Journal of Exercise Physiology Online

Sairag Saadprai, Supachai Vorapojpisut, Piyanuch Montree, Pangthep Prangmanee, Nuttanicha Thitiratanasard, Thitaporn Unhasirikul, Surachaya Wongkaew, Vinitha Puengtanom, Supattra Silapabanleng, "Joint Range of Motion Measurement Software with Line Chatbot (JROM Chatbot)" ,  Journal of Exercise Physiology Online,  Vol. 25(3)., Jun, 2022.                

ABSTRACT
              The assessment of range of motion (ROM) is important information that medical personnel and sport scientists use to evaluate physical status and prescribe exercise training program for sedentary and athletic individuals. During the Covid-19 pandemic of which social distancing is considered necessary, medical personnel and exercise physiologists are still interested in monitoring the results of their treatment plans and the correctness of exercise postures of patients. Hence, JROM Chatbot was developed to support medical personnel to monitor their patients’ physical status via an online system. Validity and reliability of JROM Chatbot were tested and compared with a goniometer. The subjects consisted of 21 healthy male and female participants with an age range of 18 to 30 years with normal conditions of body mass index, body fat percentage, waist-hip ratio, and knee range of motion without injuries of the lower extremities, musculoskeletal system, and nervous system in the past 1 year. The subjects performed maximum knee flexion and extension as reference posture, and 2 raters measured knee ROM with a goniometer and JROM Chatbot. The Pearson Correlation Coefficient was used to calculate the instrument’s Validity Correlation, and the Intraclass Correlation Coefficient was used to find reliability between the raters and within the raters. The validity correlation of the JROM Chatbot was compared with the goniometer at the high level (r in knee flexion = 0.959, knee extension = 0.982). The results showed that the Intra-Rater Reliability of the knee ROM measurement with the goniometer was at the very high level (ICC3,2 in knee flexion = 0.990, knee extension = 0.990), and the knee ROM measurement with the JROM Chatbot was at a very high level as well (ICC3,2 in knee flexion = 0.998, knee extension = 0.997). In addition, the test results showed when measuring knee ROMs with goniometer, the Inter-Rater Reliability was at the very high level (ICC3,2 in knee flexion = 0.937, knee extension = 0.990), and when measuring knee ROM with the JROM Chatbot, it was also at the very high level (ICC3,2 in knee flexion = 0.961, knee extension = 0.992), which were statistically significant (P<0.01). 
   
Key Words: Goniometer, Line Chatbot, Range of Motion, ROM Motion Measurement Software, Validity and Reliability