Article

Vatolik, I., Everington, M., Hunter, G., Swann, N. and Augousti, A.T. (2022) Development of a multi-modal sensor network to detect and monitor knee joint condition. Measurement: Sensors, 24, p. 100483. ISSN (print) 2665-9174

Vatolik, I., Hunter, G., Everington, M. and Augousti, A.T. (2016) Monitoring and analysis of acoustic emissions from knee joints. Proceedings of the Institute of Acoustics 2016, 38, pp. 133-138. ISSN (print) 1478-6095

Conference or Workshop Item

Vatolik, Ivan, Hunter, Gordon, Swann, Nicola, Everington, Michael, Lanets, O., Liaskova, S., Mbachu, C. and Augousti, Andy (2024) Use of deep learning techniques to classify acoustic emission data from knee joints. In: Sensors and their applications 2024: 20th Sensors & their Applications Conference co-located with 5th International Conference of Fibre Optic and Photonic Sensors for Industrial and Safety Applications (OFSIS); 11-14 August 2024, Limerick, Ireland. (Unpublished)

Vatolik, Ivan, Mbachu, Chinedu, Hunter, Gordon, Swann, Nicola, Everington, Michael and Augousti, Andy (2023) Deep learning successfully classifies acoustic emission data from knee joints. In: XXIX Congress of International/Japanese Society of Biomechanics (ISB/JSB2023); 30 Jul - 03 Aug 2023, Fukuoka, Japan. (Unpublished)

Vatolik, Ivan, Swann, Nicola, Hunter, Gordon, Everington, Michael and Augousti, Andreas (2020) Correlating information from acoustic and biomechanical signals to detect and monitor injuries to human knee joints. In: UK Acoustics Network Bio-Medical Acoustics Special Interest Group Workshop; 26 Jun 2020, Online. (Unpublished)