Left- and right-hand movements in young infants have different organization

1996 ◽  
Vol 19 ◽  
pp. 631
Author(s):  
Françoise Morange
Author(s):  
A. B. M. Aowlad Hossain ◽  
Md. Wasiur Rahman ◽  
Manjurul Ahsan Riheen

Electroencephalogram (EEG) signals have great importance in the area of brain-computer interface (BCI) which has diverse applications ranging from medicine to entertainment. BCI acquires brain signals, extracts informative features and generates control signals from the knowledge of these features for functioning of external devices. The objective of this work is twofold. Firstly, to extract suitable features related to hand movements and secondly, to discriminate the left and right hand movements signals finding effective classifier. This work is a continuation of our previous study where beta band was found compatible for hand movement analysis. The discrete wavelet transform (DWT) has been used to separate beta band of the EEG signal in order to extract features.  The performance of a probabilistic neural network (PNN) is investigated to find better classifier of left and right hand movements EEG signals and compared with classical back propagation based neural network. The obtained results shows that PNN (99.1%) has better classification rate than the BP (88.9%). The results of this study are expected to be helpful in brain computer interfacing for hand movements related bio-rehabilitation applications.


1998 ◽  
Vol 120 (3) ◽  
pp. 369-376 ◽  
Author(s):  
J. J. Boessenkool ◽  
E.-J. Nijhof ◽  
C. J. Erkelens

2009 ◽  
Author(s):  
Jos J. Adam ◽  
Susan Hoonhorst ◽  
Rick Muskens ◽  
Jay Pratt ◽  
Martin H. Fischer

2021 ◽  
Vol 104 (1) ◽  
Author(s):  
Konstantin N. Lyashchenko ◽  
Victoria A. Knyazeva ◽  
Oleg Yu. Andreev ◽  
Deyang Yu

2021 ◽  
pp. practneurol-2021-003041
Author(s):  
Philippe A Salles ◽  
Alberto J Espay

Epilepsia partialis continua manifests as low-frequency, rhythmic involuntary movements of a focal body part. We report a young man, HIV-positive and with syphilis, who developed right-hand epilepsia partialis continua associated with a small left-sided cortico-subcortical frontal lesion. A pen and paper test provided ‘mechanographic’ data on frequency, amplitude and rhythmicity of the hand movements, helping distinguish it from other causes of low-frequency repetitive hand movements.


Author(s):  
Benjamin Walther-Franks ◽  
Marc Herrlich ◽  
Markus Aust ◽  
Rainer Malaka
Keyword(s):  

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