Project

Publication Details 

• R. Udhayakumar, S. Rahman, S. Gopakumar and C. Karmakar, “Nonlinear Features from Multi-Modal Signals for Continuous Stress Monitoring,” 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023 
• Udhayakumar, R., Rahman, S., Buxi, D., Macefield, V. G., Dawood, T., Mellor, N., & Karmakar, C. (2023). Measurement of stress-induced sympathetic nervous activity using multi-wavelength PPG. Royal Society Open Science, 10(8), 221382. 

Proposed Future Work Details 

Future work involves investigation into the following avenues: 

• Investigate methods for personalising the temporal segmentation based on individual characteristics or stress response patterns. 
• Applying explainable deep learning methods to investigate stress predictors in complex multimodal signals. 
• Translate the research findings into practical applications like stress management apps, workplace intervention programs, or mental health monitoring tools.