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.

StudyPathologyPopulationBiomechanical variablesData acquisitionFeature Ext/selectClassificationAcc

[64]ACL20 ACL
26 injured knees
EMGPDP 11/23 minicomputerFourier transformK-means
[51]OA50 OA
63 AS
Spatiotemporal data
Kinematics
Kinetics
Optoelectronic measurement system
Force plate
Global rep.
PCA
LDA94%
[38]OA35 OA
107 AS
Kinematics3D knee analyzerLocal rep.ANOVA
[39]OA12 OA
7 AS
Acceleration data
Kinematics
Kinetics
Vicon motion analysis system
Force sensor integrated treadmill triaxial gyroscopes and accelerometers
Local rep.LDA87.9%
[40]OA15 OA
15 AS
Spatiotemporal data
Kinematics
Kinetics
Optoelectronic measurement system
Force plate
Local rep.DST96.7%
[41]OA20 OA
25 AS
Spatiotemporal data
Kinematics
Kinetics
Optoelectronic measurement system
Force plate
Local rep.DST
[74]OA110OA
91 AS
Spatiotemporal data
Kinematics
Kinetics
Vicon motion analysis systemMLP98.5%
[52]OA50OA
63AS
Kinematics
Kinetics
Optoelectronic measurement system
Force plate
Global rep.
PCA
LDA92%
[42]PFPS-OA13PFPS
5OA
20 PKR
KineticsKistler force platformLocal rep.
Hill-climbing algorithm
SVM85-92%
[69]OA11 OA
12 AS
Spatiotemporal dataVicon motion analysis system
GAITRite system
Hill-climbing algorithmSVM94.2%
[53]OA20 OA
22 AS
Kinematics
Kinetics
Optoelectronic measurement system
Force plate
Global rep.
PCA
DST97.62%
[60]OA26OA
16AS
KineticsKistler force platformsGlobal representation
WT
NN91%
[59]OA26 OA
16 AS
KineticsKistler force platforms integrated to an ADAL treadmillGlobal rep.
WT
NNC90%
[68]OA11 OA
12 AS
Spatiotemporal dataVicon motion analysis system
GAITRite system
Hill-climbing algorithmSVM88.89%
[70]OA24 OA
12 AS
KineticsBertec platformWavelet packet based on the Fuz-CocDT-SVM93.44%
[37]OA30 OA
14 AS
KinematicsKneeKGLocal rep.
Global rep.
SVD77.27%
93.18%
[61]ACL29 ACL
15 AS
Kinematics
Kinetics
ADAL treadmill
Vicon motion analysis system
Global rep.
WT
NNC83.2%
[49]OA30 OA
14 AS
KinematicsKneeKGGlobal rep.SVD93.1%
[56]ACL-R6 ACL-R
10 AS
KinematicsFour cameras motion analysis system (Innovision)Global rep.
PCA
LR93.75%
[43]OA18 KS
20 non-KS
KinematicsKneeKGLocal rep.Student’s -test
[57]AS111 ASKinematicsKneeKGGlobal rep.
PCA
Discriminant model based on PCs’ sign
[66]OA2,900 OASpatiotemporal dataComputerized walking matCART89.5%–90.8%
[67]OA2,911 OASpatiotemporal dataComputerized walking matCART89.5%–90.8%
[72]OA47 OA
133 AS
KineticsKistler force platesProbabilistic PCABayes classifier82.62%
[73]OA25 KS
25 non-KS
29 OA
KinematicsKneeKGBayes classifier
[46]OA44 S
40 non-S
KinematicsKneeKGLocal rep.CART84.7%
[48]OA100 OAKinematicsKneeKGLocal rep.RTs88%
[71]ACL7 ACL
7 AS
KinematicsVicon motion analysis systemPCASVM100%
[47]OA100 OA
40 AS
KinematicsKneeKGLocal rep.RTs85%
[65]AS165 ASKinematicsKneeKGIsometric mappingDBSCAN algorithm
[62]OA63 OAKinematicsKneeKGWTKohonen neural network90.47%