Results 101 to 110 of about 5,286,923 (301)

A wearable brain-computer interface controlled robot [PDF]

, 2016
Brain-computer interface (BCI) controlled systems hold great potential for clinical applications especially in assisting neurologically disabled patients to improve their communication processes [1].
Azhar, H., Badicioiu, A., Barton, T.
core  

Bioinspired Hydrogels with Broadly Programmable Mechanics for Soft‐Tissue Interfaces

Advanced Functional Materials, EarlyView.
Sea cucumber‐inspired gelatin hydrogels are formed by directional freezing and mechanically programmed through subsequent ionic treatment. Multiscale characterization and modeling link ion‐regulated chain interactions to directional load transfer within the aligned hierarchical architecture.
Youchao Teng, TzuChun Chung, Katpady Akhil Tantry, Siyu Wu, Jing Tian, Yunqi Cui, Lanyu Li, Yongzan Zhou, Zhilei Zhang, Zhe Su, Gaili Cao, Kun‐Wei Yeh, Ruipeng Li, Xianghui Xiao, Adam F. G. Leontowich, Yuan‐Yu Hsueh, Zhao Pan, Kam C. Tam, Badri Narayanan, Song Li, Yimin. A. Wu   +20 more
wiley   +1 more source

Introduction to brain-computer interface: research trends and applications

A broader review of the artificial intelligence (AI) and sensing methods used in brain–computer interfaces (BCIs) is given in this chapter. The brain and external equipment, such as computers and electrical gadgets, can communicate via the BCIs.
Subasi, Abdulhamit, Mian Qaisar, Saeed
core   +1 more source

Decoding sensorimotor rhythms during robotic-assisted treadmill walking for brain computer interface (BCI) applications

, 2015
Locomotor malfunction represents a major problem in some neurological disorders like stroke and spinal cord injury. Robot-assisted walking devices have been used during rehabilitation of patients with these ailments for regaining and improving walking ...
Garcia Cossio, Dr. E.G.C. (Donders Institute for Brain, Cognition and Behavior)
core   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

Automatic Feature Selection for Sensorimotor Rhythms Brain-Computer Interface Fusing Expert and Data-Driven Knowledge

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Early brain-computer interface (BCI) systems were mainly based on prior neurophysiological knowledge coupled with feedback training, while state-of-the-art interfaces rely on data-driven, machine learning (ML)-oriented methods.
Mushfika Sultana, Serafeim Perdikis
doaj   +1 more source

Engineered Microvascular Model of the Blood–Brain–Tumor Barrier Reveals Endothelial Remodeling in Diffuse Midline Glioma

Advanced Healthcare Materials, EarlyView.
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett, Yann S. Vanrobaeys, Tessy Teboh, Zakiya Smith, Anderson Scott, Cynthia Hajal, Paula T. Hammond, Joelle P. Straehla   +7 more
wiley   +1 more source

Preprocessing and feature extraction techniques for brain-computer interface

In order to improve communication and interaction between humans and computers, the signal processing and artificial intelligence (AI) are vital tools.
Subasi, Abdulhamit, Mian Qaisar, Saeed
core   +1 more source

Connectome-constrained ligand-receptor interaction analysis for understanding brain network communication

Nature Communications
Both diffusion magnetic resonance imaging and transcriptomic technologies have provided unprecedented opportunities to dissect brain network communication, offering insights from structural connectivity and signaling molecules separately.
Zongchang Du, Congying Chu, Weiyang Shi, Na Luo, Yuheng Lu, Haiyan Wang, Bokai Zhao, Hui Xiong, Zhengyi Yang, Tianzi Jiang   +9 more
doaj   +1 more source

From Cell‐Derived Vesicles to Hybrid Nanovectors: Biological Membranes as Functional Blueprints for Gene Delivery

Advanced Healthcare Materials, EarlyView.
Biologically derived and hybrid nonviral nanovectors are examined as distinct but convergent design approaches. Integrating synthetic components with biologically functionalized membranes allows efficient interactions with complex cellular environments.
Clara Baldari, Claudia Leone, Gabriella Leccese, Claudia De Stradis, Alessandra Invidia, Concetta Quintarelli, Biagio De Angelis, Franco Locatelli, Giuseppe Gigli, Gabriele Maiorano, Ilaria Elena Palamà   +10 more
wiley   +1 more source