Impact of Exercise Intervention in Parkinson's Disease can be Quantified Using Inertial Sensor Data and Clinical Tests. - Killian McManus; Denise McGrath; Barry R. Greene; Olive Lennon; Laura McMahon; Brian Caulfield 001 (EMBC, 2019)

Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. - Niladri Sett; Brian Mac Namee; Francesc Calvo; Brian Caulfield 001; John Costello; Seamas Donnelly; Jonas F. Dorn; Louis Jeay; Alison Keogh; Killian McManus; Ronan H. Mullan; Emer O'Hare; et al. (SGAI Conf., 2019)

Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors. - Barry R. Greene; Killian McManus; Stephen J. Redmond; Brian Caulfield 001; Charlene C. Quinn (npj Digit. Medicine, 2019)

How many steps to represent individual gait? - Lilian Genaro Motti Ader; Killian McManus; Barry R. Greene; Brian Caulfield 001 (EICS, 2020)

Human Movement Analysis: Introduction to Motion Capture and Applications for Health. - Lilian Genaro Motti Ader; Alison Keogh; Killian McManus; Barry R. Greene; Brian Caulfield 001 (ICHI, 2020)

Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning. - Barry R. Greene; Killian McManus; Lilian Genaro Motti Ader; Brian Caulfield 001 (Sensors, 2021)

Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's Disease. - Barry R. Greene; Isabella Premoli; Killian McManus; Denise McGrath; Brian Caulfield 001 (Sensors, 2022)

Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults. - Killian McManus; Barry R. Greene; Lilian Genaro Motti Ader; Brian Caulfield 001 (IEEE Trans. Biomed. Eng., 2022)