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The mechanisms and mechanical energy of human gait initiation from the lower-limb joint level perspective

Zhao, Guoping ; Grimmer, Martin ; Seyfarth, Andre (2024)
The mechanisms and mechanical energy of human gait initiation from the lower-limb joint level perspective.
In: Scientific Reports, 2021, 11 (1)
doi: 10.26083/tuprints-00023609
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: The mechanisms and mechanical energy of human gait initiation from the lower-limb joint level perspective
Language: English
Date: 30 September 2024
Place of Publication: Darmstadt
Year of primary publication: 18 November 2021
Place of primary publication: London
Publisher: Springer Nature
Journal or Publication Title: Scientific Reports
Volume of the journal: 11
Issue Number: 1
Collation: 12 Seiten
DOI: 10.26083/tuprints-00023609
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

This study aims to improve our understanding of gait initiation mechanisms and the lower-limb joint mechanical energy contributions. Healthy subjects were instructed to initiate gait on an instrumented track to reach three self-selected target velocities: slow, normal and fast. Lower-limb joint kinematics and kinetics of the first five strides were analyzed. The results show that the initial lateral weight shift is achieved by hip abduction torque on the lifting leg (leading limb). Before the take-off of the leading limb, the forward body movement is initiated by decreasing ankle plantarflexion torque, which results in an inverted pendulum-like passive forward fall. The hip flexion/extension joint has the greatest positive mechanical energy output in the first stride of the leading limb, while the ankle joint contributes the most positive mechanical energy in the first stride of the trailing limb (stance leg). Our results indicate a strong correlation between control of the frontal plane and the sagittal plane joints during gait initiation. The identified mechanisms and the related data can be used as a guideline for improving gait initiation with wearable robots such as exoskeletons and prostheses.

Uncontrolled Keywords: Biomedical engineering, Motor control, Musculoskeletal system, Scientific data
Identification Number: Artikel-ID: 22473
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-236091
Classification DDC: 600 Technology, medicine, applied sciences > 610 Medicine and health
700 Arts and recreation > 796 Sports
Divisions: 03 Department of Human Sciences > Institut für Sportwissenschaft > Sportbiomechanik
Zentrale Einrichtungen > Centre for Cognitive Science (CCS)
Date Deposited: 30 Sep 2024 08:27
Last Modified: 31 Oct 2024 06:39
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23609
PPN: 522845509
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