A method comprising to analyze the captured video data of the patient's body parts and to generate
patient motion metrics, patient posture
metrics, and patient
gait metrics for each exercise routine completed by the patient based on the analyzed video data; store, in a
database, the generated
patient motion metrics, the patient posture metrics and the patient
gait metrics for each of the completed exercise routines, wherein the generated
patient motion metrics, the generated patient posture metrics and the generated patient
gait metrics are used to track patient progress during
physical therapy sessions, diagnose
movement disorders, and provide personalized, data-driven treatment plans to enhance immediate outcomes and long-term
recovery with respect to the musculoskeletal and neurological disorders; apply motion amplification algorithms to enhance the additional video data to provide
clarity of tremor movements; apply
edge detection to enhance tremor movement boundaries and detection; generate tremor amplitude measurements and tremor
frequency measurements based on the motion amplification and
edge detection algorithms; and store, in the
database, the generated tremor amplitude measurements and tremor
frequency measurements, wherein the generated tremor amplitude measurements and tremor
frequency measurements are analyzed for diagnosis and monitoring of disorders such as Parkinson's
disease and
Essential Tremor.