Deficits in Scaling of Gait Force and Cycle in Parkinsonian Gait Identified by Long-Term Monitoring of Acceleration with the Portable Gait Rhythmogram

Terashi, Hiroo; Utsumi, Hiroya; Ishimura, Yohei; Takazawa, Tomoko; Okuma, Yasuyuki; Yoneyama, Mitsuru; Mitoma, Hiroshi

doi:10.5402/2012/306816

Cited by 10 publications

(22 citation statements)

References 13 publications

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Section: Discussionmentioning

confidence: 77%

“…Previously, we reported that SARA did not correlate with the total length traveled or the root mean square area of body sway as measured 11 by body stabilometry [8]. Some reports of gait analysis in PD patients have evaluated acceleration, but not amplitude or CV [9].Menz et al reported that the magnitude of pelvis accelerations increased, while head accelerations were not affected by the walking surface when walking on an irregular surface [10]. In the present study, when we compared each parameter of the healthy control group by upper and lower back, the CV of ML and VT were lower in the upper back, while the CV of AP was lower in the lower back.…”

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confidence: 78%

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Quantitative evaluation of gait ataxia by accelerometers

Shirai

Yabe

Matsushima

et al. 2015

Journal of the Neurological Sciences

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Correspondence to Hidenao Sasaki, h-isasak@med.hokudai.ac.jp Although there are various types of biomarkers such as molecular markers and imaging markers, an appropriate maker for neurodegenerative disease has not been identified. Thus, we use clinical evaluation scales. However, it is important to identify an appropriate biomarker in order to evaluate the efficiency of a given clinical trial.Here, we performed gait analyses in patients with pure cerebellar type spinocerebellar degeneration (SCD) and assessed whether the obtained data could be used as a neurophysiological biomarker for cerebellar ataxia.Here we performed gait analysis in patients with pure cerebellar type spinocerebellar degeneration (SCD) and assessed whether the obtained data could be used as a neurophysiological biomarker for cerebellar ataxia. We evaluated the clinical severity of each patient in the SCD group using the Scale for the Assessment and Rating of Ataxia (SARA) [1, 2] and the Berg Balance Scale (BBS) [3,4]. The mean SARA of the SCD group was 13.26±4.43, while the mean Unified Parkinson's Disease Rating Scale (UPDRS) part III was 18. 48±8.4760. 6 This study was approved by the ethics panels of Hokkaido University Hospital and Kushiro Rosai Hospital. Methods (Fig. 1)Acceleration signals were measured during 6 min walking and 1 min standing tasks by two sets of triaxial accelerometers (Mimamori-gait system, LSI Medience; size, 7.5 cm × 5 cm × 2 cm; weight, 95 g) that were secured with a fixation vest to the middle of the subject's lower and upper back.When in the standing position, the subjects were evaluated with their eyes open for 1 min and then their eyes closed for another 1 min. An assistant remained beside the subjects in order to prevent falls, however, no falls occurred. The subjects were evaluated while they shuttle-walked a 30 m straight line for 6 min (6-min walk test (6MWT) [5]). Similar tasks were performed in the JASMITT study [6] and in other studies. When standing in the anatomical position, the orientation of the three acceleration axes, X, Y, and Z, were medial/lateral (ML), vertical (VT), and anterior/posterior (AP), respectively. Data were collected at a sampling frequency of 100 Hz and stored on a secure digital memory card inserted into the device for later analysis. To quantify body motion during standing, we examined parameters as follows:1. The three acceleration components ax(t), ay(t), and az(t) were smoothed by a moving-window average with a window size of 5.6 s to generate three 8 baseline signals: Bx(t), By(t), and Bz(t). Statistical analysisWe used Student's t-test for inter-group comparison and Pearson's correlation coefficients for disease severity and each parameter analysis.The JMPⓇ Pro 11.2.0 software program (SAS Institute Inc., Cary, NC, USA) was used for statistical analyses. We considered the results significant if p<0.05. The test of significance was adjusted for multiple testing using a Bonferroni step-down (Holm) correction. ResultsWe compared each parameter of SCD patients to that of...

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Section: Discussionmentioning

confidence: 77%

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confidence: 78%

Quantitative evaluation of gait ataxia by accelerometers

Shirai

Yabe

Matsushima

et al. 2015

Journal of the Neurological Sciences

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“…The PGR is a trunk-mounted small device (size, 8×6×2 cm, weight, 80 g) ( Figure 1) housing an acceleration sensor with automatic gait detection algorithm, in which gait induced-accelerations are extracted from limb and trunk movements using a mathematical algorithm; the "pattern matching method" [13][14][15][16][17][18][19][20]. …”

Section: Methods: Gait Rhythmography For Monitoring Gaitinduced Accelmentioning

confidence: 99%

“…Continuous recordings of walking movements during daily activities also clarified how gait parameters are voluntarily controlled. We proposed the technique of gait acceleration-cycle plot, to examine how the gait is voluntarily controlled [15,17,18].…”

Section: Subjective Motor Fluctuation In Pd Does Not Necessarily Corrmentioning

confidence: 99%

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A Newly Developed Wearable Device for Continuous Measurement of Gait- Induced Accelerations in Daily Activities

Mitoma

Yoneyama²

2014

rain Disord Ther

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For assessment of gait disorders, speed and stride are measured during 10m-walking test. However, changes in these two parameters are nonspecific since they are observed in various gait disorders. In addition, the10-m walking is short and reflects only one aspect of daily living and the results could be affected by emotional stress. To examine the step cycles and forces for step-in and kick off, which are directly controlled by a complex neural circuitry, during daily walking and over a long period of time, we developed a new wearing device, the portable gait rhythmogram (PGR), which monitors gait-induced accelerations for up to 70 hours. Quantitative analysis of the gait acceleration cycle and amplitude has allowed characterization of the bradykinematic features of gait disorders in patients with Parkinson's disease: 1) A decrease in amplitude of gait acceleration in the early stages of the disease, which is compensated by fast stepping. 2) Subjective motor fluctuation did not necessarily coincide with changes in gait parameters. The results suggest that the rhythms-force correlation is set by the basal ganglia, but can be modified by the cerebral cortex. Analysis of voluntary gait in daily life could enhance our understanding of the pathomechanisms of gait disorders.

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Dynamic control of posture across locomotor tasks

Earhart

2013

Movement Disorders

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Successful locomotion depends on postural control to establish and maintain appropriate postural orientation of body segments relative to one another and to the environment, and to ensure dynamic stability of the moving body. This paper provides a framework for considering dynamic postural control, highlighting the importance of coordination, consistency, and challenges to postural control posed by various locomotor tasks such as turning and backward walking. The impacts of aging and various movement disorders on postural control are discussed broadly in an effort to provide a general overview of the field and recommendations for assessment of dynamic postural control across different populations in both clinical and research settings. Suggestions for future research on dynamic postural control during locomotion are also provided and include discussion of opportunities afforded by new and developing technologies, the need for long-term monitoring of locomotor performance in everyday activities, gaps in our knowledge of how targeted intervention approaches modify dynamic postural control, and the relative paucity of literature regarding dynamic postural control in movement disorder populations other than Parkinson disease.

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Deficits in Scaling of Gait Force and Cycle in Parkinsonian Gait Identified by Long-Term Monitoring of Acceleration with the Portable Gait Rhythmogram

Cited by 10 publications

References 13 publications

Quantitative evaluation of gait ataxia by accelerometers

Quantitative evaluation of gait ataxia by accelerometers

A Newly Developed Wearable Device for Continuous Measurement of Gait- Induced Accelerations in Daily Activities

Dynamic control of posture across locomotor tasks

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