Literature DB >> 12692139

A feedback-controlled treadmill (treadmill-on-demand) and the spontaneous speed of walking and running in humans.

Alberto E Minetti1, Lorenzo Boldrini, Laura Brusamolin, Paola Zamparo, Tom McKee.   

Abstract

A novel apparatus, composed by a controllable treadmill, a computer, and an ultrasonic range finder, is here proposed to help investigation of many aspects of spontaneous locomotion. The acceleration or deceleration of the subject, detected by the sensor and processed by the computer, is used to accelerate or decelerate the treadmill in real time. The system has been used to assess, in eight subjects, the self-selected speed of walking and running, the maximum "reasonable" speed of walking, and the minimum reasonable speed of running at different gradients (from level up to +25%). This evidenced the speed range at which humans neither walk nor run, from 7.2 +/- 0.6 to 8.4 +/- 1.1 km/h for level locomotion, slightly narrowing at steeper slopes. These data confirm previous results, obtained indirectly from stride frequency recordings. The self-selected speed of walking decreases with increasing gradient (from 5.0 +/- 0.8 km/h at 0% to 3.0 +/- 0.9 km/h at +25%) and seems to be approximately 30% higher than the speed that minimizes the metabolic energy cost of walking, obtained from the literature, at all the investigated gradients. The advantages, limitations, and potential applications of the newly proposed methodology in physiology, biomechanics, and pathology of locomotion are discussed in this paper.

Entities:  

Mesh:

Year:  2003        PMID: 12692139     DOI: 10.1152/japplphysiol.00128.2003

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  28 in total

1.  Gait transition cost in humans.

Authors:  James R Usherwood; John E A Bertram
Journal:  Eur J Appl Physiol       Date:  2003-10-17       Impact factor: 3.078

2.  Gait selection in the ostrich: mechanical and metabolic characteristics of walking and running with and without an aerial phase.

Authors:  Jonas Rubenson; Denham B Heliams; David G Lloyd; Paul A Fournier
Journal:  Proc Biol Sci       Date:  2004-05-22       Impact factor: 5.349

3.  Internal tibial rotation during in vivo, dynamic activity induces greater sliding of tibio-femoral joint contact on the medial compartment.

Authors:  Yuichi Hoshino; Scott Tashman
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-10-25       Impact factor: 4.342

4.  Development of a VR-based treadmill control interface for gait assessment of patients with Parkinson's disease.

Authors:  Hyung-Soon Park; Jung Won Yoon; Jonghyun Kim; Kazumi Iseki; Mark Hallett
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

5.  A Feedback-Controlled Interface for Treadmill Locomotion in Virtual Environments.

Authors:  Lee Lichtenstein; James Barabas; Russell L Woods; Eli Peli
Journal:  ACM Trans Appl Percept       Date:  2007-01       Impact factor: 1.550

6.  Joint kinematics and kinetics of overground accelerated running versus running on an accelerated treadmill.

Authors:  Ine Van Caekenberghe; Veerle Segers; Peter Aerts; Patrick Willems; Dirk De Clercq
Journal:  J R Soc Interface       Date:  2013-05-15       Impact factor: 4.118

7.  Effect of load and speed on the energetic cost of human walking.

Authors:  G J Bastien; P A Willems; B Schepens; N C Heglund
Journal:  Eur J Appl Physiol       Date:  2005-01-14       Impact factor: 3.078

8.  Optimal pacing and carbohydrate intake strategies for ultramarathons.

Authors:  Kristopher A Pruitt; Justin M Hill
Journal:  Eur J Appl Physiol       Date:  2017-10-17       Impact factor: 3.078

9.  Reliability of a Feedback-Controlled Treadmill Algorithm Dependent on the User's Behavior.

Authors:  Casey Wiens; Will Denton; Molly Schieber; Ryan Hartley; Vivien Marmelat; Sara Myers; Jennifer Yentes
Journal:  IEEE Int Conf Electro Inf Technol       Date:  2017-10-02

10.  Walking speed changes in response to novel user-driven treadmill control.

Authors:  Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  J Biomech       Date:  2018-07-29       Impact factor: 2.712

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