assess overground walking in persons with iSCI [18 , 19 (link)]. Participants completed approximately 30 steps (~3–10 consecutive walking trials) across the instrumented walkway. Rest breaks were provided between trials as needed to minimize fatigue effects. Participants started and stopped walking 2.0 m beyond the data collection area to reduce confounding effects of acceleration/deceleration on walking variability [20 (link)]. Participants with iSCI walked with the same upper-limb AD they use during community ambulation (Table 1). During each trial, digitized kinematic data corresponding to number of steps, swing time, stride time, step time for left and right legs, stride length, step length, and step width between left and right legs were recorded. Gait assessment data were stored on a desktop computer for further processing and analyses.
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6

Gait Assessment in Parkinson's Disease

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Participants walked for 2 minutes at a comfortable pace around a 25-m circuit inclusive of a 7 × 0.6m instrumented walkway (Platinum model GaitRite, CIR systems Inc, USA; Supplementary Figure 1). Gait assessment was completed under single task (ST) for which participants were asked to “concentrate on their walking” and dual task (DT) where participants were asked to “concentrate equally on their walking and a concurrent task”. The Wechsler Forward Digit Span was adopted as the concurrent task; a validated working memory task tailored to individual performance. Maximum digit span was first assessed in sitting, determined by longest span recalled in two of three attempts. Participants then recalled continuous strings of their maximum digit span while walking (13 (link)).
Gait outcomes were derived from a model of gait developed in older adults (14 (link)) and validated in PD (15 (link)). The model describes 16 discrete gait characteristics representing domains of pace, rhythm, variability, asymmetry, and postural control (Supplementary Figure 1).
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7

Gait Analysis with Dual Cognitive Tasks

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Spatiotemporal parameters were obtained by a research physical therapist (AE) from the GAITRite® (CIR Systems, Franklin NY) electronic walkway in the ON and OFF states with and without a dual cognitive task. The dual tasks alternated between serial 7’s and every other letter of the alphabet. Performance on the dual task was monitored to ensure adequate effort as reported in prior studies [25 (link)]. Spatiotemporal data was collected and averaged from four passes over the GAITRite® walkway (two trials). Specifically, they were asked to stand up, walk over the GAITRite® walkway, step off the GAITRite® onto the M2 walkway, turn around a cone set at the center of the M2 (54 inches to the center of the cone from the leading edge of the M2/GAITRite® interface), and walk back to the chair. The M2 walkway is a square digital walkway placed at the end of the GAITRite® walkway designed to capture the turn. The instructions for the walking task were identical to what is commonplace during the TUG [26 (link)]. The turn was 180° and the diameter of the turn was only limited to the 48″ width or lateral boundaries of the M2 walkway. The turn was performed by each subject in their preferred direction. Participants were not required to pre-select their direction of turn and were not mandated to turn in either or both directions.
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8

Comprehensive Gait Analysis in Health and Disease

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Gait performance was investigated using a pressure-sensitive sensor carpet (6.7 m, GAITRite®, CIR Systems) and a concomitant 2D video recording. Patients and healthy subjects underwent a standardized gait protocol with eight different gait conditions: walking in preferred speed (PS), slow speed (SS), and maximum walking speed (MS); walking during head reclination (HR) and eyes closed (EC); walking during cognitive calculatory dual task (serial 7 subtractions; DTC), semantic dual task (verbal fluency; DTS), and motoric dual task (carrying a tray; DTM). For each condition, spatiotemporal gait parameters were calculated and analyzed. Parameters are summarized in five independent gait domains, which are based on a previous study21 (link): (1) Pace: velocity (m/s), stride length (m), stride time (s). (2) Cycle: swing phase (%), double support phase (%). (3) Variability: stride length coefficient of variation (CV) (%), stride time CV (%), swing phase CV (%). (4) Asymmetry: stride length asymmetry (%), stride time asymmetry (%), swing phase asymmetry (%). (5) Support: stride width (m), stride width CV (%). Occurrences of “stops walking while talking” and freezing of gait phenomena were identified by two independent investigators (KM and RS) based on video recordings.
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9

Kinematic Analysis of Prompted Gait

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As detailed previously, testing occurred on a 5.8-m-long pressurized walkway (GAITRite, CIR Systems Inc., Clifton, NJ) centered within a 12.1-m laboratory space, and participants began and ended each walking trial at least one stride before and after the walkway7 (link). The same research assistant provided 24 different prompts used to elicit a range of walking speeds, participants walked 3 times per prompt, and the order of prompts were randomized across participants (for the list of prompts used, see Brinkerhoff et al.7 (link)). The prompt was repeated prior to each walking trial. Therefore, we collected and analyzed kinematic data during 72 walking trials per participant.
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10

Gait Analysis of Surgical Patients

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Participants walked over a 14 ft–long portable walking system (GAITRite; CIR Systems) for 3 trials at their self-selected walking speed. They were not permitted to use any assistive devices or braces during trials. Step lengths for each limb were averaged by the system for each trial. The step lengths were then averaged across the 3 trials, and step length symmetry was calculated by dividing the step length of the surgical limb by that of the nonsurgical limb.
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