METHODS: This is an assessor-blinded randomized control trial comparing 2 types of intervention which are HBT (experimental group) and usual practice (UP) (control group). Based on sample size calculation using GPower, a total number of 42 participants will be recruited and allocated into either the HBT or the UP group. Participants in HBT group will receive a set of structured exercise therapy consisting of progressive strengthening, balance and task-related exercises. While participants in UP group will receive a usual "intervention" practised by rehabilitation professional prior to discharging stroke patients from their care. Both groups are advised to perform the given interventions for 3 times per week for 12 weeks under the supervision of their caregiver. Outcomes of interventions will be measured using timed up and go test (for mobility), ten-meter walk test (for gait speed), stroke self-efficacy questionnaire (for self-efficacy) and hospital anxiety and depression scale (for anxiety level). All data will be analyzed using descriptive and inferential statistics.
DISCUSSION: This study will provide the information on the effectiveness of HBT in comparison to UP among stroke population who are discharged from rehabilitation. Findings from the study will enable rehabilitation professionals to design effective discharge care plan for stroke survivors in combating functional decline when no longer receiving hospital-based therapy.
TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12619001182189 (last updated 22/11/2019).
OBJECTIVE: This study was carried out to identify important parameters in designing tasks that efficiently assess hand function of stroke patients and to quantify potential benefits of robotic assessment modules to predict the conventional assessment score with iRest.
METHODS: Twelve predictive variables were explored, relating to movement time, velocity, strategy, accuracy and smoothness from three robotic assessment modules which are Draw I, Draw Diamond and Draw Circle. Regression models using up to four predictors were developed to describe the MAS.
RESULTS: Results show that the time given should be not too long and it would affect the trajectory error. Besides, result also shows that it is possible to use iRest in predicting MAS score.
CONCLUSION: There is a potential of using iRest, a non-motorized device in predicting MAS score.