Results 31 to 40 of about 5,790,223 (251)
Bioengineered Interfaces for Peripheral Nerve Sensory Restoration
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick +4 more
wiley +1 more source
The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell
108109We present a novel typewriter application "Hex-o-Spell" that is specifically tailored to the characteristics of direct brain-to-computer interaction.
Krauledat, M. +6 more
core +1 more source
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen +8 more
wiley +1 more source
BackgroundIn recent years, several autistic1 children and youth have shown interest in Holland Bloorview Kids Rehabilitation Hospital’s clinical brain computer interface (BCI) program.
Susannah Van Damme +4 more
doaj +1 more source
Nanoporous silica nanoparticles incorporated in nanoporous platinum offer the possibility for implant‐associated drug delivery from neuronal electrodes. ABSTRACT Sensorineural hearing loss, resulting from damage to the hair cells of the inner ear, profoundly impairs quality of life.
Mosaieb Habib +10 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Conditional associative learning examined in a paralyzed patient with amyotrophic lateral sclerosis using brain-computer interface technology [PDF]
Background Brain-computer interface methodology based on self-regulation of slow-cortical potentials (SCPs) of the EEG (electroencephalogram) was used to assess conditional associative learning in one severely paralyzed, late-stage ALS patient.
Ghanayim, Nimr +18 more
core +1 more source
Transparent microelectrode arrays enable simultaneous optical and electrical electrophysiology with high spatiotemporal resolution, allowing multimodal observations of dynamic biological systems. Advances in materials and device architectures improve device performance by addressing key trade‐offs between optical transparency, impedance, and ...
Michael Abraham Listyawan +6 more
wiley +1 more source
Integrating single-channel EEG neurofeedback into video game-based digital therapeutics for ADHD
Background Digital therapeutics have emerged as a promising non-pharmacological intervention for children with attention-deficit/hyperactivity disorder (ADHD). Personalized adaptation is key to the success of digital therapeutics.
Chenyu Yan +9 more
doaj +1 more source
BackgroundUpper limb motor dysfunction caused by stroke greatly affects the daily life of patients, significantly reduces their quality of life, and places serious burdens on society.
Weiwei Yang +5 more
doaj +1 more source

