Literature DB >> 24287432

Measurement of lower limb joint kinematics using inertial sensors during stair ascent and descent in healthy older adults and stroke survivors.

Annemarie Laudanski1, Brenda Brouwer, Qingguo Li.   

Abstract

This study validated the feasibility of inertial sensors in estimating lower limb joint kinematics during stair ambulation in healthy older adults and stroke survivors. Three dimensional motion data were collected using an inertial sensor-based system from 9 persons with stroke and 9 healthy older adults as they ascended and descended a staircase at a self-selected pace. The measured joint angles were compared with a laboratory-based motion capture system by computing differences in range of motion (RoM), grand mean error, standard deviation, and coefficients of multiple correlations. For stroke survivors, differences in RoM measurements between these two systems were determined to be 3.3 ± 8.1°, while the highest correlations were found in the estimation of sagittal plane joint angles after offset correction. Results suggest that the inertial sensor system is suitable for estimating major joint angles in healthy older adults as well as the RoM for stroke survivors. New calibration procedures are necessary for applying the technology to a stroke population.

Entities:  

Keywords:  gait analysis; inertial measurement units; joint kinematics; stair ambulation; stroke

Mesh:

Year:  2013        PMID: 24287432     DOI: 10.1260/2040-2295.4.4.555

Source DB:  PubMed          Journal:  J Healthc Eng        ISSN: 2040-2295            Impact factor:   2.682


  7 in total

1.  Design and Study of a Smart Cup for Monitoring the Arm and Hand Activity of Stroke Patients.

Authors:  Maxence Bobin; Margarita Anastassova; Mehdi Boukallel; Mehdi Ammi
Journal:  IEEE J Transl Eng Health Med       Date:  2018-08-30       Impact factor: 3.316

2.  Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.

Authors:  Giacomo Di Raimondo; Benedicte Vanwanseele; Arthur van der Have; Jill Emmerzaal; Miel Willems; Bryce Adrian Killen; Ilse Jonkers
Journal:  Sensors (Basel)       Date:  2022-04-24       Impact factor: 3.847

3.  Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles.

Authors:  Lukas Adamowicz; Reed D Gurchiek; Jonathan Ferri; Anna T Ursiny; Niccolo Fiorentino; Ryan S McGinnis
Journal:  Sensors (Basel)       Date:  2019-11-24       Impact factor: 3.576

4.  Lower Limb Kinematics Using Inertial Sensors during Locomotion: Accuracy and Reproducibility of Joint Angle Calculations with Different Sensor-to-Segment Calibrations.

Authors:  Julien Lebleu; Thierry Gosseye; Christine Detrembleur; Philippe Mahaudens; Olivier Cartiaux; Massimo Penta
Journal:  Sensors (Basel)       Date:  2020-01-28       Impact factor: 3.576

5.  Lower limb kinematics improvement after genicular nerve blockade in patients with knee osteoarthritis: a milestone study using inertial sensors.

Authors:  Julien Lebleu; Loic Fonkoue; Eric Bandolo; Herman Fossoh; Philippe Mahaudens; Olivier Cornu; Christine Detrembleur
Journal:  BMC Musculoskelet Disord       Date:  2020-12-07       Impact factor: 2.362

6.  Validation of the angular measurements of a new inertial-measurement-unit based rehabilitation system: comparison with state-of-the-art gait analysis.

Authors:  Alberto Leardini; Giada Lullini; Sandro Giannini; Lisa Berti; Maurizio Ortolani; Paolo Caravaggi
Journal:  J Neuroeng Rehabil       Date:  2014-09-11       Impact factor: 4.262

7.  Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics.

Authors:  Wesley Niswander; Wei Wang; Kimberly Kontson
Journal:  Sensors (Basel)       Date:  2020-10-22       Impact factor: 3.576

  7 in total

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