Abstract
Background-OA risk rises significantly with age and is incredibly uncommon in anyone under the age of 30. Female sex, obesity, past joint damage (such as an ankle fracture or knee ligament rupture), atypical joint anatomy, and having family members with OA all raise the risk of getting the condition. It has now become necessary to monitor the progress of the individual with the treatment given. Aim- To track the progression of the ailment using unique fitness and Fit must devices. Objective - To find out the percentage of progress the participant did in each of the parameters, to find any co-relation within the parameters. Results-Wearables and a handheld dynamometer were used to calculate and significant findings were seen over the course of four months in addition to physiotherapy activities. Conclusion- Wearables and artificial intelligence have made it simple for patients and therapists to monitor progress and recovery.
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