| Title |
Interactive wiimote gaze stabilization exercise training system for patients with vestibular hypofunction
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, October 2012
|
| DOI | 10.1186/1743-0003-9-77 |
| Pubmed ID | |
| Authors |
Po-Yin Chen, Wan-Ling Hsieh, Shun-Hwa Wei, Chung-Lan Kao |
| Abstract |
Peripheral vestibular hypofunction is a major cause of dizziness. When complicated with postural imbalance, this condition can lead to an increased incidence of falls. In traditional clinical practice, gaze stabilization exercise is commonly used to rehabilitate patients. In this study, we established a computer-aided vestibular rehabilitation system by coupling infrared LEDs to an infrared receiver. This system enabled the subjects' head-turning actions to be quantified, and the training was performed using vestibular exercise combined with computer games and interactive video games that simulate daily life activities. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 242 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 43 | 17% |
| Student > Ph. D. Student | 38 | 15% |
| Student > Bachelor | 31 | 12% |
| Researcher | 25 | 10% |
| Student > Doctoral Student | 22 | 9% |
| Other | 40 | 16% |
| Unknown | 51 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 28% |
| Nursing and Health Professions | 41 | 16% |
| Psychology | 21 | 8% |
| Engineering | 12 | 5% |
| Neuroscience | 11 | 4% |
| Other | 36 | 14% |
| Unknown | 60 | 24% |
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 21 February 2013.
All research outputs
#14,153,088
of 22,681,577 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#717
of 1,277 outputs
Outputs of similar age
#99,072
of 172,685 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#8
of 12 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 172,685 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 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.