| Artificial intelligence and Foot Insole in Gait Biomechanics: Scoping Review |
| Paper ID : 1058-ISCSR3 (R2) |
| Authors |
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Mohamed Aladdin *1, Abdelhameed Mohamed1, Manar Fared2, Marwa Elkawy3 1student of physical therapy at sphinxix university Assuit 2student of physical therapy at sphinxis university Assuit 3Assistant lecturer @ pediatrics department, faculty of physical therapy, sphinx university |
| Abstract |
| Background Smart insoles are gaining attention in both medical and non-medical fields due to their real-time kinematic data collection. . The integration of artificial intelligence has increased its accuracy and usefulness. Purpose This study explores the effectiveness of smart insoles and their evolution, from early smart insoles to those developed with AI, and assesses the role of AI in enhancing their accuracy and efficiency. Methods The systematic review was conducted in March of 25. Sites such as pilot study were searched for articles dealing with smart sole technologies in terms of design, sensors, health monitoring, and user experience. Inclusion and exclusion criteria, data extraction using standardized methods, and removal of duplicates were identified. Inclusion criteria: Studies published between 2015 and 2024, focus on smart insoles in the biomechanics of walking, integration of artificial intelligence into devices, age of participants between 20-55 years, conditions such as diabetic foot and Parkinson's disease, and Healthy people who can walk on their own. Exclusion criteria: Studies published outside the specified scope, age of participants below or above the specified threshold, and unhealthy people with balance issues Results Ten results were included. Out of 18 after excluding results with exclusion criteria such as age, health issues of the participants, The arch support smart insoles reduced the angle of plantar flexion and increased the angle of foot lift to the outside. Users reported greater gait comfort and rehabilitation preference, associated with higher foot lift. One system recorded spatial, temporal and kinematic gait data, plantar pressure and temperature. Smart insoles support real time monitoring and early detection of conditions such as diabetic foot and Parkinson's disease. Conclusion Smart insoles play an important and valuable role in improving gait and balance, with strong potential for rehabilitation. Artificial intelligence further improves their diagnostic capability. |
| Keywords |
| Smart insoles, Artificial intelligence,biomechanics |
| Status: Abstract Accepted |