TY - JOUR
T1 - Update klinische Ganganalyse
T2 - Aktuelle Entwicklungen und Einsatzmöglichkeiten
AU - Brand, Andreas
AU - Alexander, Nathalie
AU - Bauer, Leandra
AU - Boehm, Harald
AU - Stief, Felix
AU - van Drongelen, Stefan
AU - Wolf, Sebastian I.
AU - Trinler, Ursula
N1 - Brandl: Lehr-KH Institut für Biomechanik, BG Unfallklinik Murnau, Murnau, Deutschland; Paracelsus Medizinische Privatuniversität Salzburg, Salzburg, Österreich
PY - 2024/6/7
Y1 - 2024/6/7
N2 - The objective acquisition and assessment of joint movements and loads using instrumented gait analysis has become an established tool in clinical diagnostics. In particular, marker-based 3D gait analyses make use of an increasingly comprehensive database for the assessment of orthopaedic or neurological questions. Based on this data and medical-scientific experience, increasingly reliable approaches and evaluation strategies are emerging, which also draw on methods from artificial intelligence and musculoskeletal modelling. This article focusses on marker-based gait analyses of the lower extremity (hip, knee, foot) and how these can be used in a clinically relevant way using current methods, e.g. for determining indications or optimization of surgical planning. Finally, current developments and applications by using alternative methods from sensor technology and optical motion capture will be briefly discussed.
AB - The objective acquisition and assessment of joint movements and loads using instrumented gait analysis has become an established tool in clinical diagnostics. In particular, marker-based 3D gait analyses make use of an increasingly comprehensive database for the assessment of orthopaedic or neurological questions. Based on this data and medical-scientific experience, increasingly reliable approaches and evaluation strategies are emerging, which also draw on methods from artificial intelligence and musculoskeletal modelling. This article focusses on marker-based gait analyses of the lower extremity (hip, knee, foot) and how these can be used in a clinically relevant way using current methods, e.g. for determining indications or optimization of surgical planning. Finally, current developments and applications by using alternative methods from sensor technology and optical motion capture will be briefly discussed.
KW - Artificial intelligence
KW - Biomechanics
KW - Lower extremity
KW - Motion capture
KW - Orthopedic procedures
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pmu_pure&SrcAuth=WosAPI&KeyUT=WOS:001243291700002&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1007/s00132-024-04516-4
DO - 10.1007/s00132-024-04516-4
M3 - Übersichtsarbeit
C2 - 38847874
SN - 2731-7145
JO - ORTHOPADIE
JF - ORTHOPADIE
ER -