Quantitative Gait Analysis in Patients with Huntington’s Disease

نویسندگان

  • Seon Jong Pyo
  • Hanjun Kim
  • Il Soo Kim
  • Young-Min Park
  • Mi-Jung Kim
  • Hye Mi Lee
  • Seong-Beom Koh
چکیده

OBJECTIVE Gait disturbance is the main factor contributing to a negative impact on quality of life in patients with Huntington's disease (HD). Understanding gait features in patients with HD is essential for planning a successful gait strategy. The aim of this study was to investigate temporospatial gait parameters in patients with HD compared with healthy controls. METHODS We investigated 7 patients with HD. Diagnosis was confirmed by genetic analysis, and patients were evaluated with the Unified Huntington's Disease Rating Scale (UHDRS). Gait features were assessed with a gait analyzer. We compared the results of patients with HD to those of 7 age- and sex-matched normal controls. RESULTS Step length and stride length were decreased and base of support was increased in the HD group compared to the control group. In addition, coefficients of variability for step and stride length were increased in the HD group. The HD group showed slower walking velocity, an increased stance/swing phase in the gait cycle and a decreased proportion of single support time compared to the control group. Cadence did not differ significantly between groups. Among the UHDRS subscores, total motor score and total behavior score were positively correlated with step length, and total behavior score was positively correlated with walking velocity in patients with HD. CONCLUSION Increased variability in step and stride length, slower walking velocity, increased stance phase, and decreased swing phase and single support time with preserved cadence suggest that HD gait patterns are slow, ataxic and ineffective. This study suggests that quantitative gait analysis is needed to assess gait problems in HD.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Detection of Movement Disorders Using Multi SVM

Gait analysis is very significant for early diagnosis of gait diseases and treatment assessment. Gait analysis is used to assess, plan and to treat the individuals with conditions affecting their ability to walk. In recent years, doctors gain more clarity and exact disease assessment by means of machine learning technologies and this has gained much application of gait analysis. The patients su...

متن کامل

Longitudinal Change in Gait and Motor Function in Pre-manifest Huntington’s Disease

The purpose of this study was to examine longitudinal change in gait and motor function in pre-manifest Huntington's disease (HD).We examined ten pre-manifest subjects at baseline, one and five years. Quantitative gait data were collected with an electronic mat (GAITRite®). We analyzed measures related to speed (velocity, step length, cadence), asymmetry (step length difference), dynamic balanc...

متن کامل

Knee Kinematic Improvement After Total Knee Replacement Using a Simplified Quantitative Gait Analysis Method

Objectives: The aim of this study was to extract suitable spatiotemporal and kinematic parameters to determine how Total Knee Replacement (TKR) alters patients’ knee kinematics during gait, using a rapid and simplified quantitative two-dimensional gait analysis procedure. Methods: Two-dimensional kinematic gait pattern of 10 participants were collected before and after the TKR surgery,...

متن کامل

A survey on Alzheimer’s disease detection using gait analysis

Introduction: Early detection of Alzheimer's disease (AD), as a neurodegenerative disease and the most common cause of dementia in the elderly people, using gait analysis have been particularly noted by researcher in recent years. Because this novel method is non-invasive, less cost, and feasible in non-clinical and laboratory environments. Therefore, in this Meta-Analysis review article, detec...

متن کامل

Detection of Alzheimer’s Disease in Elder People Using Gait Analysis and Kinect Camera

Introduction: Gait analysis through using modern technology for detection of Alzheimer's disease has found special attention by researchers over the last decade. In this study, skeletal data recorded with a Kinect camera, were used to analyze gait for the purpose of detecting Alzheimer's disease in elders. Method: In this applied-developmental experimental study, using a Kinect camera, data wer...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2017