R. Atallah, R.A. Leijendekkers, T.J. Hoogeboom, and J.-P.M. Frölke, Complications of bone-anchored prostheses for individuals with an extremity amputation: A systematic review, Plos One, vol. 13, n. 8, 2018.

R.A. Leijendekkers, G. van Hinte, J.-P.M. Frölke, H. van de Meent, F. Atsma, M.W.G. Nijhuis-van der Sanden, and T.J. Hoogeboom, Functional performance and safety of bone-anchored prostheses in persons with a transfemoral or transtibial amputation: a prospective one-year follow-up cohort study, Clinical Rehabilitation, vol. 33, issue. 3, pp. 450-464, 2018.

R. Atallah, H. van de Meent, L. Verhamme, J.-P.M. Frölke, and R.A. Leijendekkers, Safety, prosthesis wearing time and health-related quality of life of lower extremity bone-anchored prostheses using a press-fit titanium osseointegration implant: A prospective one-year follow-up cohort study, Plos One, vol. 15, n. 3, 2020.

D. Reetz, R. Atallah, J. Mohamed, H. van de Meent, J.-P.M. Frölke, and R.A. Leijendekkers, Safety and performance of bone-anchored prostheses in persons with a transfemoral amputation: A 5-year follow-up study, Journal of Bone and Joint Surgery, vol. 102, n. 15, pp. 1329-1335, 2020.

V.G.M. Kooiman, H.G. van Keeken, N.M. Maurits, V. Weerdesteyn, and T. Solis-Escalante, Rhythmic neural activity is comodulated with short-term gait modifications during first-time use of a dummy prosthesis: A pilot study, Journal of NeuroEngineering and Rehabilitation, vol. 17, n. 134, 2020.

L. de Vree and R. Carloni, Deep reinforcement learning for physics-based musculoskeletal simulations of healthy subjects and transfemoral prostheses' users during normal walking, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 607-648, 2021.

T.M. Brugo, E. Maccaferri, D. Cocchi, L. Mazzocchetti, L. Giorgini, D. Fabiani, A. Zucchelli, Self-sensing hybrid composite laminate by piezoelectric nanofibers interleaving , Composites Part B: Engineering , vol. 212, pp. 108673, 2021.

J. Bruinsma and R. Carloni, IMU-based deep neural networks: Prediction of locomotor and transition intentions of an osseointegrated transfemoral amputee, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1079-1088, 2021.

R.V. Schulte, E.C. Prinsen, H.J. Hermens, and J.H. Buurke, Genetic algorithm for feature selection in lower limb pattern recognition, Frontiers in Robotics and AI - Biomedical Robotics, vol. 8:710806, 2021.

J. Tabucol, T.M. Brugo, M. Povolo, M. Leopaldi, M. Oddsson, R. Carloni, and A. Zucchelli, Structural FEA-based design and functionality verification methodology of energy-storing-and-releasing prosthetic feet, MDPI Applied Sciences: Biomedical Engineering, vol. 12, issue 1, n. 97, 2022.

R.V. Schulte, M. Zondag, J.H. Buurke and E.C. Prinsen, Multi-day EMG-based knee joint torque estimation using hybrid neuromusculoskeletal modelling and convolutional neural networks, Frontiers in Robototics and AI, vol. 9, 2022.

J. Tabucol, V.G.M. Kooiman, M. Leopaldi, T.M. Brugo, R.A. Leijendekkers, G. Tagliabue, V. Raveendranathan, E. Sotgiu, P. Benincasa, M. Oddsson, N. Verdonschot, R. Carloni, and A. Zucchelli, The functionality verification through pilot human subject testing of MyFlex-δ: An ESR foot prosthesis with spherical ankle joint, MDPI Applied Sciences, vol. 12, issue 9, n. 4575, 2022.

A. Mazumder, E.E.G. Hekman, and R. Carloni, An adaptive hybrid control architecture for an active transfemoral prosthesis, IEEE Access, vol. 10, pp. 52008-52019, 2022.

G. Selleri, M.E. Gino, T.M. Brugo, R. D'Anniballe, J. Tabucol, M.L. Focarete, R. Carloni, D. Fabiani, and A. Zucchelli, Self-sensing composite material based on piezoelectric nanofibers, Elsevier Materials & Design, vol. 219, pp. 110787, 2022.

