Toe-in and toe-out angles show difficulties in assessing and addressing gait abnormalities, posture issues, and joint stress, requiring sophisticated monitoring and treatment strategies in musculoskeletal health. Diagnostic and Detecting toe-in/out angles is important because of its rules and index into gait abnormalities, posture imbalances, and potential joint stress, enabling early intervention and personalized treatment to improve musculoskeletal health and prevent long-term complications. While various diagnostic methods have been developed, the diagnosis of this disease continues to rely heavily on the expertise of healthcare professionals. Researchers are actively seeking more dependable and convenient approaches to assist patients in achieving earlier diagnoses and monitoring treatment progress effectively. With the importance of this measurement, the proposed design system named IOTToe based on the Internet of Things (IOT) aims to create an effective and user-friendly tool for measuring toe-in and toe-out angles accurately and easily. A web-based interface enables real-time remote tracking of foot alignment, reducing the need for physical tests and making reports. The telemetric capabilities facilitate efficient data transmission, empowering medical professionals with valuable insights for personalized treatment and enhancing healthcare efficiency. Integration with hospital systems supports advanced research in musculoskeletal health. The obtained results show the ability of the system to help the diagnosis and treatment process.

IOTToe: A Smart System for In/Out-Toeing Foot Identification

Emadi Andani, Mehran
2024-01-01

Abstract

Toe-in and toe-out angles show difficulties in assessing and addressing gait abnormalities, posture issues, and joint stress, requiring sophisticated monitoring and treatment strategies in musculoskeletal health. Diagnostic and Detecting toe-in/out angles is important because of its rules and index into gait abnormalities, posture imbalances, and potential joint stress, enabling early intervention and personalized treatment to improve musculoskeletal health and prevent long-term complications. While various diagnostic methods have been developed, the diagnosis of this disease continues to rely heavily on the expertise of healthcare professionals. Researchers are actively seeking more dependable and convenient approaches to assist patients in achieving earlier diagnoses and monitoring treatment progress effectively. With the importance of this measurement, the proposed design system named IOTToe based on the Internet of Things (IOT) aims to create an effective and user-friendly tool for measuring toe-in and toe-out angles accurately and easily. A web-based interface enables real-time remote tracking of foot alignment, reducing the need for physical tests and making reports. The telemetric capabilities facilitate efficient data transmission, empowering medical professionals with valuable insights for personalized treatment and enhancing healthcare efficiency. Integration with hospital systems supports advanced research in musculoskeletal health. The obtained results show the ability of the system to help the diagnosis and treatment process.
2024
979-8-3503-5317-4
component, in-toeing, out-toeing feet, Internet Of things (IOT), Extensor hallucis longus (EHL), Calf, gastrocnemius muscle, instep hell, tendo calcaneus muscle, NodeMCU
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1150987
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