Results 51 to 60 of about 64,623 (240)

PEDOT‐Based Eutectogel Electrode Arrays for Enhanced High‐Resolution Electrogastrography: Fabrication, Stability, and Wearable Performance

Advanced Functional Materials, EarlyView.
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter, Luke Gatecliff, Xudong Tao, Ruben Ruiz‐Mateos Serrano, Amy T. Jin, Matias L. Picchio, Daniele Mantione, Antonio Dominguez‐Alfaro, George G. Malliaras   +8 more
wiley   +1 more source

Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia

Sensors, 2019
The electroencephalogram (EEG) can reflect brain activity and contains abundant information of different anesthetic states of the brain. It has been widely used for monitoring depth of anesthesia (DoA).
Yue Gu, Zhenhu Liang, Satoshi Hagihira
doaj   +1 more source

Biomaterials‐Based Hydrogel with Superior Bio‐Mimetic Ionic Conductivity and Tissue‐Matching Softness for Bioelectronics

Advanced Functional Materials, EarlyView.
By mimicking the ion‐accelerating effect of ion channel receptors in neuron membranes, a biomaterials‐based ionic hydrogel (BIH) is developed, which offers a high ionic conductivity of 7.04 S m−1, outperforming conventional chitosan, cellulose, agarose, starch, and gelatin based ionic hydrogels.
Baojin Chen, Renjie Yu, Jiaqi Wang, Yunxiang Feng, Yujie Zhang, Yanchao Mao, Chongxin Shan, Xudong Wang   +7 more
wiley   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Diagnosis of Schizophrenia Using Feature Extraction from EEG Signals Based on Markov Transition Fields and Deep Learning

Biomimetics
Diagnosing schizophrenia using Electroencephalograph (EEG) signals is a challenging task due to the subtle and overlapping differences between patients and healthy individuals.
Alka Jalan, Deepti Mishra, Marisha, Manjari Gupta   +3 more
doaj   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

EEG-Based User Identification using Machine Learning and Deep Learning Approaches

Current Directions in Biomedical Engineering
In recent years, Electroencephalogram (EEG) based user authentication systems have gained significant interest as an innovative approach for identity verification.
Sushma S., Venkat S., Mohanavelu K., Fredo Jac A. R., Bobby T. Christy   +4 more
doaj   +1 more source

Feasibility and acceptability of magnetic resonance imaging and electroencephalography for child neurodevelopmental research in rural Ethiopia

Frontiers in Public Health
BackgroundMagnetic resonance imaging (MRI) and electroencephalography (EEG) are valuable tools for studying neuroanatomical and electrophysiological features of early brain development.
Firehiwot Workneh, Theresa I. Chin, Theresa I. Chin, Theresa I. Chin, Kalkidan Yibeltal, Krysten North, Krysten North, Nebiyou Fasil, Workagegnhu Tarekegn, Betelhem Haimanot Abate, Sarem Mulugeta, Gellila Asmamaw, Atsede Teklehaimanot, Sonya V. Troller-Renfree, Sarah K. G. Jensen, Sarah K. G. Jensen, Moriah E. Thomason, Terrie Inder, Charles A. Nelson, Charles A. Nelson, Alemayehu Worku, Anne CC Lee, Anne CC Lee, Anne CC Lee, Yemane Berhane   +24 more
doaj   +1 more source

Passive Shape‐Adaptive Fluidic Interface for Enhanced Skin‐Sensor Coupling in Wearable Devices

Advanced Materials Technologies, EarlyView.
This study presents a passive fluidic interface for wearable biosensors that adapts to static and dynamic body shape changes to maintain consistent skin contact. Flexible, fluid‐filled pouches redistribute pressure from high‐load areas to regions requiring improved contact, enhancing signal quality and comfort in a compact, low‐energy design for ...
Natalia Sanchez‐Tamayo, Andrew Akerson, Ehsan Hajiesmaili, Tianshu Liu, Ryan Stull, Jonathan Stewart, Amirhossein Amini   +6 more
wiley   +1 more source