• DocumentCode
    1180695
  • Title

    Is it feasible to reconstruct body segment 3-D position and orientation using accelerometric data?

  • Author

    Giansanti, Daniele ; Macellari, Velio ; Maccioni, Giovanni ; Cappozzo, Aurelio

  • Author_Institution
    Laboratorio di Ingegneria Biomedica, Inst. Superiore di Sanita, Rome, Italy
  • Volume
    50
  • Issue
    4
  • fYear
    2003
  • fDate
    4/1/2003 12:00:00 AM
  • Firstpage
    476
  • Lastpage
    483
  • Abstract
    The analysis of the mechanics of the musculo-skeletal system during the execution of a motor task requires the determination of the instantaneous position and orientation of the body segments involved in relation to an inertial system of reference. By using adequately assembled uniaxial accelerometric sensors, an easy-to-manage measurement system can be obtained that estimates the three-dimensional position and orientation (P&O) of a body segment through an appropriate analytical model. However, the extent to which experimental errors, in particular accelerometers (ACs) assembly inaccuracies, affect such estimation has never been systematically investigated. This paper systematically analyzes the sensitivity of analytical models of body segment P&O reconstruction through a six-AC system and a nine-AC system to different sources of experimental error. We simulated and statistically assessed the performance of these models in the case of body segment motions typical of movements under muscular control. The results obtained indicated that the inaccuracy in the orientation of the individual AC´s active axes and the offset error in the AC responses were the major sources of P&O estimation errors. In particular, no accurate estimation of position was possible with the analytical models analyzed. Under the motion conditions simulated in this study, no substantial advantages were found in using a nine-AC system rather than a six-AC system. Considering that the magnitudes of the simulated experimental errors were quite low (≤0.1 deg: AC´s orientation; ≤10-4 m: uncertainty of the distance between two ACs; ≤10-2 ms-2: random error; 0.5·10-2 ms-2: offset error), the results indicate that none of the two ACs systems analyzed is suitable for body segment P&O estimation in routine biomechanical applications.
  • Keywords
    accelerometers; biocontrol; biomechanics; biomedical measurement; measurement errors; muscle; neurophysiology; physiological models; accelerometric data; active axes; analytical model; body segment 3-D position; body segment motions; body segment orientation; body segment reconstruction; easy-to-manage measurement system; estimation errors; experimental errors; inertial system of reference; mechanics; motor task execution; muscular control; musculo-skeletal system; nine-accelerometer system; offset error; random error; routine biomechanical applications; six-accelerometer system; statistical assessment; three-dimensional position; uniaxial accelerometric sensors; Accelerometers; Analytical models; Assembly systems; Biological system modeling; Biomedical measurements; Magnetic field measurement; Magnetic sensors; Position measurement; Sensor systems; Volume measurement; Acceleration; Algorithms; Artifacts; Computer Simulation; Feasibility Studies; Humans; Locomotion; Models, Biological; Physical Examination; Posture; Reproducibility of Results; Rotation; Sensitivity and Specificity; Transducers;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2003.809490
  • Filename
    1193781