On the impact of the erroneous identification of inertial sensors' locations on segments and whole-body centers of mass accelerations: a sensitivity study in one transfemoral amputee

The kinematics of the body center of mass (bCoM) may provide crucial information supporting the rehabilitation process of people with transfemoral amputation. The use of magneto-inertial measurement units (MIMUs) is promising as it may allow in-the-field bCoM motion monitoring. Indeed, bCoM acceleration might be obtained by fusing the estimated accelerations of body segments' centers of mass (sCoM), the formers being computed from the measured accelerations by segment-mounted MIMUs and the known relative position between each pair of MIMU and underlying sCoM. This paper investigates how erroneous identifications of MIMUs positions impact the accuracy of estimated 3D sCoM and bCoM accelerations in transfemoral amputee gait. Using an experimental design approach, 215 simulations of erroneous identifications of MIMUs positions (up to 0.02 m in each direction) were simulated over seven recorded gait cycles of one participant. MIMUs located on the trunk and sound lower limbs were shown to explain up to 77% of the variance in the accuracy of the estimated bCoM acceleration, presumably due to the higher mass and/or angular velocity of these segments during gait of lower-limb amputees. Therefore, a special attention should be paid when identifying the positions of MIMUs located on segments contributing the most to the investigated motion. Sensitivity of the estimated vertical body center of mass acceleration to erroneous identifications of MIMU positions in the anteroposterior (AP), mediolateral (ML), and vertical (V) directions, expressed in percentage of the total variance of the estimation accuracy.

[1]  Joseph Bascou,et al.  Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study , 2021, Sensors.

[2]  Robert Gailey,et al.  Symmetry in External Work (SEW): A Novel Method of Quantifying Gait Differences Between Prosthetic Feet , 2009, Prosthetics and orthotics international.

[3]  Stephen A. Billings,et al.  Real-Life Measurement of Tri-Axial Walking Ground Reaction Forces Using Optimal Network of Wearable Inertial Measurement Units , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  Tian Tan,et al.  Influence of IMU position and orientation placement errors on ground reaction force estimation. , 2019, Journal of biomechanics.

[5]  T. Yamamuro,et al.  Kinetic analysis of the center of gravity of the human body in normal and pathological gaits. , 1987, Journal of biomechanics.

[6]  Robert D. Catena,et al.  Does the anthropometric model influence whole-body center of mass calculations in gait? , 2017, Journal of biomechanics.

[7]  Hélène Pillet,et al.  A Mechanical Descriptor of Instability in Human Locomotion: Experimental Findings in Control Subjects and People with Transfemoral Amputation , 2020 .

[8]  H. R. Kruk,et al.  An accurate estimation of the horizontal acceleration of a rower’s centre of mass using inertial sensors: a validation , 2018, European journal of sport science.

[9]  Andrea Mannini,et al.  A Wearable Magnetometer-Free Motion Capture System: Innovative Solutions for Real-World Applications , 2020, IEEE Sensors Journal.

[10]  Angelo M. Sabatini,et al.  Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing , 2011, Sensors.

[11]  Hélène Pillet,et al.  Evaluation of force plate-less estimation of the trajectory of the centre of pressure during gait. Comparison of two anthropometric models. , 2010, Gait & posture.

[12]  Angelo M. Sabatini,et al.  Estimating Orientation Using Magnetic and Inertial Sensors and Different Sensor Fusion Approaches: Accuracy Assessment in Manual and Locomotion Tasks , 2014, Sensors.

[13]  G. Cavagna,et al.  Mechanical work and efficiency in level walking and running , 1977, The Journal of physiology.

[14]  Alberto E Minetti,et al.  The mathematical description of the body centre of mass 3D path in human and animal locomotion. , 2011, Journal of biomechanics.

[15]  Alberto E. Minetti,et al.  On the Estimation Accuracy of the 3D Body Center of Mass Trajectory during Human Locomotion: Inverse vs. Forward Dynamics , 2017, Front. Physiol..

[16]  Sebastian Madgwick,et al.  Estimation of IMU and MARG orientation using a gradient descent algorithm , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[17]  J. Bascou,et al.  Definition of an optimal model based on segments’ contribution for the estimation of the acceleration of the center of mass in people with lower-limb amputation , 2020 .

[18]  A E Minetti,et al.  The biomechanics of skipping gaits: a third locomotion paradigm? , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[19]  Graham N Askew,et al.  Energy cost of ambulation in trans-tibial amputees using a dynamic-response foot with hydraulic versus rigid ‘ankle’: insights from body centre of mass dynamics , 2019, Journal of NeuroEngineering and Rehabilitation.

[20]  D. Howard,et al.  Whole body inverse dynamics over a complete gait cycle based only on measured kinematics. , 2008, Journal of biomechanics.