Name
Title | ||
|---|---|---|
Detection of tremor bursts from the sEMG signal: an optimization procedure for different detection methods. |
Abstract | ||
|---|---|---|
Two different detection techniques for EMG burst detection are here used to reveal tremor in both a set of synthetic data and in a small sample of experimental trials. An optimization procedure that employs the minimization of a cost function to provide the parameter set characterizing the two techniques is here presented and its performance assessed. The results obtained with the optimization procedure are satisfactory and suitable for practical use: the values for both bias and standard deviation in the estimation of both onset and offset time instants are lower than 10 ms, and the sensitivity and positive predictive value in the detection of tremor bursts are > 96% for SNR levels higher than 6 dB. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091851 | EMBC |
Keywords | Field | DocType |
optimisation,snr levels,medical signal detection,tremor bursts,medical signal processing,electromyography,semg signal detection,emg burst detection,optimization procedure,signal to noise ratio,cost function,detectors,standard deviation,pathology,synthetic data | Computer science,Signal-to-noise ratio,Electronic engineering,Minification,Synthetic data,Standard deviation,Detector,Offset (computer science) | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristiano De Marchis | 1 | 12 | 5.89 |
| S Conforto | 2 | 4 | 1.17 |
| G Severini | 3 | 1 | 1.70 |
| M Schmid | 4 | 7 | 2.44 |
| T D'Alessio | 5 | 1 | 1.11 |