2015
DOI: 10.1007/s11517-015-1324-5
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Time-dependent changes in postural control in early Parkinson’s disease: what are we missing?

Abstract: Impaired postural control (PC) is an important feature of Parkinson's disease (PD) but optimal testing protocols are yet to be established. Accelerometer-based monitors provide objective measures of PC.We characterised time-dependent changes in PC in people with PD and controls during standing, and identified outcomes most sensitive to pathology. Thirty-one controls and 26 PD patients were recruited: PC was measured with an accelerometer on the lower back for 2 minutes (mins).Preliminary analysis (autocorrelat… Show more

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Cited by 20 publications
(26 citation statements)
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“…A single tri-axial accelerometer (Axivity AX3, York, UK) on the lower back recorded acceleration at a sampling rate of 100 Hz [14].…”
Section: Equipmentmentioning
confidence: 99%
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“…A single tri-axial accelerometer (Axivity AX3, York, UK) on the lower back recorded acceleration at a sampling rate of 100 Hz [14].…”
Section: Equipmentmentioning
confidence: 99%
“…The tri-axial accelerometry data were exported to the MATLAB ® (R2015a, Mathworks, Natick, MA) environment, downsampled to 10 Hz and rotated using the Moe-Nilssen transformation into anteroposterior, mediolateral and vertical accelerations [14,23]. No filtering was applied.…”
Section: Data Processingmentioning
confidence: 99%
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“…Recorded AX3 accelerations store locally on the device's internal memory and then downloaded upon the completion of each walking trial. The feasibility, validity and reliability of the AX3 accelerometer has been previously demonstrated for measuring spatio-temporal aspects of gait and physical activity in a stroke population in the clinic and the community 35 .…”
Section: Accelerometer Descriptionmentioning
confidence: 99%
“…In patients with movement disorders, both abnormal static posture (Del Din et al, 2016) and pathological dysfunctions in sensory-motor circuitry contribute to the loss in balance function and the increased risk for fall (Gatev et al, 2006; Darbin, 2012; Darbin et al, 2013a; Schrag et al, 2015). The integration of vestibular information involves a large circuitry.…”
Section: Introductionmentioning
confidence: 99%