Selected Publications

Lower Limb Rehabilitation

Ward, S. H., Wiedemann, L., Stinear, J., Stinear, C., & McDaid, A. (2018). The effect of a novel gait retraining device on lower limb kinematics and muscle activation in healthy adults. Journal of Biomechanics, 77, 183–189.
K. Kora, S. Ward, and A. McDaid, “Assessing the effect of walking with a linkage-based gait trainer by analysing muscle activation,” in 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2018.
K. Kora, J. Stinear, and A. McDaid, Design, analysis, and optimization of an acute stroke gait rehabilitation device. Journal of Medical Devices, vol. 11, no. 1, pp. 014503–014503–6, Dec. 2016.
Ward, S., Wiedemann, L., Stinear, C., Stinear, J., & McDaid, A. (2017). The influence of the Re-Link Trainer on gait symmetry in healthy adults. IEEE International Conference on Rehabilitation Robotics : [proceedings], 2017, 276-282.
McDaid, A. J. (2017). Design, Analysis, and Multicriteria Optimization of an Overground Pediatric Robotic Gait Trainer. IEEE/ASME Transactions on Mechatronics, 22(4).
McDaid, A. J., Xie, S., Kora, K. (2014). Non-linear model-based Control for the Human-inspired Robotic Exoskeleton (HuREx) gait trainer. IFAC Proceedings Volumes, 47(3).
Putnam, O. R., Ogden, M. L., Stol, K. A., & Mcdaid, A. J. (2014). Development of an active balance board for progressive ankle rehabilitation. 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
McDaid, A., Tsoi, Y. H., & Xie, S. (2013). MIMO Actuator Force Control of a Parallel Robot for Ankle Rehabilitation. Interdisciplinary Mechatronics, 163-208.

Upper Limb Exoskeleton Development

Jarrett, C. & McDaid, A. (2019). Modelling and Feasibility of a Series Elastic Actuator as a Haptic Interaction Sensor for Exoskeleton Robotics. IEEE Transactions on Mechatronics.
Hope, J. and A. McDaid, Development of Wearable Wrist and Forearm Exoskeleton with Shape Memory Alloy Actuators. Journal of Intelligent and Robotic Systems: Theory and Applications, 2017. 86(3-4): p. 397-417.
Jarrett, C., & McDaid, A. (2017). Robust Control of a Cable-Driven Soft Exoskeleton Joint for Intrinsic Human-Robot Interaction. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 7, pp. 976-986.
Jarrett, C., & McDaid, A. (2017). Virtual Normalization of Physical Impairment: A Pilot Study to Evaluate Motor Learning in Presence of Physical Impairment. Frontiers in Neuroscience, 11.
Jayaneththi, V. R., Viloria, J., Wiedemann, L., Jarrett, C. G., & McDaid, A. (2017). Robotic assessment of neuromuscular characteristics using musculoskeletal models: A pilot study. Computers in Biology and Medicine, 86, 82-89.

Smart Materials

Jayaneththi, V. R., Aw, K. C., Sharma, M., Wen, J., Svirskis, D. & McDaid, A. J. (2019). Controlled transdermal drug delivery using a wireless magnetic microneedle patch: preclinical device development. Sensors & Actuators B: Chemical.
Jayaneththi, V. R., Aw, K. C., & McDaid, A. J. (2019). Coupled magneto-mechanical modeling of non-linear ferromagnetic diaphragm systems. International Journal of Mechanical Sciences.
Jayaneththi, V. R., Aw, K. C., & Mcdaid, A. J. (2018). Design-based modeling of magnetically actuated soft diaphragm materials. Smart Materials and Structures, 27(4).
Jayaneththi, V. R., Aw, K. C., & Mcdaid, A. J. (2017). Wireless magnetic polymer actuator for implantable applications. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM.

Electrophysiology

Hope, J., Aristovich, K. Y., Chapman, C. A. R., Volschenk, A., Vanholsbeeck, F., & McDaid, A. (2019). Extracting impedance changes from a frequency multiplexed signal during neural activity in sciatic nerve of rat: preliminary study in-vitro. Physiological measurement 40(3) 034006. http://dx.doi.org/10.1088/1361-6579/ab0c24
Hope, J., Aristovich, K., Chapman, C., Vanholsbeeck, F., & McDaid, A., (2019) Optimal frequency range for electrical impedance tomography of neural activity in peripheral nerve, in 9th International IEEE EMBS Conference on Neural Engineering, San Fransisco, USA, March 20-23, 2019.
Wiedemann, L. G., Jayaneththi, V. R., Kimpton, J., Chan, A., Müller, M. A., Hogan, A., Lim, E., Wilson, N. C., McDaid, A. J. (2018). Neuromuscular characterisation in Cerebral Palsy using hybrid Hill-type models on isometric contractions. Computers in Biology and Medicine, 103(September), 269–276.
Hope, J., Vanholsbeeck, F., & McDavid, A. (2018). Drive and measurement electrode patterns for electrode impedance tomography (EIT) imaging of neural activity in peripheral nerve. Biomedical physics & engineering express, 4(6). http://dx.doi.org/10.1088/2057-1976/aadff3
Hope, J., Braeuer, B., Amirapu, S., McDaid, A., & Vanholsbeeck, F. (2018). Extracting morphometric information from rat sciatic nerve using optical coherence tomography. Journal of biomedical optics, 23 (11), 1-14. http://dx.doi.org/10.1117/1.jbo.23.11.116001
Hope, J., Vanholsbeeck, F., & McDaid, A. J., (2018). The specific impedance of the intra-fascicle environment obtained via nerve fibre models, in XXII Congress of the International Society of Electrophysiology and Kinesiology, Dublin, Ireland. 30 June – 2 July 2018.
Hope, J., Vanholsbeeck, F., & McDaid, A. (2018). A model of electrical impedance tomography implemented in nerve-cuff for neural-prosthetics control. Physiological measurement, 39 (4). http://dx.doi.org/10.1088/1361-6579/aab73a
Wiedemann, L., Holobar, A., Hogan, A., Ward, S., Lim, E., McDaid, A. (2018). The role of HD-EMG in Cerebral Palsy: Implications for research and clinical practice. XXII Congress of the International Society of Electrophysiology and Kinesiology, Dublin, Ireland
Hope, J., Braeuer, B., Amirapu, S., McDaid, A., Vanholsbeeck, F., Extracting morphometric information from rat sciatic nerve using optical coherence tomography (OCT) – review and comparison of methods, in ANZCOP 2017. 2017: Queenstown, NZ.
Mcdaid, A. J., Xing, S., & Xie, S. Q. (2013). Brain controlled robotic exoskeleton for neurorehabilitation. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.