2 citations · 3 across the 5 of their papers we have counts for
5 papers
Interpretable and Granular Video-Based Quantification of Motor Characteristics from the Finger Tapping Test in Parkinson Disease
Tahereh Zarrat Ehsan, Michael Tangermann, Yağmur Güçlütürk +2
Accurately quantifying motor characteristics in Parkinson disease (PD) is crucial for monitoring disease progression and optimizing treatment strategies. The finger-tapping test is…
TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications
Kasper Claes, Valentina Ticcinelli, Reham Badawy +3
Digital sensors are increasingly being used to monitor the change over time of physiological processes in biological health and disease, often using wearable devices. This generate…
Probabilistic modelling of gait for robust passive monitoring in daily life
Yordan P. Raykov, Luc J. W. Evers, Reham Badawy +5
Passive monitoring in daily life may provide invaluable insights about a person's health throughout the day. Wearable sensor devices are likely to play a key role in enabling such…
Adaptive probabilistic principal component analysis
Adam Farooq, Yordan P. Raykov, Luc Evers +1
Using the linear Gaussian latent variable model as a starting point we relax some of the constraints it imposes by deriving a nonparametric latent feature Gaussian variable model.…
Probabilistic modelling of gait for remote passive monitoring applications
Yordan P. Raykov, Luc J. W. Evers, Reham Badawy +4
Passive and non-obtrusive health monitoring using wearables can potentially bring new insights into the user's health status throughout the day and may support clinical diagnosis a…