Results 111 to 120 of about 100,182 (299)
Passive Shape‐Adaptive Fluidic Interface for Enhanced Skin‐Sensor Coupling in Wearable Devices
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 +6 more
wiley +1 more source
Metabifurcation analysis of a mean field model of the cortex
Mean field models (MFMs) of cortical tissue incorporate salient features of neural masses to model activity at the population level. One of the common aspects of MFM descriptions is the presence of a high dimensional parameter space capturing ...
Bojak, Ingo +3 more
core +2 more sources
Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
Review of Authentication Systems based on Electroencephalogram
Traditional authentication methods, such as the use of passwords and fingerprints, are susceptible to the risks of theft, loss, and forgery. However, an innovative and secure alternative exists in the form of electroencephalogram (EEG)-based ...
asmaa Basher Hamza, rajaa K. Hasoun
doaj +1 more source
Adaptive Carbon Nanotube Patches for Versatile Electronic Textiles and Wind‐Harvesting Applications
An adhesion‐tunable electronic textile patch based on a carbon nanotube/paraffin composite is presented, enabling direct, adhesive‐free integration with fabrics. Pressure‐responsive bonding allows reversible or permanent attachment on demand.
Seokwon Joo +4 more
wiley +1 more source
Emotion Classifications in Electroencephalogram (EEG) Signals
When students are performing bad in their academics or sports activities, there are underlying causes as to why they are unable to concentrate during class and training. This paper describes the method used to obtain, identify and classify emotions from EEG signals captured from students.
Venothanee Sundra Mohan* +5 more
openaire +1 more source
Anatomical and functional brain approach along short abrupt changes in G-levels [PDF]
To conduct experiments under abrupt changes in g-levels, a single-engine aerobatic aircraft has been used, providing 6-8 seconds of reduced gravity, preceded and followed by 5-7 seconds of hypergravity periods.
Dubert, D. +6 more
core
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Analyzing Thought-related Electroencephalographic Data Using Nonlinear Techniques [PDF]
A unique method is presented for collecting, studying and interpreting thought-related electroencephalogram (EEG) data. The use of a chaos based nonlinear analysis technique is shown to be promising in providing insight into relating conscious thought to
Skidmore, Trent
core +1 more source

