Literature DB >> 24499774

Experimental evaluation of indoor magnetic distortion effects on gait analysis performed with wearable inertial sensors.

E Palermo1, S Rossi, F Patanè, P Cappa.   

Abstract

Magnetic inertial measurement unit systems (MIMU) offer the potential to perform joint kinematics evaluation as an alternative to optoelectronic systems (OS). Several studies have reported the effect of indoor magnetic field disturbances on the MIMU's heading output, even though the overall effect on the evaluation of lower limb joint kinematics is not yet fully explored. The aim of the study is to assess the influence of indoor magnetic field distortion on gait analysis trials conducted with a commercial MIMU system. A healthy adult performed gait analysis sessions both indoors and outdoors. Data collected indoors were post-processed with and without a heading correction methodology performed with OS at the start of the gait trial. The performance of the MIMU system is characterized in terms of indices, based on the mean value of lower limb joint angles and the associated ROM, quantifying the system repeatability. We find that the effects of magnetic field distortion, such as the one we experienced in our lab, were limited to the transverse plane of each joint and to the frontal plane of the ankle. Sagittal plane values, instead, showed sufficient repeatability moving from outdoors to indoors. Our findings provide indications to clinicians on MIMU performance in the measurement of lower limb kinematics.

Mesh:

Year:  2014        PMID: 24499774     DOI: 10.1088/0967-3334/35/3/399

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  15 in total

1.  An Inertial Measurement Unit-Based Wireless System for Shoulder Motion Assessment in Patients with Cervical Spinal Cord Injury: A Validation Pilot Study in a Clinical Setting.

Authors:  Riccardo Bravi; Stefano Caputo; Sara Jayousi; Alessio Martinelli; Lorenzo Biotti; Ilaria Nannini; Erez James Cohen; Eros Quarta; Stefano Grasso; Giacomo Lucchesi; Gabriele Righi; Giulio Del Popolo; Lorenzo Mucchi; Diego Minciacchi
Journal:  Sensors (Basel)       Date:  2021-02-04       Impact factor: 3.576

2.  Toward real-time automated detection of turns during gait using wearable inertial measurement units.

Authors:  Domen Novak; Maja Goršič; Janez Podobnik; Marko Munih
Journal:  Sensors (Basel)       Date:  2014-10-10       Impact factor: 3.576

3.  A novel HMM distributed classifier for the detection of gait phases by means of a wearable inertial sensor network.

Authors:  Juri Taborri; Stefano Rossi; Eduardo Palermo; Fabrizio Patanè; Paolo Cappa
Journal:  Sensors (Basel)       Date:  2014-09-02       Impact factor: 3.576

4.  Autonomous Quality Control of Joint Orientation Measured with Inertial Sensors.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

5.  Disability and Fatigue Can Be Objectively Measured in Multiple Sclerosis.

Authors:  Caterina Motta; Eduardo Palermo; Valeria Studer; Marco Germanotta; Giorgio Germani; Diego Centonze; Paolo Cappa; Silvia Rossi; Stefano Rossi
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

6.  Capturing the Cranio-Caudal Signature of a Turn with Inertial Measurement Systems: Methods, Parameters Robustness and Reliability.

Authors:  Karina Lebel; Hung Nguyen; Christian Duval; Réjean Plamondon; Patrick Boissy
Journal:  Front Bioeng Biotechnol       Date:  2017-08-23

Review 7.  How Magnetic Disturbance Influences the Attitude and Heading in Magnetic and Inertial Sensor-Based Orientation Estimation.

Authors:  Bingfei Fan; Qingguo Li; Tao Liu
Journal:  Sensors (Basel)       Date:  2017-12-28       Impact factor: 3.576

8.  On Inertial Body Tracking in the Presence of Model Calibration Errors.

Authors:  Markus Miezal; Bertram Taetz; Gabriele Bleser
Journal:  Sensors (Basel)       Date:  2016-07-22       Impact factor: 3.576

9.  Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy.

Authors:  Juri Taborri; Emilia Scalona; Eduardo Palermo; Stefano Rossi; Paolo Cappa
Journal:  Sensors (Basel)       Date:  2015-09-23       Impact factor: 3.576

10.  In Memoriam: Paolo Cappa.

Authors:  Eduardo Palermo; Stefano Rossi; Fabrizio Patanè; Jeffrey Laut; Maurizio Porfiri
Journal:  Sensors (Basel)       Date:  2017-11-18       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.