Alison J. Yarnall

According to our database, Alison J. Yarnall authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review.

Gemma L. Bate, Cameron Kirk, Rana Zia Ur Rehman, Yu Guan, Alison J. Yarnall, Silvia Del Din, Rachael A. Lawson

Sensors, 2023

Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning.

Chiara Carissimo, Gianni Cerro, H. Debelle, E. Packer, Alison J. Yarnall, Lynn Rochester, Lisa Alcock, Luigi Ferrigno, Alessandro Marino, Tommaso Di Libero, Silvia Del Din

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022

Factors Influencing Habitual Physical Activity in Parkinson's Disease: Considering the Psychosocial State and Wellbeing of People with Parkinson's and Their Carers.

Ríona Mc Ardle, Silvia Del Din, Rosie Morris, Lisa Alcock, Alison J. Yarnall, David J. Burn, Lynn Rochester, Rachael A. Lawson

Sensors, 2022

2021

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes.

Ashley Polhemus, Laura Delgado Ortiz, Gavin Brittain, Nikolaos Chynkiamis, Francesca Salis, Heiko Gaßner, Michaela Gross, Cameron Kirk, Rachele Rossanigo, Kristin Taraldsen, Diletta Balta, Sofie Breuls, Sara Buttery, Gabriela Cardenas, Christoph Endress, Julia Gugenhan, Alison Keogh, Felix Kluge, Sarah Koch, Maria Encarna Micó-Amigo, Corinna Nerz, Chloé Sieber, Parris Williams, Ronny Bergquist, Magda Bosch de Basea, Ellen E. Buckley, Clint Hansen, A. Stefanie Mikolaizak, Lars Schwickert, Kirsty Scott, Sabine Stallforth, Janet van Uem, Beatrix Vereijken, Andrea Cereatti, Heleen Demeyer, Nicholas Hopkinson, Walter Maetzler, Thierry Troosters, Ioannis Vogiatzis, Alison J. Yarnall, Clemens Becker, Judith Garcia-Aymerich, Letizia Leocani, Claudia Mazzà, Lynn Rochester, Basil Sharrack, Anja Frei, Milo A. Puhan

npj Digit. Medicine, 2021

Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning.

Rana Zia Ur Rehman, Lynn Rochester, Alison J. Yarnall, Silvia Del Din

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, Brook Galna, Sue Lord, Alison J. Yarnall, Yu Guan, Lynn Rochester

Sensors, 2019