| Title |
Digital approaches to lowerlimb prosthesis optimization |
| Authors |
Daublys, Donatas ; Dubosienė, Milda ; Sinkutė, Birutė ; Domeika, Aurelijus |
| DOI |
10.18690/um.fov.3.2026.11 |
| ISBN |
9789612991241 |
| Full Text |
|
| Is Part of |
45th international conference on organizational science development: organization and the longevity society: conference proceedings = 45. mednarodna konferenca o razvoju organizacijskih znanosti Organizacija in dolgoživa družba: Konferenčni zbornik / uredniki / editors: Polona Šprajc, et al... Maribor : University of Maribor press, 2026. p. 147-158.. ISBN 9789612991241 |
| Keywords [eng] |
Lower-limb prosthesis optimization ; musculoskeletal modeling ; technology-assisted rehabilitation. |
| Abstract [eng] |
Lower-limb prosthesis optimization remains a complex clinical challenge, as gait compensations and alignment-related deviations are often difficult to identify through only visual assessment. This paper demonstrates how integrated digital gait assessment can provide objective, clinically relevant insight into prosthesisrelated movement patterns. A laboratory study was conducted using marker-based motion capture, ground reaction force measurement, and treadmill-based plantar pressure analysis to characterize gait kinematics, kinetics, and load distribution during walking and stance. The results reveal multi-segment compensations involving pelvic control, transverse-plane knee motion, ankle–foot function, and asymmetric weight-bearing strategies. To extend descriptive findings toward mechanistic understanding, an OpenSim-based musculoskeletal modeling workflow is introduced as a decision-support pipeline for jointlevel interpretation. Together, the results illustrate how complementary digital methods can support evidence-based prosthesis fitting and alignment decisions, while highlighting a practical pathway toward scalable, technology-assisted rehabilitation workflows. |
| Published |
Maribor : University of Maribor press, 2026 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2026 |
| CC license |
|