R.V. Schulte, E.C. Prinsen, J.H. Buurke, and M. Poel, Adaptive lower limb pattern recognition for multi-day control, MDPI Sensors (section Wearables), vol. 22, issue 17, n. 6351, 2022.

A.J.C Adriaenssens, V. Raveendranathan, and R. Carloni, Learning to ascend stairs and ramps: Deep reinforcement learning for a physics-based human musculoskeletal model, MDPI Sensors, vol. 22, issue 21, n. 8479, 2022.

D. Marcos Mazon, M. Groefsema, L.R.B. Schomaker, and R. Carloni, IMU-based classification of locomotion modes, transitions, and gait phases with convolutional recurrent neural networks, MDPI Sensors, vol. 22, issue 22, n. 8871, 2022.

G. Selleri, F. Mongioi, E. Maccaferri, R. D’Anniballe, L. Mazzocchetti, R. Carloni, D. Fabiani, A. Zucchelli, and T.M. Brugo, Self-sensing soft skin based on piezoelectric nanofibers, MDPI Polymers, vol. 15, issue 2, n. 280, 2023.

V.G.M. Kooiman, E.S. van Staveren, R.A. Leijendekkers, J.H. Buurke, N. Verdonschot, E.C. Prinsen, and & V. Weerdesteyn, Testing and evaluation of lower limb prosthesis prototypes in people with a transfemoral amputation: A scoping review on research protocols, Journal of NeuroEngineering and Rehabilitation, vol. 20, n. 1, 2023.

E.C. Prinsen, MyLeg: Ontwikkeling van de EMG-aansturing van een nieuwe bovenbeenprothese, International Society for Prosthetics and Orthotics Nederland Conference, Utrecht (The Netherlands), 2019.

J.-P.M. Frölke, R. Atallah, R.A. Leijendekkers, L. Verhamme, and H. van de Meent, Bone-anchored osseointegration implants for transtibial amputees: Surgical aspects and implant design, ISPO World Congress, Kobe (Japan), 2019.

H. van de Meent, R.A. Leijendekkers, M.C. Warlé, and J.-P.M. Frölke, Bone-anchored osseointegrated prostheses for patients with a transfemoral or transtibial amputation: Indication criteria with emphasis on vascular patients, ISPO World Congress, Kobe (Japan), 2019.

R.V. Schulte, E.C. Prinsen, and J.H. Buurke, Up to MyLeg with data: Human motor intent recognition using multi-array EMG and machine learning, Society for Movement Analysis Laboratories in the Low Lands Conference, Amsterdam (The Netherlands), 2019.

R.V. Schulte, E.C. Prinsen, E.S. van Staveren, R.P.G. Paassen, H.J. Hermens, and J.H. Buurke, Motor intent recognition using deep learning ensemble to be used in prosthetic control , European Society for Movement Analysis in Adults and Children Conference, Amsterdam (The Netherlands), and Elsevier Gait & Posture, vol 73, pp. 484-485, 2019.

D. Fabiani, A. Zucchelli, T. M. Brugo, E. Maccaferri, D. Cocchi, G. Selleri, F. Grolli, and M. Speranza, Nanofibrous piezoelectric structures for composite materials to be used in electrical and electronic components, Nordic Insulation Symposium on Materials, Components and Diagnostic, Tampere (Finland), 2019.

R.V. Schulte, E.C. Prinsen, E.S. van Staveren, H.J. Hermens, and J.H. Buurke, Feature selection for motor intent recognition using evolutionary algorithms , International Society for Electromyography and Kinesiology Conference, 2020.

R.V. Schulte, E.C. Prinsen, and J.H. Buurke, Up to MyLeg with data: Human motor intent recognition using multi-array EMG and machine learning , International Society for Prosthetics and Orthotics Nederland Conference, Houten (The Netherlands), 2020.

A. Mazumder and R. Carloni, Mechatronic design & adaptive control of a lower limb prosthesis, IEEE/RAS-EMBS International Conference Biomedical Robotics and Biomechatronics, New York (USA), 2020.

V. Raveendranathan and R. Carloni, Musculoskeletal model of an osseointegrated transfemoral amputee in OpenSim, IEEE/RAS-EMBS International Conference Biomedical Robotics and Biomechatronics, New York (USA), 2020.

