Gait Analysis: Health, Performance, and Future Innovations
*Corresponding Author:Received Date: Sep 01, 2025 / Accepted Date: Sep 29, 2025 / Published Date: Sep 29, 2025
Citation: Alvarez DT (2025) Gait Analysis: Health, Performance, and Future Innovations. jnp 15: 869.DOI: 10.4172/2165-7025.1000869
Copyright: © 2025 Dr. Tomas Alvarez This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Gait analysis is undergoing significant transformation driven by wearable sensors, machine learning, and digital technologies. These advancements enable objective, accessible, and personalized assessments for diagnosing neuromusculoskeletal disorders, monitoring neurological conditions, guiding rehabilitation post-injury, and addressing age-related mobility changes. Innovations like remote monitoring and virtual reality enhance patient engagement and recovery. Digital twins offer predictive capabilities in biomechanics and personalized medicine. Research also focuses on sport-specific biomechanics and footwear influence. Ultimately, these developments aim to improve clinical decision-making, optimize rehabilitation, and enhance overall quality of life.
