Abstract
The CAPABLE project aims to improve the wellbeing of cancer patients managed at home via a coaching system recommending personalized evidence-based health behavioral change interventions and supporting patients compliance. Focusing on managing stress via deep breathing intervention, we hypothesise that the patients are more likely to perform suggested breathing exercises when they need calming down. To prompt them at the right time, we developed a machine-learning stress detector based on blood volume pulse that can be measured via consumer-grade smartwatches. We used a publicly available WESAD dataset to evaluate it. Simple 1D CNN achieves 0.837 average F1-score in binary stress vs. non-stress classification and 0.653 in stress vs. amusement vs. neutral classification reaching the state-of-art performance. Personalisation of the population model via fine-tuning on a small number of annotated patient-specific samples yields 12% improvement in stress vs. amusement vs. neutral classification. In future work we will include additional context information to further refine the timing of the prompt and adjust the exercise level.
Original language | English |
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Title of host publication | Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Proceedings |
Editors | Allan Tucker, Pedro Henriques Abreu, Jaime Cardoso, Pedro Pereira Rodrigues, David Riaño |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 72-82 |
Number of pages | 11 |
ISBN (Print) | 9783030772109 |
DOIs | |
State | Published - 2021 |
Event | 19th International Conference on Artificial Intelligence in Medicine, AIME 2021 - Virtual, Online Duration: 15 Jun 2021 → 18 Jun 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12721 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th International Conference on Artificial Intelligence in Medicine, AIME 2021 |
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City | Virtual, Online |
Period | 15/06/21 → 18/06/21 |
Bibliographical note
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Keywords
- Blood volume pulse
- Classification
- Fogg behavioral model
- Stress
- Wearable
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science