Araştırma Makalesi

Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266

Cilt: 15 Sayı: 1 1 Temmuz 2025
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Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266

Öz

The Covid-19 pandemic, declared a global pandemic by the World Health Organization, has adversely affected nearly everyone physically, mentally, and socially. During this period, an increase in cardiovascular diseases has been observed, attributed to factors such as changes in dietary habits, physical inactivity due to staying at home, increased consumption of frozen processed food, psychological stress, lack of social interaction, and consequently, rising alcohol and tobacco consumption. This has led to a significant increase in cardiologists' workload and a shift from traditional technologies to remote patient monitoring models. In this context, remote Electrocardiogram (ECG) monitoring-based approaches have become widely used in recent years for the detection of heart diseases, owing to their reliability and non-invasive nature. This study introduces an SMTP-based tele-monitoring approach that facilitates remote monitoring of ECG signals and supports a medical simulator, aiming to alleviate the workload of healthcare professionals. The primary objective of this research is to develop a wireless monitoring framework for ECG signals, aiming to enhance patient monitoring and safety, reduce the workload of healthcare providers, and ensure equitable access to healthcare services. Our research focuses on implementing a portable, real-time, and cost-effective ECG monitoring system.

Anahtar Kelimeler

Destekleyen Kurum

The research conducted in this study received support from the Coordinatorship of Ondokuz Mayıs University's Scientific Research Projects in Samsun, Turkey. The project was identified by the project number PYO.YMY.1908.22.004.

Proje Numarası

PYO.YMY.1908.22.004

Etik Beyan

All procedures carried out in studies involving human participants adhered to the ethical standards set by the institutional and national research committee. The study also conformed to the principles outlined in the 1964 Helsinki Declaration and its subsequent amendments or comparable ethical standards.

Teşekkür

This study competed as a finalist in the TEKNOFEST 2023 Artificial Intelligence in Health Competition in the University and Above Level Medical Technologies Category. Thank you for your interest

Kaynakça

  1. [1] Chang, Wei-Ting et al., Cardiac Involvement of COVID-19: A Comprehensive Review, The American Journal of the Medical Sciences, 361 (2021), 1, pp.14-22. DOI: https://doi.org/10.1016/j.amjms.2020.10.002
  2. [2] Xu, Z. ∙ Shi, L. ∙ Wang, Y., Pathological findings of COVID-19 associated with acute respiratory distress syndrome Lancet Respir Med. 8 (2020), pp.420-422, DOI: 10.1016/S2213-2600(20)30076-X
  3. [3] Chen, T. Wu, D. Chen, H., Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study, BMJ. 2020; 368:m1091, DOI: 10.1136/bmj.m1295
  4. [4] Hamdy RM, Samy M, Mohamed HS. Clinical utility of ambulatory ECG monitoring and 2D-ventricular strain for evaluation of post-COVID-19 ventricular arrhythmia. BMC Cardiovasc Disord. (2024) 16;24(1):429. DOI:10.1186/s12872-024-03982-0.
  5. [5] Singh, A.K., Krishnan, S. ECG signal feature extraction trends in methods and applications. BioMed Eng OnLine 1, (2023), 22. DOI:10.1186/s12938-023-01075-1
  6. [6] Hernando-Ramiro, C., Lovisolo, L., Cruz-Roldán, F. et al. Matching Pursuit Decomposition on Electrocardiograms for Joint Compression and QRS Detection. Circuits Syst Signal Process 38(2019), pp.2653–2676. DOI:10.1007/s00034-018-0986-2
  7. [7] Xie, J., Peng, L., Wei, L. et al. A signal quality assessment–based ECG waveform delineation method used for wearable monitoring systems. Med Biol Eng Comput 59(2021), pp.2073–2084. DOI:10.1007/s11517-021-02425-8
  8. [8] Aziz, S., Ahmed, S. & Alouini, MS. ECG-based machine-learning algorithms for heartbeat classification. Sci Rep 11, 18738 (2021). DOI:10.1038/s41598-021-97118-5

Ayrıntılar

Birincil Dil

İngilizce

Konular

Biyoelektronik, Biyomühendislik (Diğer)

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

1 Temmuz 2025

Yayımlanma Tarihi

1 Temmuz 2025

Gönderilme Tarihi

5 Haziran 2024

Kabul Tarihi

15 Ocak 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 15 Sayı: 1

Kaynak Göster

APA
Sümbül, H. (2025). Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266. European Journal of Technique (EJT), 15(1), 15-20. https://doi.org/10.36222/ejt.1496616
AMA
1.Sümbül H. Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266. EJT. 2025;15(1):15-20. doi:10.36222/ejt.1496616
Chicago
Sümbül, Harun. 2025. “Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266”. European Journal of Technique (EJT) 15 (1): 15-20. https://doi.org/10.36222/ejt.1496616.
EndNote
Sümbül H (01 Temmuz 2025) Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266. European Journal of Technique (EJT) 15 1 15–20.
IEEE
[1]H. Sümbül, “Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266”, EJT, c. 15, sy 1, ss. 15–20, Tem. 2025, doi: 10.36222/ejt.1496616.
ISNAD
Sümbül, Harun. “Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266”. European Journal of Technique (EJT) 15/1 (01 Temmuz 2025): 15-20. https://doi.org/10.36222/ejt.1496616.
JAMA
1.Sümbül H. Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266. EJT. 2025;15:15–20.
MLA
Sümbül, Harun. “Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266”. European Journal of Technique (EJT), c. 15, sy 1, Temmuz 2025, ss. 15-20, doi:10.36222/ejt.1496616.
Vancouver
1.Harun Sümbül. Design of A Novel IoT Based Mobile ECG Data Transmission System using ESP8266. EJT. 01 Temmuz 2025;15(1):15-20. doi:10.36222/ejt.1496616