Results 91 to 100 of about 9,707 (246)
Surface ElectroMyoGraphy (sEMG) is widely applied to a variety of applications. Managing the power consumption of battery-constrained sEMG Wireless Body Sensor Networks (WBSN) is an important topic.
Pin-Chang Chen +2 more
doaj +1 more source
Abstract Objective This study was undertaken to develop and validate an artificial intelligence (AI) diagnostic tool using hybrid electroencephalographic (EEG)–video signals for automatic epileptic spasms (ES) detection. Methods This retrospective cohort study with internal cross‐validation and multicenter external validation was conducted from July ...
Lin Wan +15 more
wiley +1 more source
Introducing MOSAIC: A Modular, Open-Source Suite for Assistive Intelligent Control
Modern assistive technologies, including prosthetic limbs, orthotic devices, and rehabilitation robots, are increasingly being driven by biosignal-based control systems.
Hannah Braun +6 more
doaj +1 more source
Biosignal-driven Art: Beyond biofeedback [PDF]
Biosignal monitoring in interactive arts, although present for over forty years, remains a relatively little known field of research within the artistic community as compared to other sensing technologies.
Coghlan, Niall +3 more
core
Abstract Objective Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi‐invasive subscalp implants. There is a pressing need for accurate, non‐invasive methods to detect diverse focal seizures for long‐term, out‐of‐hospital monitoring.
Lauren Swinnen +19 more
wiley +1 more source
Editorial: Sensor technologies and biosignal processing methods to explore the physiological functions of proprioception. [PDF]
Khandoker AH, Nagatomi R, Négyesi J.
europepmc +1 more source
Abstract Background Optimal outcomes from subthalamic nucleus deep brain stimulation (STN‐DBS) for Parkinson's disease (PD) depend on accurate stimulation of an ideal functional target within the dorsolateral STN. Clinical programming is heuristic, and objective methods are needed to improve efficiency and consistency.
Kanae J. Nagao +9 more
wiley +1 more source
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks
The effectiveness of biosignal generation and data augmentation with biosignal generative models based on generative adversarial networks (GANs), which are a type of deep learning technique, was demonstrated in our previous paper.
Harada, Shota +2 more
core
A highly conformal and adhesive dry electrode is developed using a micro‐textured carbon black/PDMS composite. By leveraging spontaneous surface roughness for enhanced mechanical interlocking and integrating a stretchable serpentine interconnector, the device achieves robust skin contact and low impedance.
Sang‐Min Kim +10 more
wiley +1 more source
Biosignal processing methods to explore the effects of side-dominance on patterns of bi- and unilateral standing stability in healthy young adults. [PDF]
Négyesi J +13 more
europepmc +1 more source

