Gait analysis in multiple sclerosis: Characterization of temporal–spatial parameters using GAITRite functional ambulation system

Givon, Uri; Zeilig, Gabriel; Achiron, Anat

doi:10.1016/j.gaitpost.2008.07.011

Cited by 271 publications

(214 citation statements)

References 18 publications

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“…1,[7][8][9] In our study, velocities were not significantly different for the self-selected walking trials between participants with MS/CIS and controls. The discrepancy between our findings and those of previous studies may be partly explained by the instructions given to our participants.…”

Section: Resultscontrasting

confidence: 61%

“…Gait analysis has previously revealed other abnormal gait parameters in study samples in which participants had minimal abnormal neurologic findings, 7,8 but details concerning gait parameters involving MS study samples with normal neurologic examination results are surprisingly lacking. It remains to be determined if a particular gait parameter may be especially sensitive to subclinical disease activity and whether this could be easily recorded at a bedside assessment.…”

Section: Practicepointsmentioning

confidence: 99%

“…6 Gait analysis includes the measurement of the movement of the body in space (kinematics) and the forces involved in producing the movement (kinetics). Prior research investigating kinematic parameters of gait in MS has found decreased gait velocity, 1,7-11 cadence, step length, and stride length 1,[7][8][9] and increased time spent in the double limb support phase of the gait cycle. 1,6,8 Also reported are abnormalities in the joint angles of the hip, knee, and ankle 1,8,12 and kinetic abnormalities demonstrated by altered patterns of electromyography (EMG) activity during regular gait.…”

mentioning

confidence: 98%

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Step-Length Variability in Minimally Disabled Women with Multiple Sclerosis or Clinically Isolated Syndrome

Flegel¹,

Knox²,

Nickel³

2012

International Journal of MS Care

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Gait is one of the most frequently impaired bodily functions in multiple sclerosis (MS). Determining abnormal parameters of gait in early MS could influence MS treatment and rehabilitation. The purpose of this study was to determine whether increased step-length variability could be detected in minimally disabled patients with MS or clinically isolated syndrome (CIS) using a sensored walkway gait analysis system. Nine participants with MS/CIS and nine age-and gender-matched controls were recruited for this study. MS/CIS participants underwent a neurologic examination, and all participants completed a screening interview. Each participant completed three walks at a self-selected pace and three walks at a brisk pace across the GAITRite walkway (MAP/CIR Inc, Havertown, PA). Mean values for step-length variability, step length, and velocity were calculated for each participant's selfselected and brisk trials. Independent t tests were used to compare MS/CIS participants with controls, and effect sizes were calculated.Step-length variability in the left leg at the self-selected pace was found to be greater in participants with MS/CIS than in controls, although no significant differences were found in velocity or step length.Step-length variability measurement shows promise in detecting subtle gait dysfunction. Larger, prospective studies exploring step-length variability may determine its clinical viability for detecting subtle gait dysfunction and could lead to improved prognostication of disability progression in MS. Int J MS Care. 2012;14:26-30.

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Section: Resultscontrasting

confidence: 61%

Section: Practicepointsmentioning

confidence: 99%

mentioning

confidence: 98%

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Step-Length Variability in Minimally Disabled Women with Multiple Sclerosis or Clinically Isolated Syndrome

Flegel¹,

Knox²,

Nickel³

2012

International Journal of MS Care

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“…The degree of impairment is associated with the severity of dysfunction in various neurological systems 1 . Gait disorders are reported as main complaint by 85% of MS patients, and over one third of them do not retain the ability to walk 20 years after the diagnosis.…”

Section: Discussionmentioning

confidence: 99%

“…Gait disorders are reported as main complaint by 85% of MS patients, and over one third of them do not retain the ability to walk 20 years after the diagnosis. Impaired walking can be a marker of both disability and disease progression and, therefore, it is an important outcome measurement when it comes to treatment and rehabilitation of diseases such as MS 1,[21][22][23] . The relevance of our study lies in its quantification of patients' perception of the impact of MS on walking ability.…”

Section: Discussionmentioning

confidence: 99%

Cross-cultural adaptation and validation of the 12-item Multiple Sclerosis Walking Scale (MSWS-12) for the Brazilian population

Marangoni¹,

Pavan²,

Tilbery³

2012

Arq. Neuro-Psiquiatr.

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Gait impairment is reported by 85% of patients with multiple sclerosis (MS) as main complaint. In 2003, Hobart et al. developed a scale for walking known as The 12-item Multiple Sclerosis Walking Scale (MSWS-12), which combines the perspectives of patients with psychometric methods. OBJECTIVE: This study aimed to cross-culturally adapt and validate the MSWS-12 for the Brazilian population with MS. METHODS: This study included 116 individuals diagnosed with MS, in accordance with McDonald's criteria. The steps of the adaptation process included translation, back-translation, review by an expert committee and pretesting. A test and retest of MSWS-12/BR was made for validation, with comparison with another scale (MSIS-29/BR) and another test (T25FW). RESULTS: The Brazilian version of MSWS-12/BR was shown to be similar to the original. The results indicate that MSWS-12/BR is a reliable and reproducible scale. CONCLUSIONS: MSWS-12/BR has been adapted and validated, and it is a reliable tool for the Brazilian population.

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Evaluating the Sensoria Smart Socks Gait Monitoring System for Rehabilitation Outcomes

Yeung

Catolico

Fullmer

et al. 2019

PM&R

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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.

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Gait analysis in multiple sclerosis: Characterization of temporal–spatial parameters using GAITRite functional ambulation system

Cited by 271 publications

References 18 publications

Step-Length Variability in Minimally Disabled Women with Multiple Sclerosis or Clinically Isolated Syndrome

Step-Length Variability in Minimally Disabled Women with Multiple Sclerosis or Clinically Isolated Syndrome

Cross-cultural adaptation and validation of the 12-item Multiple Sclerosis Walking Scale (MSWS-12) for the Brazilian population

Evaluating the Sensoria Smart Socks Gait Monitoring System for Rehabilitation Outcomes

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