18 research outputs found

    Outcome measure results.

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    <p>Results of the <i>Group</i> (separate lines: PD vs. HE) × <i>Condition</i> (<i>x</i>-axis: self-paced, 100% RAC, 110% RAC) × <i>Device</i> (separate panels: SmartMOVE vs. heel contact–based) ANOVAs for step time (a.) and step length (b.) outcome measures.</p

    Statistics associated with the <i>RAC</i> Ă— <i>Device</i> ANOVA for step length outcome measures in PD patients.

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    <p>“SS” is the portioned sums of squares for each ANOVA term. Significant <i>p</i>-values are highlighted in bold.</p><p>Statistics associated with the <i>RAC</i> × <i>Device</i> ANOVA for step length outcome measures in PD patients.</p

    Demographics of the PD and HE samples, and clinical characteristics PD sample.

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    <p>“UPDRS III” is the Unified Parkinson’s Disease Rating Scale [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0141694#pone.0141694.ref072" target="_blank">72</a>] section III (lower score indicates greater motor impairment); “H & Y” is the modified Hoehn & Yahr stage assessment [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0141694#pone.0141694.ref073" target="_blank">73</a>] (higher score indicates more advanced PD stage); “MMSE” is the Mini Mental State Exam [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0141694#pone.0141694.ref074" target="_blank">74</a>] (lower score indicates greater cognitive impairment); and “FOGQ” is the Freezing of Gait Questionnaire [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0141694#pone.0141694.ref075" target="_blank">75</a>] (higher score indicates increased freezing severity).</p><p>Demographics of the PD and HE samples, and clinical characteristics PD sample.</p

    Summary of key features of prior studies of smartphone-mediated gait analysis.

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    <p><i>Abbreviations</i>: Accel.: conventional accelerometer; Δ<sub>M</sub>: mean inter-event interval; Δ<sub>SD</sub>: standard deviation of inter-event intervals; Δ<sub>CV</sub>: coefficient of variation of inter-event intervals; HE: healthy elderly; HY: healthy young; RA: rheumatoid arthritis; PD: Parkinson’s disease; SF: sampling frequency.</p><p><sup><i>a</i></sup> pilot data used to illustrate algorithms or processing steps in a proof-of-concept format;</p><p><sup><i>b</i></sup> obtained by dividing the pre-specified walking distance by the number of detected steps.</p><p>Summary of key features of prior studies of smartphone-mediated gait analysis.</p

    Autour de l'Europe : notes de voyage / par le Dr Paul Aubry

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    <p>“SS” is the portioned sums of squares for each ANOVA term. Significant <i>p</i>-values are highlighted in bold.</p><p>Statistics associated with the <i>RAC</i> × <i>Device</i> ANOVA for step length outcome measures in HE subjects.</p

    Histoire d'un four Ă  verre de l'ancienne Normandie / par A. Milet,...

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    Appartient à l’ensemble documentaire : HNormand1Contient une table des matièresAvec mode text

    Statistics associated with the <i>Group</i> Ă— <i>RAC</i> Ă— <i>Device</i> ANOVA for step time outcome measures.

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    <p>“SS” is the portioned sums of squares for each ANOVA term. Significant <i>p</i>-values are highlighted in bold.</p><p>Statistics associated with the <i>Group</i> × <i>RAC</i> × <i>Device</i> ANOVA for step time outcome measures.</p

    Key experimental features.

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    <p>The SmartMOVE mobile app (a.) utilizes the smartphone’s inertial measurement unit to record gait movements during walking. Flexible parameter settings (b.) enable precise control over testing parameters. SmartMOVE outcome measures were validated against heel-mounted footswitches and a GAITRite sensor walkway (c.) while subjects walked along a prescribed path (d.).</p

    Statistics associated with the <i>Group</i> Ă— <i>Device</i> ANOVA for step time outcome measures during self-paced walking.

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    <p>“SS” is the portioned sums of squares for each ANOVA term. Significant <i>p</i>-values are highlighted in bold.</p><p>Statistics associated with the <i>Group</i> × <i>Device</i> ANOVA for step time outcome measures during self-paced walking.</p
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