Journal papers

27. J. Weng, E. Hashemi and A. Arami, "Natural Walking With Musculoskeletal Models Using Deep Reinforcement Learning, IEEE Robotics and Automation Letters, in press, (2021).

26. C. Landry, E. T. Hedge, R. L. Hughson, S. D. Peterson and A. Arami, "Accurate Blood Pressure Estimation during Activities of Daily Living: A Wearable Cuffless Solution, IEEE JBHI, in press, (2021).

25. Y. Cha and A. Arami, Quantitative Modeling of Spasticity for Clinical Assessment, Treatment and Rehabilitation,” Sensors, Vol 20 (18), (2020).

24. A. Arami, E. van Asseldonk, H. van der Kooij and E. Burdet, A Clustering-based Approach to Identify Joint Mechanical Impedance during Walking,” IEEE Trans. Neural Systems and Rehabilitation Engineering, Vol 28 (8), p. 1808-1816 (2020).

23. H.-Y. Huang, A. Arami, I. Farkhatdinov, D. Formica and E. Burdet, The Influence of Posture, Applied Force and Perturbation Direction on Hip Joint Viscoelasticity,” IEEE Trans. Neural Systems and Rehabilitation Engineering, Vol 28 (5), p. 1138-1145 (2020).

22. C. Landry, S. D. Peterson, and A. Arami, “Nonlinear Dynamic Modelling of the Blood Pressure Waveform: Towards an Accurate Cuffless Monitoring System,” IEEE Sensors Journal, Vol. 20 (10), p. 5368 - 5378 (2020). (early access link)

21. H.Y. Huang, I. Farkhatdinov, A. Arami, M. Bouri, and E. Burdet, Cable-driven robotic interface for lower limb neuromechanics identification,” IEEE Trans. Biomedical Engineering, in press (2020) arXiv:1908.02689. 

20. M. Mancuso, A. Arami, F. Becce, A. Farron, A. Terrier, and K. Aminian, “A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation,” Journal of Biomechanical Engineering, Vol. 142(1) doi:10.1115/1.4044388 (2020).

19. A. Arami, A. Poulakakis-Daktylidis, Y. F. Tai, and E. Burdet, “Prediction of Gait Freezing in Parkinsonian Patients: a Binary Classification Augmented with Time Series Prediction,” IEEE Transactions on Neural Systems and Rehabilitation Engineering , Vol. 27(9), p. 1909-1919 (2019).

18. A. Arami, J.-R. Delaloye, H. Rouhani, B.M. Jolles, and K. Aminian, “Loosening Detection in Smart Knee Prostheses: a vibration analysis,” Annals of Biomedical Engineering, Vol. 46(1), p. 97-107, (2018).

17. A. Arami, N. Saint Raymond, and K. Aminian, “An Accurate Wearable Foot Clearance Estimation System: towards a real time measurement system,” Vol. 17(8), p. 2542-49, IEEE Sensors (2017).

16. A. Latypova, A. Arami, F Becce, B Jolles-Haeberli, K Aminian, DP Pioletti and A. Terrier,“A Patient-specific Model of Total Knee Arthroplasty to Estimate Patellar Strain: A case study,” Clinical Biomechanics, Vol. 32, p. 212-19 (2016).

15. A. Arami, N. Vida Martins, and K. Aminian, “Locally Linear Neuro-fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator,” Vol. 15(11), p. 6271-8 IEEE Sensors (2015).

14. F. Massé, R. R. Gonzenbach, A. Arami, A. Paraschiv-Ionescu, A.R. Luft, K. Aminian. “Improving Activity Recognition Using a Wearable Barometric Pressure Sensor in Mobility-impaired Stroke Patients,” J. NeuroEngineering and Rehabilitation, Vol. 12(1), p. 72-86 (2015).

13. D. Forchelet, M. Simoncini, A. Arami, A. Bertsch, E. Meurville, K. Aminian , P. Ryser, and P. Renaud, “Enclosed Electronic System for Force Measurements in Knee Implants,” Sensors, Vol. 14(8), p. 15009-15021 (2014).

12. A. Arami, J.D. Rechenmann, and K. Aminian, “Reference-Free Calibration of Magnetic Sensors for Angle Estimation in Smart Knee Prostheses,” IEEE Sensors Vol. 14(6), p. 1788-96 (2014).

11. W. Hasenkamp, J. Villard, J.R. Delaloye, A. Arami, A. Bertsch, K. Aminian, P. Renaud, “Smart Instrumentation for Determination of Ligament Stiffness and Ligament Balance in Total Knee Arthroplasty,” Medical Engineering and Physics, Vol. 36(6), p. 721-725 (2014).

10. A. Arami, A. Vallet, K. Aminian, “Accurate Measurement of Concurrent Flexion-Extension and Internal-External Rotations in Smart Knee Prostheses,” IEEE Trans. Biomed. Eng., Vol. 60(9), p. 2504-2510 (2013).

 9. A. Arami, et al., “Instrumented Knee Prosthesis for Force and Kinematics Measurements,” IEEE Trans. Autom. Sci. and Eng., Vol. 10(3), p. 615-624 (2013).

 8. W. Hasenkamp, N. Thevenaz, J. Villard, A. Bertsch, A. Arami, K. Aminian, A. Terrier, P. Renaud, “Design and Test of a MEMS Strain-sensing Device for Monitoring Artificial Knee Implants,” Biomed. Microdevices, Vol. 15, p. 831-839 (2013)

 7. A. Arami, J. Miehlbradt, K. Aminian, “Accurate Internal-external Rotation Measurement in Total Knee Arthroplasty,” J. Biomechanics, Vol. 45(11), p. 2023-2027 (2012).

 6. A. Arami, C. Lucas, M. Nili-Ahmadabadi, “Attention to Multiple Local Critics in Decision Making and Control,” Expert Syst. with Appli., Vol. 37(10), p. 6931-6941 (2010).

 5. M. Javan Roshtkhari, A. Arami, C. Lucas, “Imitative Learning Based Emotional Controller for Unknown Systems with Unstable Equilibrium,” Int. J. Intelligent Computing & Cybernetics, Vol. 3(2), p. 334-359 (2010).

 4. M.R. Jamali, M. Dehyadegari, A. Arami C. Lucas, Z. Navabi, “Real-Time Embedded Emotional Controller,” Neural Comp. and Appli., Vol. 19 (1), 13-19 (2010).

 3. M.R. Jamali, A. Arami, M. Dehyadegari, C. Lucas, Z. Navabi, “Emotion on FPGA: Model Driven Approach,” Expert Sys. with Appli., Vol. 36 (4), 7369-7378  (2009).

 2. M.R. Jamali, A. Arami, B. Hosseini, B. Moshiri, C. Lucas, “Real Time Emotional Control for Anti-Swing and Positioning Control of SIMO Overhead Traveling Crane,” Int. J. of Innovative Computing, Information, and Control, Vol.4 (9), 2333-2344 (2008).

 1. A. Arami, et al., “Learning Cluster Type and Dissimilarity Metric for Each Cluster Using a Set of Possible Cluster Types,” CSI J. Computer Sci. & Eng., Vol. 5, p. 33-45 (2007).