Portable Neurotechnology and Brain-Computer Interfaces for Bedside Diagnosis, Field Deployment, and Neurorehabilitation: Advancing Clinical Neuroergonomics
Portable Neurotechnology and Brain-Computer Interfaces for Bedside Diagnosis, Field Deployment, and Neurorehabilitation: Advancing Clinical Neuroergonomics
Traditional neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), have significantly advanced brain diagnostics by offering unparalleled insights into brain function. However, the complexity, cost, and immobility associated with these methods restrict their application in bedside diagnostics, field assessments, and therapeutic neurorehabilitation. This Research Topic aims to explore how portable neurotechnologies—including electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS)-based Brain-Computer Interfaces (BCIs), and supplementary sensors such as electrocardiography (ECG) and eye tracking - can offer real-time, cost-effective, and non-invasive alternatives for brain measurement and diagnosis in various settings.
We welcome submissions that present novel approaches integrating advanced signal processing techniques, artificial intelligence (AI), and machine learning (ML) algorithms to enhance the precision, usability, and effectiveness of portable neurotechnologies in dynamic, real-world conditions. Papers addressing applications in everyday life, such as remote diagnosis and home-based neurotraining, as well as specialized contexts like military cognitive-performance monitoring or sports-related concussion assessment, are particularly encouraged. These portable technologies hold significant promise for expanding brain health assessments beyond traditional clinical environments.
Additionally, we encourage contributions exploring the development of low-cost, adaptable, and accessible neurodiagnostic tools capable of complementing or potentially replacing conventional neuroimaging equipment. Such devices should be intuitive and user-friendly, enabling operation by non-specialist personnel, including nurses, first responders, and patients themselves. Papers investigating innovative therapeutic approaches leveraging BCIs for neurostimulation or neurofeedback treatments are also highly encouraged.
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Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
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