Differential Involvement of EEG Oscillatory Components in Sameness versus Spatial-Relation Visual Reasoning Tasks [PDF]
, 2020 Andrea Alamia +11 more
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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 +5 more
wiley +1 more source
Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group [PDF]
Shubhajit Roy Chowdhury +2 more
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Continuous EEG monitoring after brain tumor surgery [PDF]
, 2019 Kristin Elf +5 more
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Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
Advanced Intelligent Systems, EarlyView.A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
Auditory Stimulus Information Entropy Modulates Inter-Brain Synchronization: Evidence from Wireless EEG Hyperscanning [PDF]
Jianchun Liao +8 more
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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 +2 more
wiley +1 more source
Coupling of gamma band activity to sleep spindle oscillations – a combined EEG/MEG study
, 2020 Frederik D. Weber +5 more
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A Literature Survey on Potential Private User Information Leakage in Metaverse Applications
Advanced Intelligent Systems, EarlyView.This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley +1 more source
Single-channel EEG completion using Cascade Transformer [PDF]
, 2022 Chao Zhang, Siqi Han, Milin Zhang
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