Advanced Gait Analysis for Dynamic Foot Assessment

Gait analysis is an interdisciplinary combining the study of biomechanics, kinesiology as well as the use of technology in analyzing human movement. The analysis is done in three steps: Information gathering through sensors, cameras and force plates for data collection; processing the data through various software algorithms; and clinically interpreting the analyzed data. It is most commonly used in diagnosing gait abnormalities in neurological disorders such as Parkinson's, in athlete’s performance enhancement programs, or in measuring the effectiveness of orthopedic treatments. For example, in a patient with hip osteoarthritis, gait analysis may show that there is a compensatory pelvic hike leading to excessive lumbar strain. Treatment approaches might include pelvic-aligning custom insoles and physical therapy directed towards the gluteal muscles. The most sophisticated systems for gait analysis use artificial intelligence for pattern recognition which improves the accuracy of diagnostics and reduces the time needed for analysis by 40%.