Results 151 to 160 of about 2,082,534 (353)

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  

Laser Welding of Micro-Wire Stent Electrode as a Minimally Invasive Endovascular Neural Interface

Micromachines
Minimally invasive endovascular stent electrodes are an emerging technology in neural engineering, designed to minimize the damage to neural tissue.
Bo Wen, Liang Shen, Xiaoyang Kang
doaj   +1 more source

A Time-Frequency Approach to Feature Extraction for a Brain-Computer Interface with a Comparative Analysis of Performance Measures [PDF]

, 2005
Damien Coyle, Girijesh Prasad, T.M. McGinnity   +2 more
openalex   +1 more source

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

A Multimodal Humidity Adaptive Optical Neuron Based on a MoWS2/VOx Heterojunction for Vision and Respiratory Functions

Advanced Materials, EarlyView.
A multifunctional memristor is demonstrated for in‐memory sensing and computing, leveraging a MoWS₂/VOx heterojunction to enable high ON/OFF ratio up to 10⁸ with ultralow operating voltages of ±0.2 V. This bio‐inspired multimodal design exhibits tunable synaptic behavior across electrical, optical, and humidity stimuli, enabling in situ modulation of ...
Abdul Momin Syed, Dhananjay D. Kumbhar, Hanrui Li, Manoj Kumar Rajbhar, Dayanand Kumar, Pratibha Pal, Nimer Wehbe, Mohamed ben Hassine, Nazek El‐Atab   +8 more
wiley   +1 more source

Upconversion Nanoparticle‐Covalent Organic Framework Core–shell Particles as Therapeutic Microrobots Trackable With Optoacoustic Imaging

Advanced Materials, EarlyView.
Upconversion nanoparticle‐covalent organic framework core–shell particles provide enhanced contrast for optoacoustic imaging by leveraging the optical absorption of upconversion luminescence within the covalent organic framework matrix. Beyond their role as contrast agents, these particles enable customizable therapeutic agent loading and release, as ...
Dong Wook Kim, Paul Wrede, Andrés Rodríguez‐Camargo, Yi Chen, Nihal Olcay Dogan, Chaim Glück, Bettina V. Lotsch, Daniel Razansky, Metin Sitti   +8 more
wiley   +1 more source

An efficient P300-based brain–computer interface for disabled subjects [PDF]

, 2007
Ulrich Hoffmann, Jean-Marc Vésin, Touradj Ebrahimi, Karin Diserens   +3 more
openalex   +1 more source

Visual tracking brain-computer interface. [PDF]

iScience
Summary: Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous ...
Huang C, Shi N, Miao Y, Chen X, Wang Y, Gao X.   +5 more
europepmc   +2 more sources

Flexible 3D Kirigami Probes for In Vitro and In Vivo Neural Applications

Advanced Materials, EarlyView.
A customizable and scalable approach to fabricate flexible 3D kirigami microelectrode arrays (MEAs) featuring up to 128 shanks, including surface and penetrating electrodes designed to interact with the 3D space of neural tissue, is presented. The 3D kirigami MEAs are successfully deployed in several neural applications, both in vitro and in vivo, and ...
Marie Jung, Jamal Abu Shihada, Simon Decke, Lina Koschinski, Peter Severin Graff, Sebastián Maruri Pazmino, Anke Höllig, Henner Koch, Simon Musall, Andreas Offenhäusser, Viviana Rincón Montes   +10 more
wiley   +1 more source

Utilizing Deep Neural Networks for Brain–Computer Interface-Based Prosthesis Control

, 2019
Limb amputations affect a significant portion of the world’s population every year. The necessity for these operations can be associated with related health conditions or a traumatic event.
Noel, Thomas C., Snider, Brian R.
core