↓ Skip to main content

Prolonged Walking with a Wearable System Providing Intelligent Auditory Input in People with Parkinson’s Disease

Overview of attention for article published in Frontiers in Neurology, April 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
120 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prolonged Walking with a Wearable System Providing Intelligent Auditory Input in People with Parkinson’s Disease
Published in
Frontiers in Neurology, April 2017
DOI 10.3389/fneur.2017.00128
Pubmed ID
Authors

Pieter Ginis, Elke Heremans, Alberto Ferrari, Kim Dockx, Colleen G. Canning, Alice Nieuwboer

Abstract

Rhythmic auditory cueing is a well-accepted tool for gait rehabilitation in Parkinson's disease (PD), which can now be applied in a performance-adapted fashion due to technological advance. This study investigated the immediate differences on gait during a prolonged, 30 min, walk with performance-adapted (intelligent) auditory cueing and verbal feedback provided by a wearable sensor-based system as alternatives for traditional cueing. Additionally, potential effects on self-perceived fatigue were assessed. Twenty-eight people with PD and 13 age-matched healthy elderly (HE) performed four 30 min walks with a wearable cue and feedback system. In randomized order, participants received: (1) continuous auditory cueing; (2) intelligent cueing (10 metronome beats triggered by a deviating walking rhythm); (3) intelligent feedback (verbal instructions triggered by a deviating walking rhythm); and (4) no external input. Fatigue was self-scored at rest and after walking during each session. The results showed that while HE were able to maintain cadence for 30 min during all conditions, cadence in PD significantly declined without input. With continuous cueing and intelligent feedback people with PD were able to maintain cadence (p = 0.04), although they were more physically fatigued than HE. Furthermore, cadence deviated significantly more in people with PD than in HE without input and particularly with intelligent feedback (both: p = 0.04). In PD, continuous and intelligent cueing induced significantly less deviations of cadence (p = 0.006). Altogether, this suggests that intelligent cueing is a suitable alternative for the continuous mode during prolonged walking in PD, as it induced similar effects on gait without generating levels of fatigue beyond that of HE.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 119 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 16%
Student > Master 17 14%
Researcher 14 12%
Student > Bachelor 13 11%
Other 6 5%
Other 16 13%
Unknown 35 29%
Readers by discipline Count As %
Engineering 24 20%
Neuroscience 12 10%
Medicine and Dentistry 9 8%
Nursing and Health Professions 7 6%
Computer Science 6 5%
Other 20 17%
Unknown 42 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2017.
All research outputs
#15,452,475
of 22,962,258 outputs
Outputs from Frontiers in Neurology
#6,804
of 11,841 outputs
Outputs of similar age
#194,271
of 309,589 outputs
Outputs of similar age from Frontiers in Neurology
#93
of 164 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,841 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,589 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.