About this Research Topic
Recent strides in machine learning, deep learning, and explainable AI have opened doors to unprecedented opportunities in understanding the complexity of neurological behaviors. From deciphering intricate patterns to facilitating early diagnosis and personalized treatment, these technologies offer immense potential in neurology and cognitive sciences.
Simultaneously, the evolution of biosensing methods such as EEG, EMG, ECG, fNIRS, and others has revolutionized physiological monitoring and detection of human neuroscience behaviors, paving the way for intelligent healthcare solutions and human-computer interfaces. However, integrating machine learning with biosensing data poses unique challenges, including explainable AI models, neurobehavior modeling, data privacy, and ethical considerations.
This Research Topic invites contributions from researchers across academia, industry, and healthcare sectors to explore novel approaches at the convergence of machine learning and biosensing for understanding neurological disorders, human neuroscience behaviors and advancing smart healthcare applications. Topics of interest include, but are not limited to:
- Development of machine learning models for neurological behavior analysis using biosensing data
- Integration of multiple physiological modalities for real-time monitoring and diagnosis
- Explainable AI techniques for interpreting neurological behaviors and enhancing model transparency
- Ethical considerations and privacy-preserving techniques in machine learning applications for healthcare
- Implementation of IoT infrastructure and cybersecurity measures to ensure data integrity and confidentiality
- Utilization of encryption methods to safeguard sensitive biosensing data transmitted over IoT networks
- Case studies showcasing practical implementations and success stories in smart biosensing and neurological behavior analysis
Join us in this endeavor to unlock new frontiers in neuroinformatics, neuroscience, and smart healthcare innovation and pave the way for a smarter, more personalized approach to understanding and managing neurological conditions. We welcome authors to submit original research articles, reviews, method articles, and case studies that contribute to the depth and breadth of this innovative and exciting field.
Keywords: Neurobehavior Analysis, Biosensing Technology, Explainable AI, EEG/EMG Monitoring, Smart Healthcare
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.