Postural stability predicts the likelihood of cybersickness in active HMD-based virtual reality. - Benjamin Arcioni; Stephen A. Palmisano; Deborah Apthorp; Juno Kim (Displays, 2019)

Which Features of Postural Sway are Effective in Distinguishing Parkinson's Disease Patients from Controls? An Experimental Investigation. - Wenbo Ge; Deborah Apthorp; Christian Lück; Hanna Suominen (BIBM, 2021)

Finger Tapping Measures for Parkinson's Disease: Preliminary Evaluation of an Android Application for Data Collection in Australia. - Hanna Suominen; Mehika Manocha; Jane Desborough; Anne Parkinson; Deborah Apthorp (Nursing Informatics, 2021)

The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease. - Robin Vlieger; Elena Daskalaki; Deborah Apthorp; Christian J. Lück; Hanna Suominen (Nursing Informatics, 2021)

Evaluating methods of oversampling and averaging resting-state electroencephalography data in classifying Parkinson's disease. - Robin Vlieger; Hanna Suominen; Deborah Apthorp; Christian J. Lück; Elena Daskalaki (EMBC, 2023)

Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's Disease. - Robin Vlieger; Elena Daskalaki; Deborah Apthorp; Christian J. Lück; Hanna Suominen (MedInfo, 2023)

Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease. - Wenbo Ge; Christian Lück; Hanna Suominen; Deborah Apthorp (Artif. Intell. Medicine, 2023)