Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

Schmitz‐Hübsch, Tanja; Brandt, Alexander U.; Pfueller, Caspar F.; Zange, Leonora; Seidel, Adrian; Kühn, Andrea A.; Paul, Friedemann; Minnerop, Martina; Doss, Sarah

doi:10.1016/j.gaitpost.2016.05.014

Cited by 60 publications

(58 citation statements)

References 33 publications

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“…This observation was unexpected and, to our knowledge, this has not been described previously. This effect may combine a carry-over effect [which has been reported in other contexts (26)] from prior walking in fast pace for 6 min on the one hand and, on the other, an artifact of instructed short distance recording which may not reflect the walking speed an individual would usually assume for longer distances. In fact, 6 MW was shown to have higher validity against daily walking functions in MS compared to short-term recordings (27).…”

Section: Discussionmentioning

confidence: 96%

Association Between Fatigue and Motor Exertion in Patients With Multiple Sclerosis—a Prospective Study

et al. 2020

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Background: Fatigue in multiple sclerosis (MS) is conceived as a multidimensional construct. Objectives: This study aims to describe the changes of balance and gait parameters after 6 min of walking (6 MW) as potential quantitative markers for perceptions of state fatigue and trait fatigue in MS. Methods: A total of 19 patients with MS (17 with fatigue) and 24 healthy subjects underwent static posturography, gait analysis, and ratings of perceived exertion before and after 6 MW. Results: 6 MW was perceived as exhaustive, but both groups featured more dynamic comfortable speed walking after 6 MW. Shorter stride length at maximum speed and increased postural sway after 6 MW indicated fatigability of balance and gait in MS group only. While most changes were related to higher levels of perceived exertion after 6 MW (state fatigue), higher fatigue ratings (trait fatigue) were only associated with less increase in arm swing at comfortable speed. Further analysis revealed different associations of trait fatigue and performance fatigability with disability and motor functions. Performance fatigability was most closely related to the Expanded Disability Status Scale, while for trait fatigue, the strongest correlations were seen with balance function and handgrip strength. Conclusions: Fatigability of performance was closely related to perceptions of exertion after 6 MW (state fatigue) and disability in MS but distinct from fatigue ratings, conceived as trait fatigue. Our study identified postural sway, arm swing during gait, and hand grip strength as unexpected potential motor indicators of fatigue ratings in MS.

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Section: Discussionmentioning

confidence: 96%

Association Between Fatigue and Motor Exertion in Patients With Multiple Sclerosis—a Prospective Study

et al. 2020

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“…In addition, the test does not allow for exploration of speed alteration itself, which is known to bring key information (Toebes et al, 2015). Eventually, imposing a given speed allows for matching with controls, with data from the literature (Bragge et al, 2014) or between baseline and follow-up measurements (Ellis et al, 2015; Schmitz-Hubsch et al, 2016). However, as for fastest speed walking, the pattern of walk is modified and speed alteration itself is not explored.…”

Section: Discussionmentioning

confidence: 99%

Inertial Sensors to Assess Gait Quality in Patients with Neurological Disorders: A Systematic Review of Technical and Analytical Challenges

et al. 2017

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Gait disorders are major causes of falls in patients with neurological diseases. Understanding these disorders allows prevention and better insights into underlying diseases. InertiaLocoGraphy (ILG) –the quantification of gait by using inertial measurement units (IMUs) –shows great potential to address this public health challenge, but protocols vary widely and normative values of gait parameters are still unavailable. This systematic review critically compares ILG protocols, questions features extracted from inertial signals and proposes a semeiological analysis of clinimetric characteristics for use in neurological clinical routine. For this systematic review, PubMed, Cochrane and EMBASE were searched for articles assessing gait quality by using IMUs that were published from January 1, 2014 to August 31, 2016. ILG was used to assess gait in a wide range of neurological disorders – including Parkinson disease, mild cognitive impairment, Alzheimer disease, cerebral palsy, and cerebellar atrophy – as well as in the faller or frail older population and in people presenting rheumatological pathologies. However, results have not yet been driving changes in clinical practice. One reason could be that studies mainly aimed at comparing pathological gait to healthy gait, but there is stronger need for semiological descriptions of gait perturbation, severity or prognostic assessment. Furthermore, protocols used to assess gait using IMUs are too many. Likely, outcomes are highly heterogeneous and difficult to compare across large panels of studies. Therefore, homogenization is needed to foster the use of ILG to assess gait quality in neurological routine practice. The pros and cons of each protocol are emphasized so that a compromise can be reached. As well, analysis of seven complementary clinical criteria (springiness, sturdiness, smoothness, steadiness, stability, symmetry, synchronization) is advocated.

