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2021

Conferences

Resende, S. Cerqueira, J. Barbosa, A. Pombeiro, E.Damasio, A. Silva, C. Santos, “Ergowear: an ambulatory, non-intrusive, and interoperable system towards a Human-aware Human-robot Collaborative framework,” in 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021, pp. 56–61.
https://ieeexplore.ieee.org/document/9429796

Branquinho, H. R. Gonçalves, J. F. Pinto, A. M. Rodrigues and C. P. Santos, “Wearable gait Analysis LAB as a biomarker of Parkinson’s disease motor stages and Quality of life: a preliminary study,” 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021, pp. 234-239.
https://doi.org/10.1109/ICARSC52212.2021.9429770

D. Rito, C. Pinheiro, J. Figueiredo, and C. P. Santos, “Virtual reality tools for post-stroke balance rehabilitation: a review and a solution proposal,” 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021, pp. 234-239.
https://doi.org/10.1109/ICARSC52212.2021.9429777

 

Journals

Moreira, L., Figueiredo, J., Fonseca, P. et al., “Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds”, Sci Data 8, 103 (2021)
https://doi.org/10.1038/s41597-021-00881-3

H.R. Gonçalves, A.M. Rodrigues and C.P. Santos, “Vibrotactile biofeedback devices in Parkinson’s disease: a narrative review,” Medical & Biological Engineering, vol. 59, pp. 1185–1199, 2021.
https://doi.org/10.1007/s11517-021-02365-3

H.R. Gonçalves, A.M. Rodrigues and C.P. Santos, “Gait monitoring system for patients with Parkinson’s disease,” Expert Systems with Applications, vol. 185, pp. 115653, 2021,
https://doi.org/10.1016/j.eswa.2021.115653

N. F. Ribeiro, P. Mouta, and C. P. Santos, “Two kinematic data-based approaches for cane event detection,” J Ambient Intell Humaniz Comput 2021.
https://doi.org/10.1007/s12652-021-03313-7

M. Palermo, S. Moccia, L. Migliorelli, E. Frontoni and C.P. Santos, “Real-time human pose estimation on a smart walker using convolutional neural networks”, Expert Systems with Applications, vol. 184, p. 115498, 2021.
https://doi.org/10.1016/j.eswa.2021.115498 .

J.M. Lopes, J. Figueiredo, C. Pinheiro, L.P. Reis, and C.P. Santos, “Biomechanical Assessment of Adapting Trajectory and Human-Robot Interaction Stiffness in Impedance-Controlled Ankle Orthosis,” Journal of Intelligent Robotic Systems, vol. 102, 76, 2021.
https://doi.org/10.1007/s10846-021-01423-0

L. Moreira, J. Figueiredo, J. P. Vilas-Boas, and C. P. Santos, “Kinematics, Speed, and Anthropometry-Based Ankle Joint Torque Estimation: A Deep Learning Regression Approach,” Machines, vol. 9, 2021. 
https://doi.org/10.3390/machines9080154

Carvalho, S.; Correia, A.; Figueiredo, J.; Martins, J.M.; Santos, C.P., Functional Electrical Stimulation System for Drop Foot Correction Using a Dynamic NARX Neural Network. Machines 2021, 9, 253.
https://doi.org/10.3390/machines9110253

 

Chapters

J.M. Lopes, J. André, A. Pereira, M. Palermo, N. Ribeiro, J. Cerqueira, and C.P. Santos, “ASBGo: A Smart Walker for Ataxic Gait and Posture Assessment, Monitoring, and Rehabilitation,” in Robotic Technologies in Biomedical and Healthcare Engineering, 1st ed., D. Gupta, M. Sharma, V. Chaudhary, A. Khanna, Ed., Boca Raton: CRC Press, 2021, ch. 4, pp. 51 – 86.
https://doi.org/10.1201/9781003112273