Results 61 to 70 of about 5,286,923 (301)

An Interventional Brain-Computer Interface for Long-Term EEG Collection and Motion Classification of a Quadruped Mammal

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Brain-computer interfaces (BCI) acquire electroencephalogram (EEG) signals to effectively address postoperative motor dysfunction in stroke patients by discerning their motor intentions during significant movements.
Sining Li, Gan Liu, Fan Feng, Ziqing Chang, Wenyu Li, Feng Duan   +5 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Detection of intention level in response to task difficulty from EEG signals [PDF]

, 2013
We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Elif Hocaoglu, Çetin, Müjdat, Volkan Patoglu, Patoğlu, Volkan, Mujdat Cetin, Koyaş, Ela, Hocaoğlu, Elif, Eia Koyas   +7 more
core   +1 more source

Brain-Computer Music Interface for Music Expression [PDF]

, 2020
Active music listening is a way of listening to music through active interactions. In this paper we present an expressive brain-computer interactive music system for active music listening, which allows listeners to manipulate expressive parameters ...
Giraldo, Sergio, Ramirez, Rafael, Vamvakousis, Zacharias   +2 more
core   +1 more source

Novel and optimized mouse behavior enabled by fully autonomous HABITS: Home-cage assisted behavioral innovation and testing system

eLife
Mice are among the most prevalent animal models used in neuroscience, benefiting from the extensive physiological, imaging, and genetic tools available to study their brain.
Bowen Yu, Penghai Li, Haoze Xu, Yueming Wang, Kedi Xu, Yaoyao Hao   +5 more
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition

Brain Research Bulletin
Currently, most models rarely consider the negative transfer problem in the research field of cross-subject EEG emotion recognition. To solve this problem, this paper proposes a semi-supervised domain adaptive algorithm based on few labeled samples of ...
Rui Zhang, Huifeng Guo, Zongxin Xu, Yuxia Hu, Mingming Chen, Lipeng Zhang   +5 more
doaj   +1 more source

Sensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeleton

Frontiers in Bioengineering and Biotechnology, 2020
Brain-machine interfaces (BMIs) can improve the control of assistance mobility devices making its use more intuitive and natural. In the case of an exoskeleton, they can also help rehabilitation therapies due to the reinforcement of neuro-plasticity ...
Mario Ortiz, Mario Ortiz, Laura Ferrero, Eduardo Iáñez, José M. Azorín, José L. Contreras-Vidal   +5 more
doaj   +1 more source

Enhanced Ultrasound Transmission Through Aberration Layers Using Space‐Coiling Acoustic Metamaterials

Advanced Engineering Materials, EarlyView.
Enhancing ultrasound transmission through an aberration layer exhibiting mismatched impedance with the surrounding medium possesses great implications in imaging and treatment. In this study, we show that a space‐coiling acoustic metamaterial with judiciously tailored structural profile can help improve impedance matching.
Maral Ghanami, Hengzhe Ren, Erqian Dong, Ashkan Ghanbarzadeh‐Dagheyan, Chen Shen   +4 more
wiley   +1 more source

Detecting mental states by machine learning techniques: The Berlin Brain-computer interface

, 2022
S.113-135The Berlin Brain-Computer Interface (BBCI) uses a machine learning approach to extract user-specific patterns from high-dimensional EEG-features optimized for revealing the user's mental state. Classical BCI applications are brain actuated tools
Blankertz, B., Fazli, S., Sannelli, C., Popescu, F., Tangermann, M., Dickhaus, T., Curio, G., Vidaurre, C., Danóczy, M., Müller, K.-R.   +9 more
core   +1 more source