Quantifying gait impairment in multiple sclerosis using GAITRite™ technology

Sosnoff, Jacob J.; Weikert, Madeline; Dlugonski, Deirdre; Smith, Douglas C.; Motl, Robert W.

doi:10.1016/j.gaitpost.2011.03.020

Cited by 70 publications

(66 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The findings of this study extend research examining accelerometry as an objective marker of walking impairment. For instance, data indicate that a waist-worn accelerometer is sensitive to intra-and interindividual variation in walking speed [7] and that accelerometer data collected over a 7 d period are related to gait kinematics [8]. Taking this into consideration, the results from the present study further suggest that accelerometry is an objective marker of community walking in MS because counts/hour along the vertical axis were associated with community-based ambulation captured by the IDEEA system.…”

Section: Discussionmentioning

confidence: 52%

“…Existing data indicate that movement or activity counts from an accelerometer worn around the waist capture inter-and intraindividual variation in overground walking within a clinical setting [7], accelerometer movement or activity counts over a 7 d period are associated with spatiotemporal parameters of gait [8], and walking is a primary self-selected physical activity among persons with MS [9]. One of the most important untested assumptions is that community walking itself is a major contributor to the accelerometer signal in persons with MS.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Does a waist-worn ActiGraph accelerometer quantify community ambulation in persons with multiple sclerosis?

Sosnoff¹,

Socie²,

Boes³

et al. 2012

JRRD

Self Cite

View full text Add to dashboard Cite

Abstract-Accelerometry has been recognized as a method of objectively measuring community ambulation in persons with multiple sclerosis (MS). However, the assumption that walking itself serves as a major contributor to the accelerometer signal has yet to be tested. This study examined the assumption that community-based walking is a primary contributor to accelerometer output in MS. Ambulatory persons (5 males/17 females; 13 without aid/9 with aid) with MS wore a triaxial accelerometer (ActiGraph GT3X, Health One Technologies; Fort Walton Beach, Florida) as well as an IDEEA system (MiniSun, Inc; Fresno, Florida) over the course of a single day. Outcome measures for the accelerometer included movement counts/hour for the vertical, anterior-posterior, and mediolateral axes. Outcomes for the IDEEA system included percent time walking, sitting, and standing, as well as walking speed. Pearson product correlations (r) were used to examine the associations between outcomes from the accelerometer and IDEEA system. Significant correlations were observed between percent walking time and movement counts/hour along the vertical (r = 0.84) and anterior-posterior (r = 0.69) axes. Significant correlations were further noted between movement counts/hour along the vertical axis and walking speed (r = 0.45) and self-report walking impairment (r = 0.50) and disability (r = 0.46). Such observations further support accelerometry as an objective marker of community ambulation in persons with MS.

show abstract

Section: Discussionmentioning

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Does a waist-worn ActiGraph accelerometer quantify community ambulation in persons with multiple sclerosis?

Sosnoff¹,

Socie²,

Boes³

et al. 2012

JRRD

Self Cite

View full text Add to dashboard Cite

show abstract

“…Negative correlations were also found between the FAPS and walking performance tests with a lower FAPS for longer times to achieve the test. Timed Up and Go test and FAPS were correlated with a Pearson coefficient of -0.80 (p < 0.001) in an elderly sample [7] and a Spearman rho (ρ) of -0.88 (p < 0.05) in a sample with multiple sclerosis [20]. Comparable results were found between the FAPS and the timed 25 ft walk test (ρ = -0.82, p < 0.05) [20].…”

Section: Validity and Reliabilitymentioning

confidence: 79%

“…In these groups, ICC values for FAPS were 0.90 and 0.92, respectively [2]. Sosnoff et al found an ICC of 0.99 for the FAPS over four consecutive walking trials in persons with multiple sclerosis [20].…”

Section: Validity and Reliabilitymentioning

confidence: 93%

See 1 more Smart Citation

Use of Functional Ambulation Performance Score as measurement of gait ability: Review

Gouelle¹

2014

J Rehabil Res Dev

View full text Add to dashboard Cite

Abstract-Gait analysis systems are widely used for the assessment of gait disabilities and provide more accurate and detailed information than clinical tests. Scores and indexes have been proposed to summarize the large volume of data produced, each emphasizing different aspects of gait. Based on specific spatiotemporal gait parameters, the Functional Ambulation Performance Score (FAPS) quantifies gait at a selfselected speed. Integrated within electronic walkways, the FAPS is commonly used for clinical evaluations and has been used in an increasing number of publications over the past few years. However, its use is sometimes distorted by misunderstandings of its composition and calculation, practical and/or conceptual limits, and even the meaning of the score. This technical report reviews the use of the FAPS for the evaluation of gait based on peer-reviewed articles and clinical experience and addresses important issues that must be considered for an optimal unbiased understanding and analysis of the score.

show abstract

Evaluating the Sensoria Smart Socks Gait Monitoring System for Rehabilitation Outcomes

Yeung

Catolico

Fullmer

et al. 2019

PM&R

View full text Add to dashboard Cite

Background: Gait monitoring is important for rehabilitation but clinic-based measurements provide a brief snapshot of gait patterns. Many consumer-based activity monitors facilitate continuous gait monitoring in daily life but may be subject to measurement errors. This study examines a novel consumer-based activity monitor that is worn on the feet, and therefore not susceptible to inaccurately detecting upper body movements as gait. Objective: To evaluate the clinical validity of Sensoria smart socks, a commercially available wireless gait monitoring technology. Design: A method comparison study between the GAITRite, a criterion standard for clinical gait monitoring, and Sensoria smart socks. Setting: Outpatient rehabilitation clinic. Participants: Thirty individuals capable of supervised ambulation, with or without assistive devices, were recruited through the use of flyers and emails. Data were analyzed for 29 participants. Fifteen participants had no neurologic diagnosis. Fourteen participants had a neurologic diagnosis that could result in gait impairments. Diagnoses included Parkinson disease, stroke, brain injury, developmental delay, and acoustic neuroma. Methods: Participants completed three gait trials with simultaneous measurements by the smart socks and the GAITRite. Main Outcome Measures: Measurements of step count, cadence, and velocity were compared between the two gait monitoring systems. Results: There was no significant difference in step count measurements between the two systems. Although there was a significant difference in cadence measurements for the total sample group, the mean difference fell within the GAITRite Standard Error of Measurement. There was no significant difference in velocity measurements for the total sample group and the mean difference fell within the GAITRite Standard Error of Measurement. Conclusion: These results support the clinical validity of the smart socks for measuring step number and velocity. Further investigation is warranted to determine the efficacy and clinical value of the smart socks system for measuring cadence and for monitoring gait over longer distances outside the clinic.

show abstract

Quantifying gait impairment in multiple sclerosis using GAITRite™ technology

Cited by 70 publications

References 16 publications

Does a waist-worn ActiGraph accelerometer quantify community ambulation in persons with multiple sclerosis?

Does a waist-worn ActiGraph accelerometer quantify community ambulation in persons with multiple sclerosis?

Use of Functional Ambulation Performance Score as measurement of gait ability: Review

Evaluating the Sensoria Smart Socks Gait Monitoring System for Rehabilitation Outcomes

Contact Info

Product

Resources

About