Feature extraction and gait classification in hip replacement patients on the basis of kinematic waveform data

Biomedical Human Kinetics

卷:13

Taetz Bertram¹  Dindorf Carlo²  Becker Stephan²  Fröhlich Michael²  Teufl Wolfgang³  Bleser Gabriele⁴ 

[1] Department Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany;

[2] Department of Sports Science, Technische Universität Kaiserslautern,Kaiserslautern, Germany;

[3] IFFB Sport and Movement Science, Paris Lodron UniversitySalzburg, Austria;

[4] Junior Research Group wearHEALTH, Technische Universität Kaiserslautern, Kaiserslautern, Germany;

关键词: classification;    total hip arthroplasty;    feature selection;    dimensionality reduction;   

DOI  :  10.2478/bhk-2021-0022

来源: DOAJ

【 摘 要 】

Study aim: To find out, without relying on gait-specific assumptions or prior knowledge, which parameters are most important for the description of asymmetrical gait in patients after total hip arthroplasty (THA).

【 授权许可】

Unknown