Advancing Gait Analysis: Integrating Multimodal Neuroimaging and Extended Reality Technologies

Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 313 - 313

Published: March 19, 2025

The analysis of human gait is a cornerstone in diagnosing and monitoring variety neuromuscular orthopedic conditions. Recent technological advancements have paved the way for innovative methodologies that combine multimodal neuroimaging eXtended Reality (XR) technologies to enhance precision applicability analysis. This review explores state-of-the-art solutions an advanced approach, multidisciplinary concept integrates neuroimaging, extended reality technologies, sensor-based methods study locomotion. Several wearable modalities such as functional near-infrared spectroscopy (fNIRS) electroencephalography (EEG), commonly used monitor analyze brain activity during walking explore neural mechanisms underlying motor control, balance, adaptation, were considered. XR including virtual, augmented, mixed reality, enable creation immersive environments analysis, real-time simulation, movement visualization, facilitating comprehensive assessment locomotion its biomechanical dynamics. approach enhances understanding by examining both cerebral aspects, offering insights into brain–musculoskeletal coordination. We highlight potential provide real-time, high-resolution data improved clinical decision-making rehabilitation strategies. Additionally, we address challenges integrating these fusion, computational demands, scalability. concludes proposing future research directions leverage artificial intelligence further optimize imaging applications ultimately driving their translation from laboratory settings practice. synthesis underscores transformative approaches personalized medicine patient outcomes.

Language: Английский

Augmented Reality in Cybersecurity

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 291 - 322

Published: April 11, 2025

As augmented reality (AR) technologies gain widespread adoption in critical infrastructure, their cybersecurity risks require thorough assessment. AR systems process and overlay real-time data, creating vulnerabilities such as adversarial AI manipulations, social engineering attacks, data integrity threats. This chapter examines challenges proposes advanced defense mechanisms. AI-driven anomaly detection enhances threat identification, blockchain ensures integrity, quantum-resistant cryptography safeguards against future quantum Additionally, global collaboration among governments, industries, academia is crucial for establishing standardized security protocols. A multi-layered framework strengthens resilience sensitive domains. Future research must refine intelligence, integrate post-quantum encryption, develop interoperable frameworks. Continuous innovation are essential to securing ecosystems.

Language: Английский