A second @aiprognosis.bsky.social work presented at #EUSIPCO2026 focused on REM sleep behaviour disorder using multi-night actigraphy.

Wang et al. used wrist-acceleration data to develop a machine-learning model distinguishing people with RBD from unaffected individuals.

#ParkinsonsDisease

One of the @aiprognosis.bsky.social works presented at #EUSIPCO2026 explored touchscreen typing dynamics in Parkinson’s disease.

Gerasimou et al. used key-tap timing to compute a digital score linked to finger movement slowness.

#ParkinsonsDisease #DigitalBiomarkers