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Mendeley readers
Attention Score in Context
| Title |
Non-Linear EMG Parameters for Differential and Early Diagnostics of Parkinson’s Disease
|
|---|---|
| Published in |
Frontiers in Neurology, January 2013
|
| DOI | 10.3389/fneur.2013.00135 |
| Pubmed ID | |
| Authors |
Alexander Y. Meigal, Saara M. Rissanen, Mika P. Tarvainen, Olavi Airaksinen, Markku Kankaanpää, Pasi A. Karjalainen |
| Abstract |
The pre-clinical diagnostics is essential for management of Parkinson's disease (PD). Although PD has been studied intensively in the last decades, the pre-clinical indicators of that motor disorder have yet to be established. Several approaches were proposed but the definitive method is still lacking. Here we report on the non-linear characteristics of surface electromyogram (sEMG) and tremor acceleration as a possible diagnostic tool, and, in prospective, as a predictor for PD. Following this approach we calculated such non-linear parameters of sEMG and accelerometer signal as correlation dimension, entropy, and determinism. We found that the non-linear parameters allowed discriminating some 85% of healthy controls from PD patients. Thus, this approach offers considerable potential for developing sEMG-based method for pre-clinical diagnostics of PD. However, non-linear parameters proved to be more reliable for the shaking form of PD, while diagnostics of the rigid form of PD using EMG remains an open question. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| United States | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Ph. D. Student | 14 | 23% |
| Student > Master | 7 | 12% |
| Professor > Associate Professor | 3 | 5% |
| Other | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 25% |
| Medicine and Dentistry | 10 | 17% |
| Neuroscience | 6 | 10% |
| Social Sciences | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 17 | 28% |
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 17 September 2013.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from Frontiers in Neurology
#8,635
of 11,628 outputs
Outputs of similar age
#248,784
of 280,761 outputs
Outputs of similar age from Frontiers in Neurology
#117
of 210 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,628 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 1st percentile – i.e., 1% 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 280,761 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.