The paper refers to the problem of classification for multiple medical data. The proposed methodology for EEG data processing consists of seven stages and assumes different variations of the Dempster-Shafer technique as a base instrument for data fusion. Attained accuracy is comparable to other more popular algorithms and can be a promising further basis for real-time data classification.
Biloborodova,TetianaSkarha-Bandurov, IlliaZagorodna, NataliaShumova, Larisa
School of Engineering, Computing and Mathematics
Year of publication: 2019Date of RADAR deposit: 2022-07-01