Classifying lower limb dynamics in Parkinson’s disease

Abe, Kazuo; Asai, Yoshiyuki; Matsuo, Yoshimi; Nomura, Taishin; Sato, Shunsuke; Inoue, Sumito; Mizukura, Isao; Sakoda, Sabro

doi:10.1016/s0361-9230(03)00119-9

Cited by 48 publications

(61 citation statements)

References 23 publications

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“…Indeed several recent physiological studies support the hypothesis of motor disassociation between the legs during the walking of PD patients (e.g., Refs. [29,30]). …”

Section: Phase Synchronization Analysis Of the Parkinsonian Gaitmentioning

confidence: 99%

Fluctuation and synchronization of gait intervals and gait force profiles distinguish stages of Parkinson's disease

Bartsch¹,

Plotnik²,

Kantelhardt³

et al. 2007

Physica A: Statistical Mechanics and its Applications

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We study the effects of Parkinson's disease (PD) on the long-term fluctuation and phase synchronization properties of gait timing (series of interstride intervals) as well as gait force profiles (series characterizing the morphological changes between the steps). We find that the fluctuations in the gait timing are significantly larger for PD patients and early PD patients, who were not treated yet with medication, compared to age-matched healthy controls. Simultaneously, the long-term correlations and the phase synchronization of right and left leg are significantly reduced in both types of PD patients. Surprisingly, long-term correlations of the gait force profiles are relatively weak for treated PD patients and healthy controls, while they are significantly larger for early PD patients. The results support the idea that timing and morphology of recordings obtained from a complex system can contain complementary information.

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“…Indeed several recent physiological studies support the hypothesis of motor disassociation between the legs during the walking of PD patients (e.g., Refs. [29,30]). …”

Section: Phase Synchronization Analysis Of the Parkinsonian Gaitmentioning

confidence: 99%

Fluctuation and synchronization of gait intervals and gait force profiles distinguish stages of Parkinson's disease

Bartsch¹,

Plotnik²,

Kantelhardt³

et al. 2007

Physica A: Statistical Mechanics and its Applications

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“…For instance, Body-Weight-Supported Treadmill (BWST) [6,7] is used to reduce and adjust patients' workload. Strength Ergo [8,9] can precisely control the pedaling speed and the payload to realize di erent training modes for di erent patients. Recently to improve the e ciency of walking training, to promote the safety to avoid injuries in training or to provide entertainment to motivate the patients, a growing number of robotic systems have been developed for lower-limb physical rehabilitation.…”

Section: Conventional Methods and Related Work Conventional Methodsmentioning

confidence: 99%

A Walking Training System with Customizable Trajectory Designing

Dong

Matsumaru

2014

Paladyn, Journal of Behavioral Robotics

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This paper shows a novel walking training system for foot-eye coordination. To design customizable trajectories for di erent users conveniently in walking training, a new system which can track and record the actual walking trajectories by a tutor and can use these trajectories for the walking training by a trainee is developed. We set the four items as its human-robot interaction design concept: feedback, synchronization, ingenuity and adaptability. A foot model is proposed to de ne the position and direction of a foot. The errors in the detection method used in the system are less than 40 mm in position and 15 deg in direction. On this basis, three parts are structured to achieve the system functions: Trajectory Designer, Trajectory Viewer and Mobile Walking Trainer. According to the experimental results, we have con rmed the system works as intended and designed such that the steps recorded in Trajectory Designer could be used successfully as the footmarks projected in Mobile Walking Trainer and foot-eye coordination training would be conducted smoothly.

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“…The diagnosis of patients with DRPLA, MJD, CA and SCA 8 was based on DNA analyses. Twenty-seven patients with idiopathic parkinsonism, who were studied in a previous investigation of ours 4) , were also referred. They comprised 14 women and 13 men with a mean age of 65.7 ± 9.0 years (range: 39-78) and a mean duration of illness of 4.7 ± 4.8 years (range 2-10 years).…”

Section: Subjectsmentioning

confidence: 99%

“…The indices mrl and vrl were defined in order to extract information reflecting cross-correlation between the left and right velocities. (For further explanation, see appendix and reference 4) ). These values were calculated from a set of time series for rotational velocities of the left and right pedals, amplitude and relative phase.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…"Interlimb coordination" as coordination between the left and right limbs and use a term "intralimb coordination" as coordination among two or more joints in the same limb. A survey of the literature has led us to hypothesize that intralimb incoordination may be a key clinical feature of cerebellar ataxia patients 1) , and thus needs to be distinguished from "interlimb incoordination", which is typical of patients with parkinsonism [3][4][5] . To obtain the results reported here, we measured intralimb incoordination in patients with cerebellar ataxia by using an ergometer with left and right pedals that can be rotated independently, and compared it with interlimb incoordination in patients with parkinsonism.…”

mentioning

confidence: 99%

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Intralimb and Interlimb Incoordination: Comparative Study between Patients with Parkinsonism and with Cerebellar Ataxia

Matsuo

Asai

Nomura

et al. 2005

J Jpn Phys Ther Assoc

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Abstract. Dysfunction of limb coordination may be divided into two categories; intra and inter-limb incoordination. To make clear differential character in these two limb incoordination, we measured 13 patients mainly with cerebellar ataxia and 27 patients mainly with parkinsonism during pedaling of an ergometer with left and right pedals that can be rotated independently. As a result, interlimb incoordination was predominantly observed in patients with parkinsonism, while patients with cerebellar ataxia showed relatively preserved interlimb coordination but intralimb incoordination. We concluded that impairment of intralimb coordination was a character in patients with cerebellar ataxia, while impairment of interlimb coordination was a character in patients with parkinsonism.

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Classifying lower limb dynamics in Parkinson’s disease

Cited by 48 publications

References 23 publications

Fluctuation and synchronization of gait intervals and gait force profiles distinguish stages of Parkinson's disease

Fluctuation and synchronization of gait intervals and gait force profiles distinguish stages of Parkinson's disease

A Walking Training System with Customizable Trajectory Designing

Intralimb and Interlimb Incoordination: Comparative Study between Patients with Parkinsonism and with Cerebellar Ataxia

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