Dr. Zilu Liang
To explore stress-related abnormality in brain activity especially during sleep.
Design and perform data collection experiment using wearable fNIR (Artinis Brite 24), smartwatches (Fitbit), wearable rings (OURA), continuous glucose monitor (FreeStyle Libre) and salivary biochemical test (SOMA cube; cortisol & sIgA)
Multimodal data retrieval, integration, and preprocessing
Multimodal physiological data analysis using statistical techniques, signal processing, spatio-temporal time series analysis, machine learning and data mining
Dr. Zilu Liang
Liang Z. (2022). Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking. In: Spinsante, S., Silva, B., Goleva, R. (eds) IoT Technologies for Health Care. HealthyIoT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 432. Springer, Cham. [SCI/Scopus]
Liang Z. (2021) What does sleeping brain tell about stress? A pilot fNIRS study into stress-related cortical hemodynamic features during sleep. Frontiers in Computer Science (Section: Mobile and Ubiquitous Computing) 3:774949. Doi: 10.3389/fcomp.2021.774949.
Liang Z. (2021) An N-of-1 investigation into stress-related hemodynamics in the prefrontal cortex during the first sleep cycle. In Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), Melbourne, Australia. [SCI/Scopus]
