(Q52027641)

20 April 2018

title

Automatic stride interval extraction from long, highly variable and noisy gait timing signals. (English)

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20 April 2018

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Tom Chau

1

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20 April 2018

Sidra Rizvi

series ordinal

2

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20 April 2018

publication date

1 October 2002

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20 April 2018

published in

Human Movement Science

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20 April 2018

volume

21

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20 April 2018

issue

4

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20 April 2018

page(s)

495-514

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20 April 2018

A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods

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Random stride intervals with memory

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Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis

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Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease

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Is walking a random walk? Evidence for long-range correlations in stride interval of human gait

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Fractal dynamics of human gait: stability of long-range correlations in stride interval fluctuations.

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Spectral analysis of blood pressure variability in heart transplant patients

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Spontaneous blinks as a criterion of visual fatigue during prolonged work on visual display terminals

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Fractal correlation of initial trajectory dynamics vanishes at the movement end point in human rapid goal-directed movements

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A reliable gait phase detection system.

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Mosaic organization of DNA nucleotides

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Effect of overtime work on cognitive function in automotive workers.

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Immediate and delayed after-effects of long lasting mentally demanding work.

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Fractal analysis of eye movements during reading

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7 January 2021

Real-time gait event detection for paraplegic FES walking.

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7 January 2021

Gait event detection for FES using accelerometers and supervised machine learning.

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7 January 2021

10.1016/S0167-9457(02)00125-2

Identifiers

DOI

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20 April 2018

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20 April 2018