Conference Paper2024

Performance Analysis of Ensemble and DNN Models for Decoding Mental Stress Utilizing ECG-Based Wearable Data Fusion

Noor Masrur, Nabarun Halder, Sami Rashid, Ashraful Islam, Tarem Ahmed

IEEE 12th International Black Sea Conference on Communications and Networking

IEEE, pp. 276-279

DOI: 10.1109/blackseacom61746.2024.10646297URL

CCDS Authors

Ashraful Islam

Ashraful Islam, PhD

Center DirectorDirector, Human-Computer Interaction Wing

References

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  5. 5.Fatma M. Talaat, Rana Mohamed El-Balka. (2023). Stress monitoring using wearable sensors: IoT techniques in medical field. Neural Computing and Applications, 35(25), 18571–18584[10.1007/s00521-023-08681-z]
  6. 6.Pedro Elkind Velmovitsky, Paulo Alencar, Scott T. Leatherdale, Donald Cowan, Plinio Pelegrini Morita. (2022). Using apple watch ECG data for heart rate variability monitoring and stress prediction: A pilot study. Frontiers in Digital Health, 4, 1058826[10.3389/fdgth.2022.1058826]
  7. 7.Sara Alnasser, Dalal Alkalthem, Sara Alenazi, Muneera Alsowinea, Narin Alanazi, Ahmed Al Fagih. (2023). The Reliability of the Apple Watch’s Electrocardiogram. Cureus, 15(12), e49786[10.7759/cureus.49786]
  8. 8.Areej Mustafa, Maitha Alahmed, Aysha Alhammadi, Bassel Soudan. (2020). Stress Detector System Using IoT and Artificial Intelligence. 2020 Advances in Science and Engineering Technology International Conferences (ASET), 1–6[10.1109/aset48392.2020.9118345]
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