EN
Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students
Öz
This case study demonstrates the potential of integrating the Edge Impulse platform into project based learning for biomedical technology students for edge computing consept. The use of the Edge Impulse platform as a project-based teaching and learning approach for biomedical students has been shown to significantly enhance student learning performance and experiences. The platform allows students to develop practical skills and deepen their knowledge while also providing opportunities for students to apply their projects in real-world settings. This study provides valuable insights on how to effectively improve learning for biomedical students using the Edge Impulse platform. The study focuses on a course designed using the Edge Impulse platform, where students design and develop prototype devices and systems. The course begins with the learning of basic hardware and culminates in students creating a complete prototype system. The study showcases the prototype devices and systems developed by students at the end of the course, demonstrating how the use of Edge Impulse platform improves students’ practical skills and enables them to apply their projects in real-world settings. Furthermore, it highlights how this approach contributes to students’ self-development and acquisition of skills that can be used in their future careers. Thus, the use of this platform can lead to new ideas and experiences which may open new horizons for biomedical research and the development of integrated devices in the current world.
Anahtar Kelimeler
Kaynakça
- [1] S. Chen et al., ‘‘Internet of things based smart grids supported by intelligent edge computing,’’ IEEE Access, vol. 7, pp. 74 089–74 102, 2019.
- [2] M. Hartmann, U. S. Hashmi, and A. Imran, ‘‘Edge computing in smart health care systems: Review, challenges, and research directions,’’ Trans. Emerg. Telecommun. Technol., vol. 33, no. 3, p. e3710, 2022.
- [3] Z. Ning et al., ‘‘Mobile edge computing enabled 5g health monitoring for internet of medical things: A decentralized game theoretic approach,’’ IEEE J. Sel. Areas Commun., vol. 39, no. 2, pp. 463–478, 2020.
- [4] S. S. Tripathy et al., ‘‘A novel edge-computing-based framework for an intelligent smart healthcare system in smart cities,’’ Sustainability, vol. 15, no. 1, p. 735, 2022.
- [5] G. Aloi, G. Fortino, R. Gravina, P. Pace, and G. Caliciuri, ‘‘Edge computing-enabled body area networks,’’ in 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2018, pp. 349–353.
- [6] S.Wan, L. Qi, X. Xu, C. Tong, and Z. Gu, ‘‘Deep learning models for real-time human activity recognition with smartphones,’’ Mob. Networks Appl., vol. 25, pp. 743–755, 2020.
- [7] P. Verma and S. Fatima, ‘‘Smart healthcare applications and real-time analytics through edge computing. internet things use cases healthcare ind,’’ A Rev. edge Comput. Healthc. internet things, vol. 275, no. 276, pp. 241–270, 2020.
- [8] S. U. Amin and M. S. Hossain, ‘‘Edge intelligence and internet of things in healthcare: A survey,’’ IEEE Access, vol. 9, pp. 45–59, 2020.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik Eğitimi, Mühendislik Uygulaması, Mühendislik Uygulaması ve Eğitim (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
7 Temmuz 2024
Gönderilme Tarihi
1 Ekim 2023
Kabul Tarihi
21 Mayıs 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 11 Sayı: 2
APA
Durgun, M., & Durgun, Y. (2024). Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students. El-Cezeri, 11(2), 169-174. https://doi.org/10.31202/ecjse.1369680
AMA
1.Durgun M, Durgun Y. Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students. ECJSE. 2024;11(2):169-174. doi:10.31202/ecjse.1369680
Chicago
Durgun, Mahmut, ve Yeliz Durgun. 2024. “Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students”. El-Cezeri 11 (2): 169-74. https://doi.org/10.31202/ecjse.1369680.
EndNote
Durgun M, Durgun Y (01 Temmuz 2024) Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students. El-Cezeri 11 2 169–174.
IEEE
[1]M. Durgun ve Y. Durgun, “Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students”, ECJSE, c. 11, sy 2, ss. 169–174, Tem. 2024, doi: 10.31202/ecjse.1369680.
ISNAD
Durgun, Mahmut - Durgun, Yeliz. “Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students”. El-Cezeri 11/2 (01 Temmuz 2024): 169-174. https://doi.org/10.31202/ecjse.1369680.
JAMA
1.Durgun M, Durgun Y. Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students. ECJSE. 2024;11:169–174.
MLA
Durgun, Mahmut, ve Yeliz Durgun. “Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students”. El-Cezeri, c. 11, sy 2, Temmuz 2024, ss. 169-74, doi:10.31202/ecjse.1369680.
Vancouver
1.Mahmut Durgun, Yeliz Durgun. Teaching Effective Techniques for Incorporating Edge Computing in Biomedical Applications with Biomedical Students. ECJSE. 01 Temmuz 2024;11(2):169-74. doi:10.31202/ecjse.1369680


