Review Article
Knee Joint Biomechanical Gait Data Classification for Knee Pathology Assessment: A Literature Review
Table 1
Knee joint biomechanical gait data classification-related studies.
| Study | Pathology | Population | Biomechanical variables | Data acquisition | Feature Ext/select | Classification | Acc |
| [64] | ACL | 20 ACL 26 injured knees | EMG | PDP 11/23 minicomputer | Fourier transform | K-means | — | [51] | OA | 50 OA 63 AS | Spatiotemporal data Kinematics Kinetics | Optoelectronic measurement system Force plate | Global rep. PCA | LDA | 94% | [38] | OA | 35 OA 107 AS | Kinematics | 3D knee analyzer | Local rep. | ANOVA | — | [39] | OA | 12 OA 7 AS | Acceleration data Kinematics Kinetics | Vicon motion analysis system Force sensor integrated treadmill triaxial gyroscopes and accelerometers | Local rep. | LDA | 87.9% | [40] | OA | 15 OA 15 AS | Spatiotemporal data Kinematics Kinetics | Optoelectronic measurement system Force plate | Local rep. | DST | 96.7% | [41] | OA | 20 OA 25 AS | Spatiotemporal data Kinematics Kinetics | Optoelectronic measurement system Force plate | Local rep. | DST | — | [74] | OA | 110OA 91 AS | Spatiotemporal data Kinematics Kinetics | Vicon motion analysis system | — | MLP | 98.5% | [52] | OA | 50OA 63AS | Kinematics Kinetics | Optoelectronic measurement system Force plate | Global rep. PCA | LDA | 92% | [42] | PFPS-OA | 13PFPS 5OA 20 PKR | Kinetics | Kistler force platform | Local rep. Hill-climbing algorithm | SVM | 85-92% | [69] | OA | 11 OA 12 AS | Spatiotemporal data | Vicon motion analysis system GAITRite system | Hill-climbing algorithm | SVM | 94.2% | [53] | OA | 20 OA 22 AS | Kinematics Kinetics | Optoelectronic measurement system Force plate | Global rep. PCA | DST | 97.62% | [60] | OA | 26OA 16AS | Kinetics | Kistler force platforms | Global representation WT | NN | 91% | [59] | OA | 26 OA 16 AS | Kinetics | Kistler force platforms integrated to an ADAL treadmill | Global rep. WT | NNC | 90% | [68] | OA | 11 OA 12 AS | Spatiotemporal data | Vicon motion analysis system GAITRite system | Hill-climbing algorithm | SVM | 88.89% | [70] | OA | 24 OA 12 AS | Kinetics | Bertec platform | Wavelet packet based on the Fuz-Coc | DT-SVM | 93.44% | [37] | OA | 30 OA 14 AS | Kinematics | KneeKG | Local rep. Global rep. | SVD | 77.27% 93.18% | [61] | ACL | 29 ACL 15 AS | Kinematics Kinetics | ADAL treadmill Vicon motion analysis system | Global rep. WT | NNC | 83.2% | [49] | OA | 30 OA 14 AS | Kinematics | KneeKG | Global rep. | SVD | 93.1% | [56] | ACL-R | 6 ACL-R 10 AS | Kinematics | Four cameras motion analysis system (Innovision) | Global rep. PCA | LR | 93.75% | [43] | OA | 18 KS 20 non-KS | Kinematics | KneeKG | Local rep. | Student’s -test | — | [57] | AS | 111 AS | Kinematics | KneeKG | Global rep. PCA | Discriminant model based on PCs’ sign | — | [66] | OA | 2,900 OA | Spatiotemporal data | Computerized walking mat | — | CART | 89.5%–90.8% | [67] | OA | 2,911 OA | Spatiotemporal data | Computerized walking mat | — | CART | 89.5%–90.8% | [72] | OA | 47 OA 133 AS | Kinetics | Kistler force plates | Probabilistic PCA | Bayes classifier | 82.62% | [73] | OA | 25 KS 25 non-KS 29 OA | Kinematics | KneeKG | — | Bayes classifier | — | [46] | OA | 44 S 40 non-S | Kinematics | KneeKG | Local rep. | CART | 84.7% | [48] | OA | 100 OA | Kinematics | KneeKG | Local rep. | RTs | 88% | [71] | ACL | 7 ACL 7 AS | Kinematics | Vicon motion analysis system | PCA | SVM | 100% | [47] | OA | 100 OA 40 AS | Kinematics | KneeKG | Local rep. | RTs | 85% | [65] | AS | 165 AS | Kinematics | KneeKG | Isometric mapping | DBSCAN algorithm | — | [62] | OA | 63 OA | Kinematics | KneeKG | WT | Kohonen neural network | 90.47% |
|
|