H. Lu, L.R.B. Schomaker, and R. Carloni, IMU-based deep neural networks for locomotor intention prediction, IEEE/RSJ International Conference Intelligent Robots and Systems, Las Vegas (USA), 2020.

D. Fabiani, G. Selleri, F. Grolli, and M. Speranza, Piezoelectric nanofibers for multifunctional composite materials, IEEE Conference on Electrical Insulation and Dielectric Phenomena, East Rutherford (USA), 2020.

D. Fabiani, A. Zucchelli, T. M. Brugo, G. Selleri, F. Grolli, and M. Speranza, Core-shell piezoelectric nanofibers for multifunctional composite materials, IEEE International Conference on Dielectrics, Valencia (Spain), 2020.

E. Van Staveren, R. Schulte, R. Paassen, E. Prinsen, H. Hermens, and J. Buurke, Ontwikkeling van een slimme en intuïtive beenprothese voor mensen met een transfxmorale amputatie, Orthopedische Techniek, 2018.

R. Atallah, R.A. Leijendekkers, L. Verhamme, H. van de Meent, and J.-P.M. Frölke, Im Knochen verankerte osseointegrierte Implantate für Unterschenkelamputierte: chirurgische Aspekte und Implantatdesign, Orthopädie Technik, 2019.

H. van de Meent, R.A. Leijendekkers, M. C. Warlé, and J.-P.M. Frölke, Knochenverankerte osseointegrierte Prothesen für Patienten mit Oberoder Unterschenkelamputation — Indikationskriterien mit Schwerpunkt Gefäßpatienten, Orthopädie Technik, 2019.

D. Reetz and R.A. Leijendekkers, Een intelligente en intuïtieve botverankerde prothese, Kort & Krachtig, 2019.

R. van EE, R.A. Leijendekkers, H. van de Meent, and J.-P.M. Frölke, Regeneratie van bot en spieren met gebruik van een botverankerde prothese, Nederlands tijdschrift voor revalidatiegeneeskunde, vol. 41, n. 5, 2019.

J.-P.M. Frölke, R. Atallah, R.A. Leijendekkers, L. Verhamme, and H. van de Meent, Bone-anchored osseointegration implants for transtibial amputees: Surgical aspects and implant design, How to treat magazine, 2019.

H. van de Meent, R.A. Leijendekkers, M.C. Warlé, and J.-P.M. Frölke, Bone-anchored osseointegrated prostheses for patients with a transfemoral or transtibial amputation: Indication criteria with emphasis on vascular patients, How to treat magazine, 2019.

R.A. Leijendekkers, Botverankerde prothese voor patiënten met een beenamputatie, Fysiopraxis, 2020.

G. Selleri, Nanostructured piezoelectric materials for the design and development of self-sensing composite materials and energy harvesting devices, Doctoral degree, Dept. of Electrical Engineering, University of Bologna, Italy, 2022.

M.E. Gino, Nanostructured smart materials as functional components of medical devices, Doctoral degree, Dept. of Chemistry, University of Bologna, Italy, 2022.

J. Tabucol, Study of composite elastic elements for transfemoral protheses: The MyLeg project, Double doctoral degree, University of Groningen (The Netherlands) - University of Bologna (Italy), 31 August 2022.

R. Schulte, Up to one's knees in data - Data-driven intent recognition using electromyography for the lower limb, Doctoral degree, Dept. of Biomedical Signals and Systems, University of Twente, The Netherlands, 2022.

G. Tagliabue, Design of an artificial articulation for the ankle joint of a transfemoral prosthesis: Conceptual study, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2019.

R. van Dijk, Real-time locomotor action prediction for transfemoral prosthetic leg users, Master's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2019.

H. Lu, A lower limb specialized motor intent recognition system using neural networks, Master's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2019.

M. Baltasar Badaya, Conceptual design of an active transfemoral prosthetic leg adaptable to different activities of daily living, Master's degree in Biomedical Engineering, University of Groningen, The Netherlands, 2019.

C. Labajo Villaverde, A passive transfemoral prosthesis: Ensuring toe clearance, Master's degree in Biomedical Engineering, University of Groningen, The Netherlands, 2019.

