EEG and ECG Wearable Biosensor-Based Affective State Analysis Using Deep Learning over 6G IoT Healthcare Networks
- DOI
- 10.3390/bios16080400
- Published
- 2026-07-23
- Container
- Biosensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/bios16080400,
title = {EEG and ECG Wearable Biosensor-Based Affective State Analysis Using Deep Learning over 6G IoT Healthcare Networks},
author = {Hazal Su Bıçakcı Yeşilkaya and Mete Özbaltan and Nihan Özbaltan and Cihat Şeker and Bartu Yeşilkaya and Bengisu Yalçınkaya},
year = {2026},
journal = {Biosensors},
doi = {10.3390/bios16080400},
url = {https://doi.org/10.3390/bios16080400}
}RIS
TY - JOUR TI - EEG and ECG Wearable Biosensor-Based Affective State Analysis Using Deep Learning over 6G IoT Healthcare Networks AU - Hazal Su Bıçakcı Yeşilkaya AU - Mete Özbaltan AU - Nihan Özbaltan AU - Cihat Şeker AU - Bartu Yeşilkaya AU - Bengisu Yalçınkaya PY - 2026 JO - Biosensors DO - 10.3390/bios16080400 UR - https://doi.org/10.3390/bios16080400 ER -
APA
Yeşilkaya, H. S. B., Özbaltan, M., Özbaltan, N., Şeker, C., Yeşilkaya, B., & Yalçınkaya, B. (2026). EEG and ECG Wearable Biosensor-Based Affective State Analysis Using Deep Learning over 6G IoT Healthcare Networks. Biosensors. https://doi.org/10.3390/bios16080400
Source records
- crossref · retrieved 2026-09-25T03:19:47.018Z