Classification of single-trial motor imagery EEG by complexity regularization
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3174-6
Abstract: Brain computer interface based on electroencephalogram is a popular way to enable communication between brain and output devices helping elderly and disabled people and in rehabilitation. In practice, the effectiveness of brain computer interface has… read more here.
Keywords: common spatial; classification; spatial pattern; single trial ... See more keywords
Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals
Sign Up to like & getrecommendations! Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107429
Abstract: Abstract Cardiotocography (CTG) is a screening tool used in daily obstetric practice to determine fetal wellbeing. Its interpretation is generally performed visually by the field experts, and this visual inspection is an error-prone and subjective… read more here.
Keywords: common spatial; machine; fetal hypoxia; machine learning ... See more keywords
Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns
Sign Up to like & getrecommendations! Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105076
Abstract: BACKGROUND AND OBJECTIVE Decoding functional movements from electroencephalographic (EEG) activity for motor disability rehabilitation is essential to develop home-use brain-computer interface systems. In this paper, the classification of five complex functional upper limb movements is… read more here.
Keywords: common spatial; limb; upper limb; pre movement ... See more keywords
AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2023.3243698
Abstract: The present paper introduces a novel method, named AutoEncoder-Filter Bank Common Spatial Patterns (AE-FBCSP), to decode imagined movements from electroencephalography (EEG). AE-FBCSP is an extension of the well-established FBCSP and is based on a global… read more here.
Keywords: autoencoder filter; common spatial; way; bank common ... See more keywords
Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space
Sign Up to like & getrecommendations! Published in 2018 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2018/7957408
Abstract: Brain-Computer Interface (BCI) is a rapidly developing technology that aims to support individuals suffering from various disabilities and, ultimately, improve everyday quality of life. Sensorimotor rhythm-based BCIs have demonstrated remarkable results in controlling virtual or… read more here.
Keywords: common spatial; source; spatial pattern; source space ... See more keywords