CLASSIFICATION OF MOTOR FUNCTIONS FROM ELECTROENCEPHALOGRAM (EEG) SIGNALS BASED ON AN INTEGRATED METHOD COMPRISED OF COMMON SPATIAL PATTERN AND WAVELET TRANSFORM FRAMEWORK

In this work, an algorithm for the classification of six motor functions from an electroencephalogram (EEG) signal that combines a common spatial pattern (CSP) filter and a continuous wavelet transform (CWT), is investigated.The EEG data comprise six grasp-and-lift events, which are used to investigate the potential of using EEG as input signals wi

Tuberous sclerosis (Bourneville disease) is a genetic disease with an amount number of multiorganically development of hamartomas (benign tumors) that are slowly progressing, increasing in size and violating the functions of these organs.Clinical presentation of tuberous sclerosis depends on a number, localization and the size of Hamartomas.Neverth

Theacquisition of time knowledge involves learning how to read clocks, estimatetime, read dates and learn about temporal sequences.Evidence suggests thatmany of these competencies are acquired by 10 years of age although not allchildren may follow this developmental path.The main purpose of this synovex one grass study wasto collect normative data

Watersheds has essential functions in human life and other living things that include hydrological and ecological functions.However, the number of critical watershed conditions are increasing and resulting in the degradation of the watershed function.The number of critical watersheds according to the 2009 forestry ministerial decree is 108 watershe

Bao Zang, Jianqiang Zhao, Chen Chen Department of Thoracic Surgery, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an 223300, Jiangsu, People’s Republic here of ChinaCorrespondence: Bao ZangDepartment of Thoracic Surgery, The Affiliated Huai’an No.1 People’s Hospital of Nanjing