W.A. Bruinsma, A conceptual design for a test setup for the MyLeg transfemoral prosthesis, Master's degree in Biomedical Engineering, University of Groningen, The Netherlands, 2019.

R.P.G. Paassen, Feature and muscle selection and evaluation of EMG and mechanical sensors at the lower limb in order to classify walking activities of daily life, Master's degree in Biomedical Engineering, University of Twente, The Netherlands, 2019.

R.V. Schulte, Up to MyLeg with data: Human motor intent recognition using multi-array EMG and machine learning, Master's degree in Biomedical Engineering, University of Twente, The Netherlands, 2019.

A. Poli, Study and characterization of materials for energy harvesting, Master's degree in Electrical Energy Engineering, University of Bologna, Italy, 2019.

M. Zaccarini, Study and realization of a position sensor with piezoelectric aligned coaxial nanofibers, Master's degree in Electrical Energy Engineering, University of Bologna, Italy, 2019.

A. Galli, Design of a knee joint in a fully passive transfemoral prosthesis, Master's degree in Automation Engineering, University of Bologna, Italy, 2019.

P. Cecchini, Realization of a position sensor by integration of aligned coaxial nanofibers, Master's degree in Energy Engineering, University of Bologna, Italy, 2019.

N.M. Bosch, The difference in functional parameters between socket prosthesis and osseointegrated prostheses of transfemoral amputees compared to an able-bodied group, Master's degree in Medicine, Radboud University Medical Center, The Netherlands, 2019.

M. Leopaldi, Optimization, manufacturing and mechanical test of an ESR foot prosthesis: MyLeg prototype 1, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2020.

F. Tangerini, Study and design of knee joint for prosthetic concerning the MyLeg project, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2020. (Research performed at the University of Groningen, The Netherlands)

P. Benincasa, Optimization and manufacturing of MyLeg prototype 1 and improvement for MyLeg prototype 2, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2020.

J. Herijgers, Estimation of lower limb joint kinematics using electromyography and machine learning, Master's degree in Biomedical Engineering, University of Twente, The Netherlands, 2020.

P. Ebrahimi, Estimation of ground reaction forces based on kinematics in unilateral transfemoral amputee patients: A machine learning approach, Master's degree in Biomedical Engineering, University of Twente, The Netherlands, 2020.

R.D. Frieswijk, The development of a comfortable in-liner sEMG system, Master's degree in Biomedical Engineering, University of Twente, The Netherlands, 2020.

R. Castaldini, Realization of a position sensor by integration of piezoelectric aligned coaxial nanofibers, Master's degree in Energy Engineering, University of Bologna, Italy, 2020.

F. Franchini, Study and realization of piezoelectric flexible samples for sensing applications, Master's degree in Energy Engineering, University of Bologna, Italy, 2020.

L. Bordoni, Study and realization of piezoelectric flexible devices for sensing applications, Master's degree in Energy Engineering, University of Bologna, Italy, 2020.

F. Lepri, Study and realization of polarization processes for nanofibrous and flexible piezoelectric sensors, Master's degree in Energy Engineering, University of Bologna, Italy, 2020.

G. Tanganelli, Study of polarization effect on the electrical response of ceramic nanofibrous piezoelectric samples, Master's degree in Energy Engineering, University of Bologna, Italy, 2020.

E. Braam, Reactieve balans bij mensen met een transfemorale amputatie die een osseointegratie- of kokerprothese dragen, Master's degree in Medicine, Radboud University Medical Center, The Netherlands, 2020.

E. Sotgiu, Progressive spring for energetic storage in transfemoral prosthesis MyLeg, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2021. (Research performed at the University of Groningen, The Netherlands)

M. Mellini, Optimization, manufacturing and mechanical test of the elastic elements of a semi-active foot prosthesis: The MyLeg prototype P2.2, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2021.

M. Varotto, Optimization and manufacturing of a semi-active foot prosthesis’ gearmotor: The MyLeg prototype P2.2, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2021.

M. Zondag, You get the best of both worlds! sEMG to knee torque mapping using (hybrid) neuromusculoskeletal modelling and machine learning, Master's degree in Biomedical Engineering, University of Twente, The Netherlands, 2021.

L. Y. Hut, An investigation into the structural behaviour of the MyLeg knee joint design, Master's degree in Mechanical Engineering, University of Groningen, The Netherlands, 2021.

