Results 71 to 80 of about 55,369 (264)

Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models

IEEE Access
The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various preprocessing and data visualization techniques applied to ...
Sevgi Gokce Aslan, Bulent Yilmaz
doaj   +1 more source

Advancing Dry Electroencephalography With Scalable, Soft, and Transcranial Magnetic Stimulation‐Compatible Ti3C2Tx MXene Electrodes for Research and Clinical‐Grade Applications

Advanced Science, EarlyView.
Dry soft Ti3C2Tx MXene electroencephalography (EEG) electrodes provide low impedance (2.1 ± 1.8 kΩ at 10 Hz), long‐term stability, and enable safe simultaneous EEG and transcranial magnetic stimulation (TMS). Across scalp sites, hair types, and recording paradigms, including steady state visual evoked potentials (SSVEP), clinical EEG, and mobile EEG ...
Sneha Shankar, Jakob Michiels, Ksenija Tasich, Ashley Koluda, Ryan Rich, Brian Erickson, Eugenia Angelopoulos, Francesca Cimino, Daryl Hurwitz, Raghav Garg, Spencer R. Averbeck, Doris Xu, Mariam Josyula, Nina Petillo, James J. Gugger, Kathryn A. Davis, John Medaglia, Flavia Vitale   +17 more
wiley   +1 more source

CochleaSpecNet: An Attention-Based Dual Branch Hybrid CNN-GRU Network for Speech Emotion Recognition Using Cochleagram and Spectrogram

IEEE Access
Being one of the main communication medium, speech contains necessary information about the emotional state of a human. Accurate emotion recognition is crucial for enhancing human-machine interactions, highlighting the importance of a strong Speech ...
Atkia Anika Namey, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan   +3 more
doaj   +1 more source

Multimodal Optical Imaging and Modulation with Simultaneous Electrophysiology Through Smart Dura in Non‐Human Primates

Advanced Science, EarlyView.
This study demonstrates multimodal integration in non‐human primates, combining large‐scale, high‐density electrophysiology using Smart Dura with optical techniques such as multiphoton imaging (MPI), photothrombotic lesioning, optical coherence tomography angiography (OCTA), wide‐field intrinsic signal optical imaging (ISOI), and optogenetics.
Nari Hong, Sergio Montalvo Vargo, Gaku Hatanaka, Zhaoyu Gong, Noah Stanis, Jasmine Zhou, Tiphaine Belloir, Ruikang K. Wang, Wyeth Bair, Maysamreza Chamanzar, Azadeh Yazdan‐Shahmorad   +10 more
wiley   +1 more source

Identification of Elephant Rumbles in Seismic Infrasonic Signals Using Spectrogram-Based Machine Learning

Applied System Innovation
This paper presents several machine learning methods and highlights the most effective one for detecting elephant rumbles in infrasonic seismic signals.
Janitha Vidunath, Chamath Shamal, Ravindu Hiroshan, Udani Gamlath, Chamira U. S. Edussooriya, Sudath R. Munasinghe   +5 more
doaj   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

Advanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source

Determination of Morphologically Characteristic PCG Segments from Spectrogram Image [PDF]

Telfor Journal, 2010
The three-dimensional presentation of phonocardiac signal, simultaneously considering time, amplitude and frequency, allows the determination of morphological characteristic segments in phonocardiogram (PCG), both in short and long sequences.
I. S. Reljin, M. P. Paskaš, A. M. Gavrovska   +2 more
doaj  

On accumulated Cohen's class distributions and mixed-state localization operators

, 2018
Recently we introduced mixed-state localization operators associated to a density operator and a (compact) domain in phase space. We continue the investigations of their eigenvalues and eigenvectors.
Luef, Franz, Skrettingland, Eirik
core  

Visualizing and Quantifying Impact with Mechanochromic Sensing Paints Based on Self‐Assembled Polydiacetylene‐Silk Core‐Shell Vesicles

Advanced Science, EarlyView.
Tracking physical impacts is important in many fields. Self‐assembled microparticles made from polydiacetylene and silk fibroin that change color from blue to red when hit can provide an alternative approach to traditional mechanical transducers, quantitatively visualizing impact with responses ranging from <100 to 770 N.
Marco Lo Presti, Giulia Guidetti, Elisabetta Ruggeri, Terri Lyne Carrington, Fiorenzo G. Omenetto   +4 more
wiley   +1 more source