Open Access
| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 6 | |
| Section | Intelligent Computing in Healthcare and Bioinformatics | |
| DOI | https://doi.org/10.1051/itmconf/20268401023 | |
| Published online | 06 April 2026 | |
- A. Mahajan, K. Heydari. & D. Powell. Wearable AI to enhance patient safety and clinical decision-making.npj Digit. Med. 8, 176 (2025). https://doi.org/10.1038/s41746-025-01554-w [Google Scholar]
- A. F. Pedroso, R. Khera. Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring. npj Cardiovasc Health 2, 34 (2025). https://doi.org/10.1038/s44325-025-00071-9 [Google Scholar]
- K. Shah, A. Wang, Y. Chen. et al. Automated loss of pulse detection on a consumer smartwatch. Nature 642, 174–181 (2025). https://doi.org/10.1038/s41586-025-08810-9 [Google Scholar]
- H. C. Ates, P. Q. Nguyen, L. Gonzalez-Macia. et al. End-to-end design of wearable sensors. Nat Rev Mater 7, 887–907 (2022). https://doi.org/10.1038/s41578-022-00460-x [Google Scholar]
- N. B. Alam, M. Surani, C. K. Das, et al. Challenges and standardisation strategies for sensor-based data collection for digital phenotyping. Commun Med 5, 360 (2025). https://doi.org/10.1038/s43856-025-01013-3 [Google Scholar]
- C. Alfonso, M. A. Garcia-Gonzalez, E. Parrado. et al. Agreement between two photoplethysmography-based wearable devices for monitoring heart rate during different physical activity situations: a new analysis methodology. Sci Rep 12, 15448 (2022). https://doi.org/10.1038/s41598-022-18356-9 [Google Scholar]
- A. Baigutanova, S. Park, M. Constantinides. et al. A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries. Sci Data 12, 1474 (2025). https://doi.org/10.1038/s41597-025-05801-3 [Google Scholar]
- X. Huang, S. Zhu, Z. Wang. et al. An Enhanced Valence-Arousal Multimodal Emotion Dataset for Emotion Recognition. Sci Data 12, 1944 (2025). https://doi.org/10.1038/s41597-025-06214-y [Google Scholar]
- H. Xie, L. Yang, B. Jiang. et al. State-of-the-art wearable sensors for cardiovascular health: a review. npj Cardiovasc Health 2, 53 (2025). https://doi.org/10.1038/s44325-025-00090-6 [Google Scholar]
- F. Li. & D. Zhang. Multimodal physiological signals from wearable sensors for affective computing: a systematic review. Intell. Sports Health 1, 210–222 (2025). https://doi.org/10.1016/j.ish.2025.10.001 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

