Alison Keogh

According to our database, Alison Keogh authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology - Lessons Learned from 10 Years of Research.

Alison Keogh, Rob Argent, Cailbhe Doherty, Ciara Duignan, Orna Fennelly, Ciaran Purcell, William Johnston, Brian Caulfield

Sensors, June, 2024

2021

The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study.

Rob Argent, Antonio Bevilacqua, Alison Keogh, Ailish Daly, Brian Caulfield

Sensors, 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

2020

An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment.

Tecla Bonci, Alison Keogh, Silvia Del Din, Kirsty Scott, Claudia Mazzà

Sensors, 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

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019

Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data.

Niladri Sett, Brian Mac Namee, Francesc Calvo, Brian Caulfield, John Costello, Seamas Donnelly, Jonas F. Dorn, Louis Jeay, Alison Keogh, Killian McManus, Ronan H. Mullan, Emer O'Hare, Caroline G. M. Perraudin

Proceedings of the Artificial Intelligence XXXVI, 2019