Hilbert-transform based predictions of hand movements from EEG measurements

Autor:	Gert Pfurtscheller, Doris Flotzinger, Attila Medl
Rok vydání:	1992
Předmět:	Learning vector quantization medicine.diagnostic_test business.industry Movement (music) Pattern recognition Electroencephalography Signal Hand movements symbols.namesake Eeg data medicine symbols Computer vision Artificial intelligence Hilbert transform business Mathematics Envelope (motion)
Zdroj:	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
DOI:	10.1109/iembs.1992.5761577
Popis:	New effective features, extracted from single trial EEG data measured on the human scalp capable of hand movement prediction are reported. The envelope and the instantaneous main frequency of the filtered (8–12'Hz) EEG signal, calculated by the Hilbert-Transform, are used as features. The EEG responses of right- and left-hand movements are studied. A Learning Vector Quantizer (LVQ) was used to predict the sides of the hand movements. The classification accuracy was about 90 percent.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87f64f2c40cf5fb1cc49f476551c0124 https://doi.org/10.1109/iembs.1992.5761577 Zobrazit plný text záznamu