activity
20172022
most citedProbabilistic modelling of gait for remote passive monitoring applications

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB20221 cited

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…

cs.HC2020

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…

cs.LG2019

Causal bootstrapping

Max A. Little, Reham Badawy

To draw scientifically meaningful conclusions and build reliable models of quantitative phenomena, cause and effect must be taken into consideration (either implicitly or explicitl…

eess.SP20192 cited

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…

eess.SP2017

A unified algorithm framework for quality control of sensor data for behavioural clinimetric testing

Reham Badawy, Yordan P. Raykov, Max A. Little

The use of smartphone and wearable sensing technology for objective, non-invasive and remote clinimetric testing of symptoms has considerable potential. However, the clinimetric ac…