Literature DB >> 22757503

Measurement of multi-segment foot joint angles during gait using a wearable system.

Hossein Rouhani1, Julien Favre, Xavier Crevoisier, Kamiar Aminian.   

Abstract

Usually the measurement of multi-segment foot and ankle complex kinematics is done with stationary motion capture devices which are limited to use in a gait laboratory. This study aimed to propose and validate a wearable system to measure the foot and ankle complex joint angles during gait in daily conditions, and then to investigate its suitability for clinical evaluations. The foot and ankle complex consisted of four segments (shank, hindfoot, forefoot, and toes), with an inertial measurement unit (3D gyroscopes and 3D accelerometers) attached to each segment. The angles between the four segments were calculated in the sagittal, coronal, and transverse planes using a new algorithm combining strap-down integration and detection of low-acceleration instants. To validate the joint angles measured by the wearable system, three subjects walked on a treadmill for five minutes at three different speeds. A camera-based stationary system that used a cluster of markers on each segment was used as a reference. To test the suitability of the system for clinical evaluation, the joint angle ranges were compared between a group of 10 healthy subjects and a group of 12 patients with ankle osteoarthritis, during two 50-m walking trials where the wearable system was attached to each subject. On average, over all joints and walking speeds, the RMS differences and correlation coefficients between the angular curves obtained using the wearable system and the stationary system were 1 deg and 0.93, respectively. Moreover, this system was able to detect significant alteration of foot and ankle function between the group of patients with ankle osteoarthritis and the group of healthy subjects. In conclusion, this wearable system was accurate and suitable for clinical evaluation when used to measure the multi-segment foot and ankle complex kinematics during long-distance walks in daily life conditions.

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Year:  2012        PMID: 22757503     DOI: 10.1115/1.4006674

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  10 in total

1.  Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis.

Authors:  Ziwei Zeng; Yue Liu; Xiaoyue Hu; Meihua Tang; Lin Wang
Journal:  Sports Med Open       Date:  2022-06-27

2.  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

3.  Inertial measurement systems for segments and joints kinematics assessment: towards an understanding of the variations in sensors accuracy.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Biomed Eng Online       Date:  2017-05-15       Impact factor: 2.819

4.  Quantification of Triple Single-Leg Hop Test Temporospatial Parameters: A Validated Method using Body-Worn Sensors for Functional Evaluation after Knee Injury.

Authors:  Niloufar Ahmadian; Milad Nazarahari; Jackie L Whittaker; Hossein Rouhani
Journal:  Sensors (Basel)       Date:  2020-06-19       Impact factor: 3.576

5.  Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review.

Authors:  Ive Weygers; Manon Kok; Marco Konings; Hans Hallez; Henri De Vroey; Kurt Claeys
Journal:  Sensors (Basel)       Date:  2020-01-26       Impact factor: 3.576

6.  Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach.

Authors:  Mohsen Gholami; Christopher Napier; Carlo Menon
Journal:  Sensors (Basel)       Date:  2020-05-22       Impact factor: 3.576

Review 7.  Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review.

Authors:  Dylan Kobsar; Zaryan Masood; Heba Khan; Noha Khalil; Marium Yossri Kiwan; Sarah Ridd; Matthew Tobis
Journal:  Sensors (Basel)       Date:  2020-12-13       Impact factor: 3.576

8.  A novel method for measuring in-shoe navicular drop during gait.

Authors:  Simon L Kappel; Michael S Rathleff; Dan Hermann; Ole Simonsen; Henrik Karstoft; Peter Ahrendt
Journal:  Sensors (Basel)       Date:  2012-08-27       Impact factor: 3.576

9.  Using a body-fixed sensor to identify subclinical gait difficulties in older adults with IADL disability: maximizing the output of the timed up and go.

Authors:  Aner Weiss; Anat Mirelman; Aron S Buchman; David A Bennett; Jeffrey M Hausdorff
Journal:  PLoS One       Date:  2013-07-29       Impact factor: 3.240

Review 10.  Measurement of Walking Ground Reactions in Real-Life Environments: A Systematic Review of Techniques and Technologies.

Authors:  Erfan Shahabpoor; Aleksandar Pavic
Journal:  Sensors (Basel)       Date:  2017-09-12       Impact factor: 3.576

  10 in total

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