Title :
Evaluating rehabilitation exercise performance using a single inertial measurement unit
Author :
Giggins, Oonagh ; Kelly, Denis ; Caulfield, Brian
Author_Institution :
Clarity Centre for Sensor Web Technol., Univ. Coll. Dublin, Dublin, Ireland
Abstract :
Inertial measurement units (IMUs) may be used during exercise to provide feedback on exercise technique. However the number of IMUs that are required to deliver effective feedback during lower limb exercises has not yet been established. This preliminary investigation sought to investigate whether a single IMU on the shin is capable of identifying conditions of poor technique during seven lower limb exercises. Nine healthy volunteers (five male, four female, age: 26.3 ± 6.7 years, height: 1.77 ± O.OSm, weight: 73.4 ± S.7 kg) performed the exercises firstly with correct technique and then with different conditions of poor technique. Acceleration and angular velocity were recorded from the IMU positioned on the shin during all exercise performance conditions. Maximum and minimum acceleration and angular velocity (in X, Y, Z) and the range of each were calculated for each condition. A paired t test was used to analyse whether there was a difference in the IMU parameters between the different exercise conditions. Joint range of motion at the hip, knee and ankle were calculated using data derived from a marker based motion analysis system in order to confirm that expected deviations had occurred. The data presented has revealed that a single IMU can be used to identify the conditions of poor technique during five of the seven exercises studied. This investigation provides preliminary evidence to suggest that one IMU placed on the shin can be used to identify poor technique during seven common rehabilitation exercises, however pattern recognition techniques must be developed in order to facilitate objective real time performance measurement and feedback.
Keywords :
acceleration; acceleration measurement; angular velocity; angular velocity measurement; patient rehabilitation; pattern recognition; statistical testing; IMU parameters; ankle motion; biofeedback; exercise performance conditions; healthy volunteers; hip motion; inertial measurement units; knee motion; lower-limb exercises; marker-based motion analysis; maximum acceleration; maximum angular velocity; minimum acceleration; minimum angular velocity; paired t-test; pattern recognition techniques; rehabilitation exercise performance evaluation; shin; Acceleration; Erbium; Hip; Read only memory; Biofeedback; Exercise Performance; Rehabilitation;
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013 7th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4799-0296-5
Electronic_ISBN :
978-1-936968-80-0