title: Effect of walking speed on gait sub phase durations.
abstract: Gait phase durations are important spatiotemporal parameters in different contexts such as discrimination between healthy and pathological gait and monitoring of treatment outcomes after interventions. Although gait phases strongly depend on walking speed, the influence of different speeds has rarely been investigated in literature. In this work, we examined the durations of the stance sub phases and the swing phase for 12 different walking speeds ranging from 0.6 to 1.7 m/s in 21 healthy subjects using infrared cinematography and an instrumented treadmill. We separated the stance phase into loading response, mid stance, terminal stance and pre-swing phase and we performed regression modeling of all phase durations with speed to determine general trends. With an increasing speed of 0.1m/s, stance duration decreased while swing duration increased by 0.3%. All distinct stance sub phases changed significantly with speed. These findings suggest the importance of including all distinct gait sub phases in spatiotemporal analyses, especially when different walking speeds are involved.
authors.affiliation: Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Haberstrasse 2, 91058 Erlangen, Germany; Department of Trauma Surgery, University Hospital Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany; Institute of Sport Science and Sport, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Gebbertstrasse 123b, 91058 Erlangen, Germany. Electronic address: felix.hebenstreit@fau.de.
authors.forename: Felix
authors.initials: F
authors.lastname: Hebenstreit
authors.affiliation: Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Haberstrasse 2, 91058 Erlangen, Germany. Electronic address: andi.leibold@gmail.com.
authors.forename: Andreas
authors.initials: A
authors.lastname: Leibold
authors.affiliation: Department of Trauma Surgery, University Hospital Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany. Electronic address: sebastian.krinner@uk-erlangen.de.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Krinner
authors.affiliation: Department of Trauma Surgery, University Hospital Erlangen, Krankenhausstrasse 12, 91054 Erlangen, Germany. Electronic address: goetz.welsch@googlemail.com.
authors.forename: Götz
authors.initials: G
authors.lastname: Welsch
authors.affiliation: Institute of Sport Science and Sport, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Gebbertstrasse 123b, 91058 Erlangen, Germany. Electronic address: matthias.lochmann@fau.de.
authors.forename: Matthias
authors.initials: M
authors.lastname: Lochmann
authors.affiliation: Digital Sports Group, Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Haberstrasse 2, 91058 Erlangen, Germany. Electronic address: bjoern.eskofier@fau.de.
authors.forename: Bjoern M
authors.initials: BM
authors.lastname: Eskofier
mesh_terms: D000054:Acceleration; D005260:Female; D005684:Gait; D006801:Humans; D008297:Male; D012016:Reference Values; D062211:Spatio-Temporal Analysis; D016138:Walking; D055815:Young Adult
keywords: Gait; Gait cycle; Movement pattern; Spatiotemporal parameters; Velocity