Self-paced treadmill controller algorithm based on position and speed of centre of mass

Background Self-paced treadmills are increasingly used in clinical and research settings. Using self-paced (SP) treadmills, researchers can simulate overground walking while participants can walk with different but comfortable gait speeds in a controlled environment. Several algorithms have been des...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:bioRxiv
Hauptverfasser: Mokhtarzadeh, Hossein, Richards, Rosie, Geijtenbeek, Thomas
Format: Paper
Sprache:Englisch
Veröffentlicht: Cold Spring Harbor Cold Spring Harbor Laboratory Press 25.06.2022
Cold Spring Harbor Laboratory
Ausgabe:1.1
Schlagworte:
Algorithms
Bioengineering
Cameras
Fitness equipment
Gait
Biomechanics
Self-paced algorithm
Gait
Treadmill
ISSN:2692-8205, 2692-8205
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Background Self-paced treadmills are increasingly used in clinical and research settings. Using self-paced (SP) treadmills, researchers can simulate overground walking while participants can walk with different but comfortable gait speeds in a controlled environment. Several algorithms have been designed for self-paced treadmills based on data from force plates, motion capture, and even markerless systems such as 3D depth cameras. Methods We present a non-linear controller that implements a self-paced algorithm integrated with treadmills. This algorithm uses the subject centre-of-mass (CoM) position and velocity, relative to the front and back end of the treadmill as inputs. The controller continuously adjusts the treadmill belt speed via belt acceleration. The algorithm attempts to prevent the subject reaching the front and back of treadmill via minimal treadmill acceleration. Findings This method has been safely used in previous studies with over 410 subjects in various populations. We simulated the use of the SP algorithm with three different sensitivities (0.2, 1 and 2). The belt speed predicted by algorithm simulation in matched well with the belt speeds of experiments in (Gait Realtime Analysis Interactive Lab (GRAIL) system. Interpretation This algorithm is integrated with a VR environment in which the subject can be immersed and even be mechanically perturbed. Additionally, this algorithm can be implemented in other treadmills where CoM position is known. We encourage researchers to use and build upon our well-established SP algorithm toward a more standardized SP algorithm in different gait scenarios across various instrumented treadmills with different populations. Competing Interest Statement This algorithm is part of Motek devices and is commercially available.
Bibliographie:SourceType-Working Papers-1
ObjectType-Working Paper/Pre-Print-1
content type line 50
Competing Interest Statement: This algorithm is part of Motek devices and is commercially available.
ISSN:2692-8205
2692-8205
DOI:10.1101/2022.06.21.496740