Open Access
Open access

Enhancing Paralympic Athlete Performance: Kinematic Analysis and Computer Information Systems for Optimal Training Load Adjustment

Kamoliddin Shukurov 1
Mekhriddin Mirjamolov 2
Shokhrukhmirzo Kholdorov 1
Malikova Nodira 1
Publication typeBook Chapter
Publication date2025-01-24
scimago Q4
SJR0.143
CiteScore0.7
Impact factor
ISSN18761100, 18761119
Abstract
This article explores the possibility of preparing athletes for Paralympic competitions based on kinematic tests grounded in computer information systems. The study examines the effectiveness of adjusting training load volumes in athletes’ physical preparation and diagnosing based on specific indicators. One of the primary objectives for domain experts is to integrate methods and tools into the training process that yield significant results in a short timeframe. The outcomes of this research reveal the potentialities of kinematic analysis concerning the volume and intensity of selected loads for each phase of para-athletes’ preparation, as well as the methodology chosen for executing these loads.
Found 

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
0
Share
Cite this
GOST |
Cite this
GOST Copy
Shukurov K. et al. Enhancing Paralympic Athlete Performance: Kinematic Analysis and Computer Information Systems for Optimal Training Load Adjustment // Lecture Notes in Electrical Engineering. 2025. pp. 409-418.
GOST all authors (up to 50) Copy
Shukurov K., Mirjamolov M., Kholdorov S., Nodira M. Enhancing Paralympic Athlete Performance: Kinematic Analysis and Computer Information Systems for Optimal Training Load Adjustment // Lecture Notes in Electrical Engineering. 2025. pp. 409-418.
RIS |
Cite this
RIS Copy
TY - GENERIC
DO - 10.1007/978-981-97-4784-9_29
UR - https://link.springer.com/10.1007/978-981-97-4784-9_29
TI - Enhancing Paralympic Athlete Performance: Kinematic Analysis and Computer Information Systems for Optimal Training Load Adjustment
T2 - Lecture Notes in Electrical Engineering
AU - Shukurov, Kamoliddin
AU - Mirjamolov, Mekhriddin
AU - Kholdorov, Shokhrukhmirzo
AU - Nodira, Malikova
PY - 2025
DA - 2025/01/24
PB - Springer Nature
SP - 409-418
SN - 1876-1100
SN - 1876-1119
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2025_Shukurov,
author = {Kamoliddin Shukurov and Mekhriddin Mirjamolov and Shokhrukhmirzo Kholdorov and Malikova Nodira},
title = {Enhancing Paralympic Athlete Performance: Kinematic Analysis and Computer Information Systems for Optimal Training Load Adjustment},
publisher = {Springer Nature},
year = {2025},
pages = {409--418},
month = {jan}
}