Leveraging Wearable IoT Solutions and AI for Improved Orthopaedic Care in Kenya
Keywords: Joint Flexion Angle, Orthopaedic Care, Human Pose Model, Wearable Device
TL;DR: This work combines wearable IoT devices and Artificial Intelligence (AI) to enhance clinicians' monitoring of orthopedic patients' recovery after a clinical procedure, aiming for improved outcomes.
Abstract: This work combines wearable IoT devices and Artificial Intelligence (AI) to enhance clinicians' monitoring of orthopedic patients' recovery after a clinical procedure, aiming for improved outcomes. The objective is to advance techniques used in measuring joint flexion angles, which have several drawbacks such as relying heavily on the clinician for accuracy while also being invasive as they require physical contact between the patient and orthopedic specialist. This short paper details the progress achieved in developing two methods of approximating the human joint flexion angles as well as a comparative analysis of the two implementations. Ongoing work involves enhancing the implementation for actual deployment for the first round of testing of the feasibility of the solution in a clinical setting. This work can have a significant impact on the accessibility and affordability of innovative healthcare monitoring technologies in Kenya where the need for quality orthopedic care is much greater than can be met by the available personnel.
Submission Category: Machine learning algorithms
Submission Number: 67
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