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Authors: Vladislav Bakayev and Alexander Bolotin

Affiliation: Institute of Physical Education, Sports and Tourism, Peter the Great St. Petersburg Polytechnic University, St. Petersburg and Russian Federation

Keyword(s): Adaptation to Load, Plantar Fasciitis, Foot Functions, Prevention Technique, Data Aggregation from Computer Diagnostics.

Abstract: In this paper, we discuss the solution of the task on justification of plantar fasciitis prevention technique based on data aggregation from computer diagnostics. It is found that the assessment of the degree of damages in a condition of the plantar surface of the trial subject’s foot that was made based on data aggregation from computer diagnostics in 3D format may be a basis for not only determining the disease extent but also for determining the necessary means, for special training, as well as for regulating a load on feet during the recovery of the foot functions. When using the plantar fasciitis prevention technique based on data aggregation from computer diagnostics, it is revealed that in conditions of its occurrence in an athlete, the two-phase dynamics of change of the foot condition indicators had been registered: the initial decline in functions followed by their increase to the original positions. This evidences the high efficiency of plantar fasciitis prevention techniq ue based on data aggregation from computer diagnostics. (More)

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Paper citation in several formats:
Bakayev, V. and Bolotin, A. (2018). Plantar Fasciitis Prevention Technique based on Data Aggregation from Computer Diagnostics. In Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS; ISBN 978-989-758-325-4; ISSN 2184-3201, SciTePress, pages 106-110. DOI: 10.5220/0006892601060110

@conference{icsports18,
author={Vladislav Bakayev. and Alexander Bolotin.},
title={Plantar Fasciitis Prevention Technique based on Data Aggregation from Computer Diagnostics},
booktitle={Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS},
year={2018},
pages={106-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006892601060110},
isbn={978-989-758-325-4},
issn={2184-3201},
}

TY - CONF

JO - Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS
TI - Plantar Fasciitis Prevention Technique based on Data Aggregation from Computer Diagnostics
SN - 978-989-758-325-4
IS - 2184-3201
AU - Bakayev, V.
AU - Bolotin, A.
PY - 2018
SP - 106
EP - 110
DO - 10.5220/0006892601060110
PB - SciTePress