A study on the effect of psychophysiological signal features on classification methods
Sign Up to like & getrecommendations! Published in 2017 at "Measurement"
DOI: 10.1016/j.measurement.2017.01.019
Abstract: Abstract The most important factor affecting the performance of a BCI (Brain Computer Interface) systems, is classification feature set. Choosing the right features to increase the success of classification is the key point. In BCI… read more here.
Keywords: classification; signal features; psychophysiological signal; effect psychophysiological ... See more keywords
Velocity-Based Signal Features for the Assessment of Parkinsonian Handwriting
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2902936
Abstract: This letter investigates different velocity-based signal processing techniques to the aim of Parkinson's disease classification through handwriting. It is showed that combining new velocity-based features with classic features improves state-of-the-art performance on the PaHaW dataset. read more here.
Keywords: based signal; velocity; velocity based; assessment parkinsonian ... See more keywords