Dataset: Unsupervised IMU-based evaluation of at-home exercise programmes with different types of instructions.
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https://figshare.com/articles/dataset/Dataset_unsupervised_evaluation_of_home-based_exercise_programmes_with_different_types_of_instructions/13483599
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Background:
The benefits to be
obtained from home-based physical therapy programmes are dependant on the
proper execution of physiotherapy exercises during unsupervised treatment.
Different types of instructions, such as videotaped demonstrations and brochures,
may influence patient performance at home. Methods: A total of thirty
healthy volunteers (mean age of 31 years) had their movements captured using
wearable inertial sensors, after video recordings of five different exercises
with varying levels of complexity were demonstrated to them. Participants were
then randomised to receive videotaped, written or illustrated instructions, along
with wearable sensors to enable a second unsupervised data capture at home.
Movement consistency between the participants’ recordings was assessed with metrics
of movement smoothness, intensity, consistency and control. Results: Irrespective
of group allocation, subjects executed all the exercises consistently when
recording at home and as compared
with their performance in the lab.
However, all the considered modes of instruction were ineffective in setting the pace of movement, as
participants executed all movements faster compared to the demonstrated video
footages. Conclusion:
Since patient performance is unaffected by the type of the prescribed
instructions, healthcare professionals may recommend instructive material based
on patient preference in order to improve satisfaction levels. A wearable system with real-time
performance metrics and feedback would better aid in therapeutic exercises that
ought to be performed with appropriate speed, intensity, smoothness and range
of motion.
创建时间:
2021-01-14



