| CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks C Pizzolato, DG Lloyd, M Sartori, E Ceseracciu, TF Besier, BJ Fregly, ... Journal of biomechanics 48 (14), 3929-3936, 2015 | 425 | 2015 |
| Non-negative matrix factorisation is the most appropriate method for extraction of muscle synergies in walking and running MF Rabbi, C Pizzolato, DG Lloyd, CP Carty, D Devaprakash, LE Diamond Scientific reports 10 (1), 8266, 2020 | 196 | 2020 |
| MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulation A Mantoan, C Pizzolato, M Sartori, Z Sawacha, C Cobelli, M Reggiani Source code for biology and medicine 10 (1), 12, 2015 | 193 | 2015 |
| Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion M Sartori, M Maculan, C Pizzolato, M Reggiani, D Farina Journal of neurophysiology 114 (4), 2509-2527, 2015 | 145 | 2015 |
| A calibrated EMG-informed neuromusculoskeletal model can appropriately account for muscle co-contraction in the estimation of hip joint contact forces in people with hip … HX Hoang, LE Diamond, DG Lloyd, C Pizzolato Journal of biomechanics 83, 134-142, 2019 | 140 | 2019 |
| Biofeedback for gait retraining based on real-time estimation of tibiofemoral joint contact forces C Pizzolato, M Reggiani, DJ Saxby, E Ceseracciu, L Modenese, DG Lloyd IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (9 …, 2017 | 135 | 2017 |
| Real-time inverse kinematics and inverse dynamics for lower limb applications using OpenSim C Pizzolato, M Reggiani, L Modenese, DG Lloyd Computer methods in biomechanics and biomedical engineering 20 (4), 436-445, 2017 | 135 | 2017 |
| Machine learning methods to support personalized neuromusculoskeletal modelling DJ Saxby, BA Killen, C Pizzolato, CP Carty, LE Diamond, L Modenese, ... Biomechanics and Modeling in Mechanobiology 19 (4), 1169-1185, 2020 | 100 | 2020 |
| Static optimization underestimates antagonist muscle activity at the glenohumeral joint: A musculoskeletal modeling study A Kian, C Pizzolato, M Halaki, K Ginn, D Lloyd, D Reed, D Ackland Journal of biomechanics 97, 109348, 2019 | 97 | 2019 |
| Subject-specific calibration of neuromuscular parameters enables neuromusculoskeletal models to estimate physiologically plausible hip joint contact forces in healthy adults HX Hoang, C Pizzolato, LE Diamond, DG Lloyd Journal of biomechanics 80, 111-120, 2018 | 83 | 2018 |
| Muscle contributions to tibiofemoral shear forces and valgus and rotational joint moments during single leg drop landing N Maniar, AG Schache, C Pizzolato, DA Opar Scandinavian journal of medicine & science in sports 30 (9), 1664-1674, 2020 | 80 | 2020 |
| Non-invasive approaches to functional recovery after spinal cord injury: Therapeutic targets and multimodal device interventions C Pizzolato, MA Gunduz, D Palipana, J Wu, G Grant, S Hall, R Dennison, ... Experimental neurology 339, 113612, 2021 | 72 | 2021 |
| Bioinspired technologies to connect musculoskeletal mechanobiology to the person for training and rehabilitation C Pizzolato, DG Lloyd, RS Barrett, JL Cook, MH Zheng, TF Besier, ... Frontiers in computational neuroscience 11, 96, 2017 | 72 | 2017 |
| Neuromusculoskeletal modeling-based prostheses for recovery after spinal cord injury C Pizzolato, DJ Saxby, D Palipana, LE Diamond, RS Barrett, YD Teng, ... Frontiers in neurorobotics 13, 97, 2019 | 69 | 2019 |
| The effects of electromyography-assisted modelling in estimating musculotendon forces during gait in children with cerebral palsy K Veerkamp, W Schallig, J Harlaar, C Pizzolato, CP Carty, DG Lloyd, ... Journal of biomechanics 92, 45-53, 2019 | 68 | 2019 |
| EMG-informed neuromusculoskeletal models accurately predict knee loading measured using instrumented implants KJ Bennett, C Pizzolato, S Martelli, JS Bahl, A Sivakumar, GJ Atkins, ... IEEE Transactions on Biomedical Engineering 69 (7), 2268-2275, 2022 | 67 | 2022 |
| Finding the sweet spot via personalised Achilles tendon training: the future is within reach C Pizzolato, DG Lloyd, MH Zheng, TF Besier, VB Shim, SJ Obst, ... British journal of sports medicine 53 (1), 11-12, 2019 | 57 | 2019 |
| Tibiofemoral joint contact forces increase with load magnitude and walking speed but remain almost unchanged with different types of carried load GK Lenton, PJ Bishop, DJ Saxby, TLA Doyle, C Pizzolato, D Billing, ... PLoS One 13 (11), e0206859, 2018 | 56 | 2018 |
| Targeted achilles tendon training and rehabilitation using personalized and real-time multiscale models of the neuromusculoskeletal system C Pizzolato, VB Shim, DG Lloyd, D Devaprakash, SJ Obst, ... Frontiers in bioengineering and biotechnology 8, 878, 2020 | 55 | 2020 |
| Increasing level of neuromusculoskeletal model personalisation to investigate joint contact forces in cerebral palsy: A twin case study G Davico, C Pizzolato, DG Lloyd, SJ Obst, HPJ Walsh, CP Carty Clinical Biomechanics 72, 141-149, 2020 | 55 | 2020 |
