↓ Skip to main content

Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, March 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
39 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
Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study
Published in
Journal of NeuroEngineering and Rehabilitation, March 2018
DOI 10.1186/s12984-018-0365-z
Pubmed ID
Authors

Chang-Hee Han, Han-Jeong Hwang, Jeong-Hwan Lim, Chang-Hwan Im

Abstract

Functional near infrared spectroscopy (fNIRS) finds extended applications in a variety of neuroscience fields. We investigated the potential of fNIRS to monitor voluntary engagement of users during neurorehabilitation, especially during combinatory exercise (CE) that simultaneously uses both, passive and active exercises. Although the CE approach can enhance neurorehabilitation outcome, compared to the conventional passive or active exercise strategies, the active engagement of patients in active motor movements during CE is not known. We determined hemodynamic responses induced by passive exercise and CE to evaluate the active involvement of users during CEs using fNIRS. In this preliminary study, hemodynamic responses of eight healthy subjects during three different tasks (passive exercise alone, passive exercise with motor imagery, and passive exercise with active motor execution) were recorded. On obtaining statistically significant differences, we classified the hemodynamic responses induced by passive exercise and CEs to determine the identification accuracy of the voluntary engagement of users using fNIRS. Stronger and broader activation around the sensorimotor cortex was observed during CEs, compared to that during passive exercise. Moreover, pattern classification results revealed more than 80% accuracy. Our preliminary study demonstrated that fNIRS can be potentially used to assess the engagement of users of the combinatory neurorehabilitation strategy.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 5 13%
Student > Bachelor 4 10%
Student > Postgraduate 2 5%
Professor 2 5%
Other 5 13%
Unknown 14 36%
Readers by discipline Count As %
Engineering 7 18%
Nursing and Health Professions 4 10%
Medicine and Dentistry 4 10%
Neuroscience 3 8%
Social Sciences 1 3%
Other 3 8%
Unknown 17 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 April 2018.
All research outputs
#7,729,022
of 12,818,993 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#417
of 717 outputs
Outputs of similar age
#150,027
of 270,462 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 4 outputs
Altmetric has tracked 12,818,993 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 717 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 38th percentile – i.e., 38% 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 270,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.