Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

Postural Balance for Selection of Martial Artists Using Machine Learning Techniques

Year: 1400
COI: JR_JEHS-1-2_007
Language: EnglishView: 33
This Paper With 10 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 10 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

Muhammad Manshadi - Alborz University of Medical Sciences, Karaj, Iran
Ehsan Ranjbar - BSc Graduate in Biomedical Engineering. MSc Graduate in Electrical Engineering, Amirkabir University of Technology Tehran, Iran
Reyhaneh Ghasab Sedehi - Former Biomedical Engineering Expert, Department of Medical Equipment, ABZUMS, Karaj, Iran.
Navid Hassani - Medical Lab Sciences Technologist, Head of the Department of Medical Equipment, ABZUMS, Karaj, Iran.
Nader Jafarnia Dabanloo - Department of Biomedical Engineering, Islamic Azad University (IAU), Science and Research Branch, Tehran, Iran

Abstract:

Objectives: The purpose of this study was to classify participants, according to balance test scores, and to detect martial art athletes.Design: Measures of static and dynamic balance indices were obtained from ۴ tests.Setting: This research took place at a secondary school in Iran.Participants: Fifty healthy volunteers participated in this experiment.Main outcome measures: Due to differences in power and different pressures applied on joints and muscles, athletes in different sports and also non-athletes may have different grades in balance tests. There isn’t enough information on specific or non-specific balance in sports.Results: Balance test scores were used for inputs of classifiers where the applied methods included the support vector machine, k-nearest neighbors algorithm, and artificial neural network. Only by the result of ۴ tests, detection accuracy of ۹۰.۵% was achieved.Conclusion: Balance indices are good features for detection of martial art athletes. This may also be useful for talent identification in martial arts.

Keywords:

Paper COI Code

This Paper COI Code is JR_JEHS-1-2_007. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1487747/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Manshadi, Muhammad and Ranjbar, Ehsan and Ghasab Sedehi, Reyhaneh and Hassani, Navid and Jafarnia Dabanloo, Nader,1400,Postural Balance for Selection of Martial Artists Using Machine Learning Techniques,https://civilica.com/doc/1487747

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: علوم پزشکی
Paper count: 1,005
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

Support