Results 91 to 100 of about 3,887,920 (279)
Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: A comparative study [PDF]
Deficits in the ability to process emotions characterize several neuropsychiatric disorders and are traits of Parkinson's disease (PD), and there is need for a method of quantifying emotion, which is currently performed by clinical diagnosis ...
Mohamad, Khairiyah +7 more
core +1 more source
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 +3 more
wiley +1 more source
Understanding perception of active noise control system through multichannel EEG analysis
In this Letter, a method is proposed to investigate the effect of noise with and without active noise control (ANC) on multichannel electroencephalogram (EEG) signal.
Sangeeta Bagha +5 more
doaj +1 more source
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are
Chambers, J. +3 more
core +1 more source
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
With the increasing research of deep learning in the EEG field, it becomes more and more important to fully extract the characteristics of EEG signals. Traditional EEG signal classification prediction neither considers the topological structure between ...
Zhejun Kuang +4 more
doaj +1 more source
A novel selective laser sintering and graphitization (SLSG) 3D printing technology enables unibody fabrication of compacted insulating structures and conductive circuits in fluidic‐integrated wearable electronics through adaptive photonic modulation.
Li Zhang, Wing Cheung Mak
wiley +1 more source
Common spatial pattern (CSP) has been an effective technique for feature extraction in electroencephalography (EEG) based brain computer interfaces (BCIs).
Shiu Kumar, Alok Sharma, T. Tsunoda
semanticscholar +1 more source
EEG–fMRI of idiopathic and secondarily generalized epilepsies [PDF]
We used simultaneous EEG and functional MRI (EEG–fMRI) to study generalized spike wave activity (GSW) in idiopathic and secondary generalized epilepsy (SGE).
Lemieux, L. +15 more
core +1 more source
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source

