Results 141 to 150 of about 5,286,923 (301)

Automatic recognition of error potentials in a P300-based brain-computer interface

, 2008
An error potential (ErrP) is an innate event-related potential generated when a subject makes a mistake, and, more relevant to brain-computer interface (BCI) applications, when the BCI itself behaves differently from the user intent.
B. Dal Seno, M. Matteucci, VISCONTI, GIANMARIA, MATTEUCCI, MATTEO, G. Visconti, L. Mainardi, DAL SENO, BERNARDO, MAINARDI, LUCA   +7 more
core  

Elastomeric 3D‐Printed Microenvironments Enable Nanonewton Force Measurements in Healthy and Diseased Human Pluripotent Stem Cell‐Derived Neuroepithelial Cells

Advanced Materials, EarlyView.
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena, Lucia Castillo Ransanz, Ruben H. Guis, Giulia Bergamaschi, Nanne J. Paauw, Urs Staufer, Vivi M. Heine, Angelo Accardo   +7 more
wiley   +1 more source

Wearable Morphology‐Adaptive in‐Ear Device With Active Cleansing Capability for Multimodal Health Monitoring

Advanced Materials, EarlyView.
We present SCIENCE, an in‐ear multimodal physiological monitor featuring two key innovations. Water‐triggered morphological expansion (a 2‐mm cylinder to a 9‐mm spindle) achieves conformal adaptation across complex canal geometries. Simultaneously, active biofouling mitigation disrupts cerumen barriers, reducing sensor‐skin impedance by 20%.
Shuyun Zhuo, Zihuan Wu, Anan Zhang, Shideh Kabiri Ameri   +3 more
wiley   +1 more source

Zero-Copy In-Situ Neural Feature Compaction for High-Throughput Closed-Loop Brain-Computer Interfaces

A. Emre Cetin
openalex   +2 more sources

Ethics of brain-computer interface in mental healthcare. [PDF]

Front Hum Neurosci
Chandra A, Ramaprasad A, Rangaswamy M.
europepmc   +1 more source

A Calibration-Efficient 64-Target c-VEP Brain–Computer Interface with Grouped Quinary Relative-Color Modulation and TDCA–MLP Decoding

Xinting Yu a and Yan Bian
openalex   +1 more source

The foundational role of autonomy for brain-computer interfaces [PDF]

Florian Richter
openalex   +1 more source

Conformal Thermoreversible Gelatin‐Based Gel for High‐Fidelity Electrophysiological Recording and Acute Peripheral Nerve Interfacing

Advanced Materials, EarlyView.
A thermoreversible gelatin‐based gel forms a soft, conformal bioelectronic interface on complex biological surfaces. The flowable precursor penetrates hair‐dense regions, solidifies in situ, and maintains low impedance through adaptive contact and hydration retention.
Ruinan Hao, Yong Yuan, Jie Gao, Tong Wang, Jinzhi Du, Feng Tian, Xiaoli Li, Ruirui Qiao, Liqun Zhang, Jiajia Xue   +9 more
wiley   +1 more source

The Dyslexic User's Interface Support Tool (DUIST) - a framework for performance enhancing interface adaptation strategies for dyslexic computer users [PDF]

Due to the nature of the symptoms experienced by dyslexic individuals (e.g. defective visual processing, short term memory deficit and motor control problems) an investigation into support strategies to aid persons suffering from the condition seems ...
Johnson, Mark
core  

Brain-computer interface: an update for the clinicians. [PDF]

Front Hum Neurosci
Jain A, Raveendran S, Nair KPS, Ramakrishnan S.   +3 more
europepmc   +1 more source