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“…In the Bland-Altman plots, the mean of the two measurements is assigned as the abscissa ( x -axis), and their difference as the ordinate ( y -axis). Along with the scatter plot of between-method differences, the 95% limits of agreement (LoA = 1.96 × SD of between-system difference) are reported [ 9 ]. If the differences within mean ± 1.96 SD are not clinically important, the two methods may be used interchangeably.…”

Section: Signal Processing and Data Analysismentioning

confidence: 99%

“…Among wearable sensors, Magnetic and Inertial Measurement Units (MIMUs) are the most promising ones [ 6 , 7 ]. However, since in the clinic high accuracy and repeatability are mandatory, MIMUs’ validity in clinical gait analysis is still an open issue, as documented by many recent studies comparing MIMUs’ performances against a gold standard [ 6 , 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

A Wearable Magneto-Inertial System for Gait Analysis (H-Gait): Validation on Normal Weight and Overweight/Obese Young Healthy Adults

Agostini

Gastaldi

Rosso

et al. 2017

Sensors

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Background: Wearable magneto-inertial sensors are being increasingly used to obtain human motion measurements out of the lab, although their performance in applications requiring high accuracy, such as gait analysis, are still a subject of debate. The aim of this work was to validate a gait analysis system (H-Gait) based on magneto-inertial sensors, both in normal weight (NW) and overweight/obese (OW) subjects. The validation is performed against a reference multichannel recording system (STEP32), providing direct measurements of gait timings (through foot-switches) and joint angles in the sagittal plane (through electrogoniometers). Methods: Twenty-two young male subjects were recruited for the study (12 NW, 10 OW). After positioning body-fixed sensors of both systems, each subject was asked to walk, at a self-selected speed, over a 14-m straight path for 12 trials. Gait signals were recorded, at the same time, with the two systems. Spatio-temporal parameters, ankle, knee, and hip joint kinematics were extracted analyzing an average of 89 ± 13 gait cycles from each lower limb. Intraclass correlation coefficient and Bland-Altmann plots were used to compare H-Gait and STEP32 measurements. Changes in gait parameters and joint kinematics of OW with respect NW were also evaluated. Results: The two systems were highly consistent for cadence, while a lower agreement was found for the other spatio-temporal parameters. Ankle and knee joint kinematics is overall comparable. Joint ROMs values were slightly lower for H-Gait with respect to STEP32 for the ankle (by 1.9° for NW, and 1.6° for OW) and for the knee (by 4.1° for NW, and 1.8° for OW). More evident differences were found for hip joint, with ROMs values higher for H-Gait (by 6.8° for NW, and 9.5° for OW). NW and OW showed significant differences considering STEP32 (p = 0.0004), but not H-Gait (p = 0.06). In particular, overweight/obese subjects showed a higher cadence (55.0 vs. 52.3 strides/min) and a lower hip ROM (23.0° vs. 27.3°) than normal weight subjects. Conclusions: The two systems can be considered interchangeable for what concerns joint kinematics, except for the hip, where discrepancies were evidenced. Differences between normal and overweight/obese subjects were statistically significant using STEP32. The same tendency was observed using H-Gait.

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Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

Cited by 60 publications

References 33 publications

Association Between Fatigue and Motor Exertion in Patients With Multiple Sclerosis—a Prospective Study

Association Between Fatigue and Motor Exertion in Patients With Multiple Sclerosis—a Prospective Study

Inertial Sensors to Assess Gait Quality in Patients with Neurological Disorders: A Systematic Review of Technical and Analytical Challenges

A Wearable Magneto-Inertial System for Gait Analysis (H-Gait): Validation on Normal Weight and Overweight/Obese Young Healthy Adults

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