Literature DB >> 23224902

Gait analysis in children with cerebral palsy via inertial and magnetic sensors.

Josien C van den Noort1, Alberto Ferrari, Andrea G Cutti, Jules G Becher, Jaap Harlaar.   

Abstract

3D kinematic measurements in children with cerebral palsy (CP) to assess gait deviations can only be performed in gait laboratories using optoelectronic systems. Alternatively, an inertial and magnetic measurement system (IMMS) can be applied for ambulatory motion-tracking. A protocol named Outwalk has recently been developed to measure the 3D kinematics during gait with IMMS. This study preliminary validated the application of IMMS, based on the Outwalk protocol, in gait analysis of six children with CP and one typically developing child. Reference joint kinematics were simultaneously obtained from a laboratory-based system and protocol. On average, the root mean square error (RMSE) of Outwalk/IMMS, compared to the reference, was less than 17° in the transversal plane, and less than 10° in the sagittal and frontal planes. The greatest differences were found in offsets in the knee and ankle rotation, and in the hip flexion. These offset differences were mainly caused by a different anatomical calibration in the protocols. When removing the offsets, RMSE was always less than 4°. Therefore, IMMS is suitable for gait analysis of major joint angles in a laboratory-free setting. Further studies should focus on improvement of anatomical calibrations of IMMS that can be performed in children with CP.

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Year:  2012        PMID: 23224902     DOI: 10.1007/s11517-012-1006-5

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  32 in total

1.  An index for quantifying deviations from normal gait.

Authors:  L M Schutte; U Narayanan; J L Stout; P Selber; J R Gage; M H Schwartz
Journal:  Gait Posture       Date:  2000-02       Impact factor: 2.840

2.  Propagation of anatomical landmark misplacement to knee kinematics: performance of single and double calibration.

Authors:  Rita Stagni; Silvia Fantozzi; Angelo Cappello
Journal:  Gait Posture       Date:  2006-08-24       Impact factor: 2.840

3.  Estimating body segment orientation by applying inertial and magnetic sensing near ferromagnetic materials.

Authors:  Daniel Roetenberg; Chris T M Baten; Peter H Veltink
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-09       Impact factor: 3.802

4.  The knee joint center of rotation is predominantly on the lateral side during normal walking.

Authors:  Seungbum Koo; Thomas P Andriacchi
Journal:  J Biomech       Date:  2008-03-04       Impact factor: 2.712

5.  On the estimation of joint kinematics during gait.

Authors:  H K Ramakrishnan; M P Kadaba
Journal:  J Biomech       Date:  1991       Impact factor: 2.712

6.  Quantitative comparison of five current protocols in gait analysis.

Authors:  Alberto Ferrari; Maria Grazia Benedetti; Esteban Pavan; Carlo Frigo; Dario Bettinelli; Marco Rabuffetti; Paolo Crenna; Alberto Leardini
Journal:  Gait Posture       Date:  2008-02-15       Impact factor: 2.840

7.  Functional calibration procedure for 3D knee joint angle description using inertial sensors.

Authors:  J Favre; R Aissaoui; B M Jolles; J A de Guise; K Aminian
Journal:  J Biomech       Date:  2009-08-08       Impact factor: 2.712

8.  'Outwalk': a protocol for clinical gait analysis based on inertial and magnetic sensors.

Authors:  Andrea Giovanni Cutti; Alberto Ferrari; Pietro Garofalo; Michele Raggi; Angelo Cappello; Adriano Ferrari
Journal:  Med Biol Eng Comput       Date:  2009-11-13       Impact factor: 2.602

9.  Functionally oriented and clinically feasible quantitative gait analysis method.

Authors:  C Frigo; M Rabuffetti; D C Kerrigan; L C Deming; A Pedotti
Journal:  Med Biol Eng Comput       Date:  1998-03       Impact factor: 2.602

10.  Evaluation of clinical spasticity assessment in cerebral palsy using inertial sensors.

Authors:  Josien C van den Noort; Vanessa A Scholtes; Jaap Harlaar
Journal:  Gait Posture       Date:  2009-06-13       Impact factor: 2.840

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  24 in total

1.  Sensory data fusion of pressure mattress and wireless inertial magnetic measurement units.

Authors:  Andraž Rihar; Matjaž Mihelj; Janko Kolar; Jure Pašič; Marko Munih
Journal:  Med Biol Eng Comput       Date:  2014-11-04       Impact factor: 2.602

2.  Resistance training using a novel robotic walker for over-ground gait rehabilitation: a preliminary study on healthy subjects.

Authors:  Kyung-Ryoul Mun; Brandon Bao Sheng Yeo; Zhao Guo; Soon Cheol Chung; Haoyong Yu
Journal:  Med Biol Eng Comput       Date:  2017-03-20       Impact factor: 2.602

3.  Classification of Normal and Pathological Gait in Young Children Based on Foot Pressure Data.

Authors:  Guodong Guo; Keegan Guffey; Wenbin Chen; Paola Pergami
Journal:  Neuroinformatics       Date:  2017-01

4.  Number of trials necessary to achieve performance stability in a reaching kinematics movement analysis game.

Authors:  Yuping Chen; Sergio Garcia-Vergara; Ayanna Howard
Journal:  J Hand Ther       Date:  2019-09-10       Impact factor: 1.950

5.  Automated extraction and validation of children's gait parameters with the Kinect.

Authors:  Saeid Motiian; Paola Pergami; Keegan Guffey; Corrie A Mancinelli; Gianfranco Doretto
Journal:  Biomed Eng Online       Date:  2015-12-02       Impact factor: 2.819

6.  Measuring 3D Hand and Finger Kinematics-A Comparison between Inertial Sensing and an Opto-Electronic Marker System.

Authors:  Josien C van den Noort; Henk G Kortier; Nathalie van Beek; DirkJan H E J Veeger; Peter H Veltink
Journal:  PLoS One       Date:  2016-11-03       Impact factor: 3.240

7.  An IMU-to-Body Alignment Method Applied to Human Gait Analysis.

Authors:  Laura Susana Vargas-Valencia; Arlindo Elias; Eduardo Rocon; Teodiano Bastos-Filho; Anselmo Frizera
Journal:  Sensors (Basel)       Date:  2016-12-10       Impact factor: 3.576

8.  Effect of a Home-Based Virtual Reality Intervention for Children with Cerebral Palsy Using Super Pop VR Evaluation Metrics: A Feasibility Study.

Authors:  Yuping Chen; Sergio Garcia-Vergara; Ayanna M Howard
Journal:  Rehabil Res Pract       Date:  2015-09-17

9.  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

10.  IMU-based joint angle measurement for gait analysis.

Authors:  Thomas Seel; Jörg Raisch; Thomas Schauer
Journal:  Sensors (Basel)       Date:  2014-04-16       Impact factor: 3.576

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