The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy
The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten...
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MDPI AG
2019-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/7/1660 |
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| author | Yunru Ma Kumar Mithraratne Nichola C. Wilson Xiangbin Wang Ye Ma Yanxin Zhang |
| author_facet | Yunru Ma Kumar Mithraratne Nichola C. Wilson Xiangbin Wang Ye Ma Yanxin Zhang |
| author_sort | Yunru Ma |
| collection | DOAJ |
| description | The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten children with CP, on two occasions. Lower limb joint kinematics computed from the Kinect and a traditional marker-based Motion Analysis system were investigated by calculating the root mean square errors (RMSE), the coefficients of multiple correlation (CMC), and the intra-class correlation coefficients (ICC<i><sub>2,k</sub></i>). Results showed that the Kinect-based kinematics had an overall modest to poor correlation (CMC—less than 0.001 to 0.70) and an angle pattern similarity with Motion Analysis. After the calibration, RMSE on every degree of freedom decreased. The two calibration methods indicated similar levels of improvement in hip sagittal (CMC—0.81 ± 0.10 vs. 0.75 ± 0.22)/frontal (CMC—0.41 ± 0.35 vs. 0.42 ± 0.37) and knee sagittal kinematics (CMC—0.85±0.07 vs. 0.87 ± 0.12). The hip sagittal (CMC—0.97±0.05) and knee sagittal (CMC—0.88 ± 0.12) angle patterns showed a very good agreement over two days. Modest to excellent reliability (ICC<i><sub>2,k</sub></i>—0.45 to 0.93) for most parameters renders it feasible for observing ongoing changes in gait kinematics. |
| first_indexed | 2024-04-13T00:49:58Z |
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| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T00:49:58Z |
| publishDate | 2019-04-01 |
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| series | Sensors |
| spelling | doaj.art-aa89e0dc18d546b79eeb8fb564b2f6442022-12-22T03:09:53ZengMDPI AGSensors1424-82202019-04-01197166010.3390/s19071660s19071660The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral PalsyYunru Ma0Kumar Mithraratne1Nichola C. Wilson2Xiangbin Wang3Ye Ma4Yanxin Zhang5Department of Exercise Sciences, Faculty of Science, University of Auckland, Auckland 1023, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland 1010, New ZealandDepartment of Surgery, School of Medicine, Faculty of Medical and Health Science, University of Auckland, Auckland 1023, New ZealandCollege of Rehabilitation Medicine, Fujian University of TCM, Fuzhou 350122, ChinaResearch Academy of Grand Health, Faculty of Sports Science, Ningbo University, Ningbo 315000, ChinaDepartment of Exercise Sciences, Faculty of Science, University of Auckland, Auckland 1023, New ZealandThe aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten children with CP, on two occasions. Lower limb joint kinematics computed from the Kinect and a traditional marker-based Motion Analysis system were investigated by calculating the root mean square errors (RMSE), the coefficients of multiple correlation (CMC), and the intra-class correlation coefficients (ICC<i><sub>2,k</sub></i>). Results showed that the Kinect-based kinematics had an overall modest to poor correlation (CMC—less than 0.001 to 0.70) and an angle pattern similarity with Motion Analysis. After the calibration, RMSE on every degree of freedom decreased. The two calibration methods indicated similar levels of improvement in hip sagittal (CMC—0.81 ± 0.10 vs. 0.75 ± 0.22)/frontal (CMC—0.41 ± 0.35 vs. 0.42 ± 0.37) and knee sagittal kinematics (CMC—0.85±0.07 vs. 0.87 ± 0.12). The hip sagittal (CMC—0.97±0.05) and knee sagittal (CMC—0.88 ± 0.12) angle patterns showed a very good agreement over two days. Modest to excellent reliability (ICC<i><sub>2,k</sub></i>—0.45 to 0.93) for most parameters renders it feasible for observing ongoing changes in gait kinematics.https://www.mdpi.com/1424-8220/19/7/1660Kinectcerebral palsygait analysisreliabilityvaliditykinematics |
| spellingShingle | Yunru Ma Kumar Mithraratne Nichola C. Wilson Xiangbin Wang Ye Ma Yanxin Zhang The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy Sensors Kinect cerebral palsy gait analysis reliability validity kinematics |
| title | The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy |
| title_full | The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy |
| title_fullStr | The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy |
| title_full_unstemmed | The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy |
| title_short | The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy |
| title_sort | validity and reliability of a kinect v2 based gait analysis system for children with cerebral palsy |
| topic | Kinect cerebral palsy gait analysis reliability validity kinematics |
| url | https://www.mdpi.com/1424-8220/19/7/1660 |
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