Biofeedback based on mobile accelerometry to improve running in space – ideas and first results
- Published
- Accepted
- Subject Areas
- Bioinformatics, Anatomy and Physiology, Computational Science
- Keywords
- on Mobile Accelerometry, Biofeedback, Running in Space, actibelt, Running Styles
- Copyright
- © 2016 Daumer et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Biofeedback based on mobile accelerometry to improve running in space – ideas and first results. PeerJ Preprints 4:e2143v1 https://doi.org/10.7287/peerj.preprints.2143v1
Abstract
Background – actibelt technology – a 3D accelerometer in a belt buckle and a package of algorithms, mainly used in international multi centre clinical trials – has also been evaluated for various applications in space, moon and mars in a series of studies and projects since roughly 10 years (2 parabola flight campaigns by ESA, 1 parabola flight campaign by NASA, mars 500).
Aim – To develop a training feedback application which compares the similarity of running parameters under artificial gravity conditions with natural running on earth.
Methods - We use an actibelt BLU2, a version of the actibelt with bluetooth transmission capability, an android tablet with internet access and R packages to visualize and quantify acceleration patterns. Data, including video documentation in some cases, was collected from various runners (marathon, mountain runs, B2run) and various running styles. Written informed consent was obtained.
Results: We have developed an application running on an android tablet. It displays an overview of the projections of the accelerometry pattern of the individual steps in the sagittal plane as well as a summary measure for the mean area per step. There are clear differences between extremes of running style (heel strike overstriding vs. forefoot) both in the area and the shape of the curve.
Discussion/Conclusion: We speculate that online-biofeedback of the acceleration patterns and extracted parameters could advise astronauts during their treadmill training how to best adapt their running style as to optimally avoid loss of bone mineral density. As with running on earth also footwear – with or without heel cushioning, minimal footwear, barefoot – may play an important role.
Author Comment
This abtract has been presented at the Joint ESA / ISGP / CNES Life Science Symposium in Toulouse France, June 2016. This abstract is Part of the PeerJ Collection "The Human Motion Project".