Literature DB >> 21088340

24-hour recording of parkinsonian gait using a portable gait rhythmogram.

Hiroshi Mitoma1, Mitsuru Yoneyama, Satoshi Orimo.   

Abstract

OBJECTIVE: In the advanced stage of Parkinson's disease (PD), motor fluctuation is a frequent and a disabling problem. Despite its importance, motor fluctuation has received little scientific analysis probably due to limitation in objective assessment. Here, we focused on gait disorders to estimate motor fluctuation in daily activities. PATIENTS AND METHODS: Using a new device, the portable gait rhythmogram, we recorded gait rhythm continuously over 24 hours in 22 patients with PD and in 11 normal controls, for quantitative evaluation of motor fluctuation. The duration of one gait cycle was measured.
RESULTS: Continuous 24-hour recording identified changes in gait rhythm, which correlated with fluctuation of PD symptoms. Different motor fluctuations were observed; a shift to a faster gait cycle was noted in patients with short-step walking, festination or freezing of gait, whereas a shift to a slower gait cycle was observed in patients with bradykinesia or instability.
CONCLUSION: Characterization of motor fluctuation using this device could help in the selection of appropriate anti-PD medications.

Entities:  

Mesh:

Year:  2010        PMID: 21088340     DOI: 10.2169/internalmedicine.49.3511

Source DB:  PubMed          Journal:  Intern Med        ISSN: 0918-2918            Impact factor:   1.271


  20 in total

1.  Association of daily physical activity with cognition and mood disorders in treatment-naive patients with early-stage Parkinson's disease.

Authors:  Hiroo Terashi; Takeshi Taguchi; Yuki Ueta; Hiroshi Mitoma; Hitoshi Aizawa
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2.  Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors.

Authors:  Conrad S Tucker; Ishan Behoora; Harriet Black Nembhard; Mechelle Lewis; Nicholas W Sterling; Xuemei Huang
Journal:  Comput Biol Med       Date:  2015-09-08       Impact factor: 4.589

Review 3.  Normal and pathological gait: what we learn from Parkinson's disease.

Authors:  David Grabli; Carine Karachi; Marie-Laure Welter; Brian Lau; Etienne C Hirsch; Marie Vidailhet; Chantal François
Journal:  J Neurol Neurosurg Psychiatry       Date:  2012-06-29       Impact factor: 10.154

4.  A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.

Authors:  Jorge Marquez Chavez; Wei Tang
Journal:  Sensors (Basel)       Date:  2022-06-13       Impact factor: 3.847

Review 5.  Toward precision medicine in Parkinson's disease.

Authors:  Lu-Lu Bu; Ke Yang; Wei-Xi Xiong; Feng-Tao Liu; Boyd Anderson; Ye Wang; Jian Wang
Journal:  Ann Transl Med       Date:  2016-01

Review 6.  Objective and quantitative assessment of motor function in Parkinson's disease-from the perspective of practical applications.

Authors:  Ke Yang; Wei-Xi Xiong; Feng-Tao Liu; Yi-Min Sun; Susan Luo; Zheng-Tong Ding; Jian-Jun Wu; Jian Wang
Journal:  Ann Transl Med       Date:  2016-03

7.  Reliability in one-repetition maximum performance in people with Parkinson's disease.

Authors:  Thomas A Buckley; Christopher J Hass
Journal:  Parkinsons Dis       Date:  2011-10-26

8.  Deficits in scaling of gait force and cycle in parkinsonian gait identified by long-term monitoring of acceleration with the portable gait rhythmogram.

Authors:  Hiroo Terashi; Hiroya Utsumi; Yohei Ishimura; Tomoko Takazawa; Yasuyuki Okuma; Mitsuru Yoneyama; Hiroshi Mitoma
Journal:  ISRN Neurol       Date:  2012-10-16

9.  How far do the complaints of patients with Parkinson's disease reflect motor fluctuation? Quantitative analysis using a portable gait rhythmogram.

Authors:  Hiroya Utsumi; Hiroo Terashi; Yohei Ishimura; Tomoko Takazawa; Yasuyuki Okuma; Mitsuru Yoneyama; Hiroshi Mitoma
Journal:  ISRN Neurol       Date:  2012-12-13

Review 10.  Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review.

Authors:  Dax Steins; Helen Dawes; Patrick Esser; Johnny Collett
Journal:  J Neuroeng Rehabil       Date:  2014-03-13       Impact factor: 4.262

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