Cardiac Time Intervals Under Motion Using Bimodal Chest E-Tattoos and Multistage Processing
Managing cardiovascular disease at home necessitates continuous monitoring, which has been challenging with wearables due to signal sensitivity to motion. Accurately extracting cardiac events from synchronous SCG and ECG during motion can significantly enhance heart stress response quantification, offering a more comprehensive cardiac health assessment than ECG alone and marking a significant advancement in ambulatory cardiovascular monitoring capabilities.
Authors
- J. Basu
- Thomas C. Huang
- Mrdjan Janković (ORCID: https://orcid.org/0000-0002-4591-9462)
- Philip Tan (ORCID: https://orcid.org/0000-0002-5904-023X)
- Emiliano Schena (ORCID: https://orcid.org/0000-0002-9696-1265)
- Nanshu Lu (ORCID: https://orcid.org/0000-0002-3595-3851)
- Francesca Santucci (ORCID: https://orcid.org/0000-0002-5542-843X)
- Smiti Bhattacharya (ORCID: https://orcid.org/0000-0002-5965-571X)
Institutions
- Università Campus Bio-Medico (IT)
- The University of Texas at Austin (US)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1109/tbme.2024.3454067
- Citations
- 8
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.74