Results 71 to 80 of about 180,531 (324)

Understanding racial bias through electroencephalography

BMC Psychology, 2023
Research on racial bias in social and cognitive psychology has focused on automatic cognitive processes such as categorisation or stereotyping. Neuroimaging has revealed differences in the neural circuit when processing social information about one’s own
Mirella Manfredi, William E. Comfort, Lucas M. Marques, Gabriel G. Rego, Julia H. Egito, Ruth L. Romero, Paulo S. Boggio   +6 more
doaj   +1 more source

Early changes in alpha band power and DMN BOLD activity in Alzheimer's disease: a simultaneous resting state EEG-fMRI study [PDF]

, 2017
Simultaneous resting state functional magnetic resonance imaging (rsfMRI)-resting state electroencephalography (rsEEG) studies in healthy adults showed robust positive associations of signal power in the alpha band with BOLD signal in the thalamus, and ...
Babiloni, Claudio, Berger, Christoph, Brueggen, Katharina, Fiala, Carmen, Ochmann, Sina, Teipel, Stefan J.   +5 more
core   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

International Journal of Distributed Sensor Networks, 2018
Wearable electroencephalography systems of out-of-hospital can both provide complementary recordings and offer several benefits over long-term monitoring. However, several limitations were present in these new-born systems, for example, uncomfortable for
Qing Zhang, Pingping Wang, Yan Liu, Bo Peng, Yufu Zhou, Zhiyong Zhou, Baotong Tong, Bensheng Qiu, Yishan Zheng, Yakang Dai   +9 more
doaj   +1 more source

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

Advanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo, Francesca Borghi, Tommaso Angì, Marta Maschietto, Stefano Vassanelli, Paolo Milani   +5 more
wiley   +1 more source

Statistical mechanics of neocortical interactions: large-scale EEG influences on molecular processes [PDF]

, 2016
Recent calculations further supports the premise that large-scale synchronous firings of neurons may affect molecular processes. The context is scalp electroencephalography (EEG) during short-term memory (STM) tasks. The mechanism considered is $\mathbf{\
Ingber, Lester
core   +2 more sources

Liveness‐Verified Dynamic Time Warping‐Based Authentication and Hybrid Adaptive Neuro‐Fuzzy Inference System Identification for Single‐Channel Diaphragmatic Breathing Surface Electromyography Biometrics

Advanced Intelligent Systems, EarlyView.
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan, Kutlucan Gorur, Feyzullah Temurtas   +2 more
wiley   +1 more source

Inverse Modeling for MEG/EEG data

, 2017
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the mathematics of the forward problem, we discuss standard and recently ...
A Doucet, A Galka, A Gramfort, A Pascarella, A Sorrentino, A Sorrentino, A Sorrentino, C Campi, C Lamus, CJ Long, D Calvetti, DK Nguyen, E Somersalo, F Cardinale, F Pasquale de, F-H Lin, G Dassios, GR Barnes, H Murakami, JC Mosher, JC Mosher, JM Antelis, JR Wolpaw, K Sekihara, K Uutela, K Uutela, L Miao, L Rabiner, M Hämäläinen, M Kowalski, MS Hämäläinen, PJ Green, R Bouet, RG Andrzejak, S Pursiainen, S Sommariva, SC Jun, TS Tian, V Vivaldi, W Ou, X Chen   +40 more
core   +1 more source

A Soft Pneumatic Exosuit to Assist Pronosupination in Individuals with Spinal Cord Injury

Advanced Intelligent Systems, EarlyView.
A lightweight (30 g) textile‐based pneumatic exosuit assists forearm pronosupination in individuals with cervical spinal cord injury. The soft robot enhances forearm range of motion and reduces muscle effort without hindering hand function. Tested in 10 patients during an interactive exergame, it improves motor performance and demonstrates promise for ...
Roberto Ferroni, Gaetano D’Avola, Daniele Filippo Mauceri, Chiara Pau, Giorgia Sciarrone, Gabriele Righi, Jacopo Carpaneto, Marta Gandolla, Giulio Del Popolo, Silvestro Micera, Tommaso Proietti   +10 more
wiley   +1 more source

Is it necessary to measure all brain regions for the assessment of PAF? [PDF]

, 2017
From decades of research, electroencephalography (EEG) has been proved as a potential non-invasive medical technique to measure the electrophysiological activities of brain.
Bhatia, Divya, Rathee, Sushma, Singh, Rajbir   +2 more
core