Intensity control of robot-assisted gait training based on biometric data: Preliminary study

This study is aimed to compare the effect of robot-assisted gait training when the intensity is controlled using patients’ biometric data to when controlled by therapist’s subjective judgment. DESIGN: This is non-blinded, prospective, randomized controlled study. Patients were randomly assigned to one of two groups. In biometric data control group, exercise intensity was controlled through the patient’s heart rate or rating of perceived exertion (RPE). The intensity was raised to the next level when the patient’s heart rate reserve was less than 40 percent or the RPE was less than 12 points. The exercise intensity of the therapist control group was adjusted according to the judgement of a therapist. All patients were instructed to perform robot (Morning Walk®)-assisted 20-minute gait training session five times a week during 3 weeks. The primary outcome was functional ambulation category (FAC). The secondary outcomes were modified Barthel index (MBI), Berg balance scale (BBS), timed up and go test (TUG) and 10-meter walk test (10MWT) The outcomes were evaluated at baseline and after 3-week gait training. RESULTS: A total of 55 patients with stroke were enrolled. After robotic rehabilitation, the primary outcome, FAC improved significantly (P < .05) in both groups. Also, secondary outcomes, including MBI, BBS, TUG, 10MWT, showed significant improvement (P < .05) in all groups. In addition, when comparing the functional change from baseline to week 3 between the two groups, there was no statistically significant difference in FAC (P > .05). The difference of baseline and week 3 of secondary outcome measure, MBI, BBS, TUG, 10MWT, showed no significant difference (P > .05). CONCLUSION: In conclusion, when the robot intensity was adjusted using the patient’s heart rate or RPE, the treatment effect has no significant difference to when adjusting the intensity according to the know-how of the therapist.