Výsledky vyhledávání - "Special Issue: Current Trends in Cognitive Science and Brain Computing Research and Applications"

Motor imagery BCI classification based on novel two-dimensional modelling in empirical wavelet transform Autor Sadiq, Muhammad Tariq, Yu, Xiaojun, Yuan, Zhaohui, Aziz, Muhammad Zulkifal

“…Brain complexity and non-stationary nature of electroencephalography (EEG) signal make considerable challenges for the accurate identification of different…”
Získat plný text

Classification of emotions from EEG signals using time-order representation based on the S-transform and convolutional neural network Autor Khare, S.K, Nishad, A, Upadhyay, A, Bajaj, V

“…Emotions are the most powerful information source to study the cognition, behaviour, and medical conditions of a person. Accurate identification of emotions…”
Získat plný text

Emotion recognition with deep learning using GAMEEMO data set Autor Alakus, T. B, Turkoglu, I

“…Emotion recognition is actively used in brain–computer interface, health care, security, e-commerce, education and entertainment applications to increase and…”
Získat plný text

Diagnosis of autism spectrum disorder from EEG using a time–frequency spectrogram image-based approach Autor Tawhid, M.N.A, Siuly, S, Wang, H

“…Autism is a type of neurodevelopment disorder in which individuals often have difficulties in social relationship, communication, expressing and controlling…”
Získat plný text

Brain MRI-based Wilson disease tissue classification: an optimised deep transfer learning approach Autor Saba, L, Agarwal, M, Sanagala, S.S, Gupta, S.K, Sinha, G.R, Johri, A.M, Khanna, N.N, Mavrogeni, S, Laird, J.R, Pareek, G, Miner, M, Sfikakis, P.P, Protogerou, A, Viswanathan, V, Kitas, G.D, Suri, J.S

“…Wilson's disease (WD) is caused by the excessive accumulation of copper in the brain and liver, leading to death if not diagnosed early. WD shows its…”
Získat plný text

Letter of Thanks

Získat plný text

Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform Autor Nishad, A, Upadhyay, A, Ravi Shankar Reddy, G, Bajaj, V

“…The unnatural activities of brain due to seizure events are analysed by electroencephalogram (EEG) signals which are captured from the brain. In this work, a…”
Získat plný text

Guest Editorial: Current Trends in Cognitive Science and Brain Computing Research and Applications Autor Bajaj, Varun, Sinha, G R, Siuly, Siuly, Şengur, Abdulkadir

Získat plný text

Efficient approach for EEG-based emotion recognition Autor Şengür, D, Siuly, S

“…Identification of human emotion involving electroencephalogram (EEG) signals has become an emerging field in health monitoring application as EEG signals can…”
Získat plný text

PROMETHEE-based hybrid feature selection technique for high-dimensional biomedical data: application to Parkinson's disease classification Autor Chaudhuri, A, Sahu, T.P

“…Biomedical data are being collected for fields like cancer diagnosis and prognosis, brain signals, speech signals, genetic engineering to name a few. These…”
Získat plný text

Protection of BCI system via reversible watermarking of EEG signal Autor Bhalerao, S, Ansari, I.A, Kumar, A

“…The brain–computer interface (BCI) system is doing wonders for people suffering from restricted physical abilities due to accidents or diseases. BCI requires…”
Získat plný text

Realising transfer learning through convolutional neural network and support vector machine for mental task classification Autor Singh, D, Singh, S

“…Electroencephalogram (EEG) measures brainwaves that have been the widely used modality for brain–computer interface (BCI) applications. EEG signal with machine…”
Získat plný text

Focusing the temporally interfering electric fields in non-invasive deep brain stimulation Autor Honarbakhsh, B, Mohammadzadeh, M

“…A new design of non-invasive deep bring stimulation system is presented that works based on temporally interfering (TI) electrical fields and high-spatial…”
Získat plný text

Classification of working memory loads using hybrid EEG and fNIRS in machine learning paradigm Autor Mandal, S, Singh, B.K, Thakur, K

“…Single modality brain–computer interface (BCI) systems often mislabel the electroencephalography (EEG) signs as a command, even though the participant is not…”
Získat plný text

Analysis of EEG signal for seizure detection based on WPT Autor Arı, A

“…Electroencephalogram (EEG) is a diagnostic method that provides information about the functioning of the brain. EEG can be used to diagnose the abnormally…”
Získat plný text

Brain–computer interface-based single trial P300 detection for home environment application Autor Shukla, P, Chaurasiya, R, Verma, S

“…P300 speller-based brain–computer interface (BCI) is an immediate correspondence between the human brain and computer that depends on the translation of mind…”
Získat plný text

Automatic drowsiness detection using electroencephalogram signal Autor Dutta, A, Kour, S, Taran, S

“…Drowsiness refers to the state of being sleepy or the state of minimal concentration. It is characterised by a decrease in a person's memory capacity and brain…”
Získat plný text

Prefrontal haemodynamics based classification of inter-individual working memory difference Autor De, A

“…This Letter illustrates prefrontal haemodynamics as a neurovascular basis of inter-personal working memory differences. A functional near-infrared spectroscopy…”
Získat plný text

Approach based on wavelet packet transform and 1D-RMLBP for drowsiness detection using EEG Autor Alçin, Ö.F

“…Early drowsiness detection may be crucial for the vehicle alertness system. Towards this, wearable technology, camera-based biophysical signals like…”
Získat plný text

Robust spatial information based tumour detection for brain MR images Autor Maharana, A, Patra, D, Pradhan, S

“…Multimodal brain MR image analysis is still a challenging research area due to its complex intensity distribution and sensitivity towards the noise. Tumourous…”
Získat plný text