In this study, it was aimed to reveal the results of posture measurement evaluated by artificial intelligence method, pain status and musculoskeletal disorders in individuals who have had COVID-19.
Thanks to artificial intelligence and machine learning technology, evaluations such as balance and foot pressure measurement can be made in patients today, as well as applications such as exercise and patient follow-up in rehabilitation, solutions to biomedical problems can be offered. Artificial intelligence and machine learning will continue to play an important role in education, training, patient care and research in the future. On the other hand, although various psychological and physical problems have been shown in individuals who have had COVID-19 during the prolonged COVID-19 pandemic process, musculoskeletal disorders and posture problems in these individuals remain unclear. For this reason, in this study, it was aimed to reveal the results of posture measurement evaluated by artificial intelligence method, pain status and musculoskeletal disorders in individuals who have had COVID-19.
Study Type
OBSERVATIONAL
Enrollment
41
In this study, pain, posture and musculoskeletal disorders were evaluated in post-COVID-19 individuals. The data to be obtained from all these evaluations were collected from the individuals at one time and over a period of approximately 1 hour at the most.
Izmir Democracy University
Izmir, Turkey (Türkiye)
Pain Intensity
Pain intensity were measured with the Numerical Rating Scale. This scale expresses the severity of pain with integers from 0 (no pain) to 10 (the worst possible pain).
Time frame: through study completion, an average of 1 year
Posture assessment
Posture deviation were determined according to the deviation score in the joint centers obtained by photographing the posture of the individuals and uploading them to the system. Posture assessment were made with a mobile application based on the concept of postural analysis with artificial intelligence.
Time frame: through study completion, an average of 1 year
Score of musculoskeletal disorders
The score of musculoskeletal disorders were evaluated using Cornell Musculoskeletal Disorders Questionnaire.A minimum of 0 and a maximum of 90 points are obtained from the scale for each body area. The total score is obtained by adding the scores for each body area. A high total score indicates that the discomfort in the musculoskeletal system is high.
Time frame: through study completion, an average of 1 year
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