6533b85afe1ef96bd12b9fd2

RESEARCH PRODUCT

Let the machine do the work: learning to reduce the energetic cost of walking on a split‐belt treadmill

Neil J. Cronin

subject

0301 basic medicineExploitGV557_SportsPhysiologybusiness.industryComputer scienceWork (physics)QP301.H75_Physiology._Sport.Energetic costWalkingMetabolic costArticleExoskeleton03 medical and health sciences030104 developmental biology0302 clinical medicineHuman–computer interactionExercise TestEnergy costSplit belt treadmillLearningbusiness030217 neurology & neurosurgeryWearable technology

description

In everyday tasks such as walking and running, we often exploit the work performed by external sources to reduce effort. Recent research has focused on designing assistive devices capable of performing mechanical work to reduce the work performed by muscles and improve walking function. The success of these devices relies on the user learning to take advantage of this external assistance. Although adaptation is central to this process, the study of adaptation is often done using approaches that seem to have little in common with the use of external assistance. We show in 16 young, healthy participants that a common approach for studying adaptation, split-belt treadmill walking, can be understood from a perspective in which people learn to take advantage of mechanical work performed by the treadmill. Initially, during split-belt walking, people step further forward on the slow belt than the fast belt which we measure as a negative step length asymmetry, but this asymmetry is reduced with practice. We demonstrate that reductions in asymmetry allow people to extract positive work from the treadmill, reduce the positive work performed by the legs, and reduce metabolic cost. We also show that walking with positive step length asymmetries, defined by longer steps on the fast belt, minimizes metabolic cost, and people choose this pattern after guided experience of a wide range of asymmetries. Our results suggest that split-belt adaptation can be interpreted as a process by which people learn to take advantage of mechanical work performed by an external device to improve economy.

10.1113/jp278459https://eprints.glos.ac.uk/8935/1/8935-Cronin-(2019)-Let-the-machine-do-the-work.pdf