2 citations · 2 across the 5 of their papers we have counts for
5 papers
A Benchmark for Early-stage Parkinson's Disease Detection from Speech
Terry Yi Zhong, Cristian Tejedor-Garcia, Khiet P. Truong +3
Early-stage Parkinson's disease (EarlyPD) detection from speech is clinically meaningful yet underexplored, and published results are hard to compare because studies differ in data…
RECA-PD: A Robust Explainable Cross-Attention Method for Speech-based Parkinson's Disease Classification
Terry Yi Zhong, Cristian Tejedor-Garcia, Martha Larson +1
Parkinson's Disease (PD) affects over 10 million people globally, with speech impairments often preceding motor symptoms by years, making speech a valuable modality for early, non-…
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…
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…
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…