7th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Evaluating Rehabilitation Exercise Performance Using a Single Inertial Measurement Unit

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252061,
        author={Oonagh Giggins and Daniel Kelly and Brian Caulfield},
        title={Evaluating Rehabilitation Exercise Performance Using a Single Inertial Measurement Unit},
        proceedings={7th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2013},
        month={5},
        keywords={rehabilitation; biofeedback; exercise performance},
        doi={10.4108/icst.pervasivehealth.2013.252061}
    }
    
  • Oonagh Giggins
    Daniel Kelly
    Brian Caulfield
    Year: 2013
    Evaluating Rehabilitation Exercise Performance Using a Single Inertial Measurement Unit
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2013.252061
Oonagh Giggins1,*, Daniel Kelly1, Brian Caulfield1
  • 1: Clarity Centre for Sensor Web Technologies
*Contact email: oonagh.giggins@ucdconnect.ie

Abstract

Inertial measurement units (IMUs) may be used during exercise to provide feedback on exercise technique. 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 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.