Developing Heart Rate Monitoring system for Athletes using Fuzzy Clustering Approach
Yazarlar (7)
Laith Fouad Laith Al-Farahidi University, Irak
Mazin Riyadh Al-Hameed National University Of Science And Technology, Irak
Laith S. Ismail Al-Turath University, Irak
Sajad Ali Zearah Al-Ayen Iraqi University, Auıq, Irak
Maryam Ghassan Majeed Al-Kunooze University College, Irak
Mohd K. Abd Ghani Universiti Teknikal Malaysia Melaka, Malezya
Doç. Dr. Hatıra GÜNERHAN Kafkas Üniversitesi, Türkiye
Makale Türü Özgün Makale (SCOPUS dergilerinde yayınlanan tam makale)
Dergi Adı Journal of Intelligent Systems and Internet of Things
Dergi ISSN 2769-786X Scopus Dergi
Makale Dili İngilizce Basım Tarihi 01-2023
Cilt / Sayı / Sayfa 9 / 2 / 130–148 DOI 10.54216/JISIoT.090210
Makale Linki https://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=2769786X&AN=178103640&h=W1oJbQ6Ma9LZRRofm9SAq%2BkXOlvWcClXf9uZAJc67LOvRxgX82F4rRD%2Fhp%2B8WE6Qx4aU452As4W1fXzhwSbCeQ%3D%3D&crl=c
Özet
Athletes health monitoring plays a vital role because the changes in their heart rate reduce their physical activity and contribution. The changes in athlete activities cause developing risk that affects their outcome. Therefore, athletes' heart rates should be monitored frequently to minimize the risk factors and improve their health. This work uses wearable sensor devices to monitor their health condition continuously. The wearable devices on their health record their Electrocardiogram (ECG), which is transferred to the health care centre. With the help of the ECG, this work Sportsperson Heart Rate Monitoring (HRMS-SP) is created. The gathered ECG information is processed using the Fuzzy Clustering (FC) algorithm to predict the Heart Rate Variability (HRV). According to the HRV value, athlete's mental stress level and their sports contribution were also investigated to minimize the computation complexity. In addition …
Anahtar Kelimeler
Athletes heart monitoring | Big Data Analytics | Fuzzy Clustering | Hadoop | Heart Rate Variability
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 2
Scopus 2
Developing Heart Rate Monitoring system for Athletes using Fuzzy Clustering Approach

Paylaş