A. Gariboldi, Design of a variable stiffness actuator in MyLeg transfemoral prosthesis, Master's degree in Mechanical Engineering, University of Bologna, Italy, 2021. (Research performed at the University of Groningen, The Netherlands)

F. Rotteveel, Low-level control design for the variable stiffness knee of the MyLeg transfemoral prosthesis, Master's degree in Biomedical Engineering, University of Groningen, The Netherlands, 2021.

J.J. van Laar, Test setup for the Myleg prosthesis - Design and implementation of a test setup to simulate the hip joint for testing transfemoral prosthesis, Master's degree in Biomedical Engineering, University of Groningen, The Netherlands, 2021.

D. Marcos Mazon Convolutional recurrent neural network: IMU-based locomotion intent and gait phase prediction for transfemoral amputees, Master's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2021.

R. De Vries, Control of a mechatronic test setup for the MyLeg transfemoral prosthesis, Master's degree in Biomedical Engineering, University of Groningen, The Netherlands, 2021.

Levi Schilder, Modeling musculoskeletal dynamics of the Myleg transfemoral prosthesis in OpenSim, Master's degree in Biomedical Engineering, University of Groningen, The Netherlands, 2022.

Colin P. Kok, Control and data analysis of a mechatronic test set-up for a transfemoral prosthesis, Master's degree in Industrial Engineering and Management, University of Groningen, The Netherlands, 2022.

Brown N. Ogum, Training a physics-based osseointegrated transfemoral amputee model with a reduced state observation using deep reinforcement learning, Master's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

Chandan M. Sreedhara, Deep reinforcement learning and reward shaping for a musculoskeletal model of a transfemoral amputee with a prosthesis during normal walking, Master's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

J.D. Borst, Real-time gait classification by dynamic time warping using the thigh angle in the sagittal plane, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2019.

E. van Emmerik, Architectural control on biomechatronic transfemoral prosthesis, Bachelor's degree in Mechatronics, Saxion University of Applied Sciences (The Netherlands), 2019. (Research performed at the University of Groningen, The Netherlands)

M. Perazzoli, Dynamic model for the parameters determination of humanoid robot and active transfemoral prostheses, Bachelor's degree in Automation Engineering, University of Bologna, Italy, 2019.

S. Billi, Energetic mapping of an ankle joint prosthesis, Bachelor's degree in Automation Engineering, University of Bologna, Italy, 2020.

L. de Vree, Deep reinforcement learning for physics-based musculoskeletal simulations of healthy subjects and transfemoral prosthesis users during normal walking, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2020.

J. Hierck, Design of a software integration interface between high- and mid-level control of a powered osseointegrated transfemoral prosthetic leg, Bachelor's degree in Biomedical Engineering, University of Twente, The Netherlands, 2020.

D. Reuling, Balance capacities in unilateral transfemoral amputees: Comparing osseointegrated with socket prosthesis, Bachelor's degree in Biomedical Science, Radboud University Medical Center, The Netherlands, 2020.

J. Bruinsma, IMU-based deep neural networks: Prediction of locomotion and transition intentions for an osseointegrated transfemoral amputee, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2021.

S. de Boer, Deep reinforcement learning for physics-based musculoskeletal model of a transfemoral amputee with a prosthesis walking on uneven terrain, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2021.

R. Petrescu, Deep reinforcement learning for physics-based musculoskeletal simulations of transfemoral prosthesis' users during the transition between normal walking and stairs ascending, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2021.

S. Mytaros, Level ground walking for healthy and transfemoral amputee models: Deep reinforcement learning with phasic policy gradient optimization, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2021.

A. Adriaenssens, Testing for generality of a proximal policy optimiser for advanced human locomotion beyond walking, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2021.

S. Surana, Evaluating deep reinforcement learning algorithms for physics-based musculoskeletal transfemoral model with a prosthetic leg performing ground-level walking, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2021.

M. van Wouden, Deep reinforcement learning for physics-based musculoskeletal simulations of an osseointegrated transfemoral amputee model during normal walking, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

A. Eijpe, Learning to descend stairs and ramps: Deep reinforcement learning for a physics-based human musculoskeletal model, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

M. Falzari, Autoencoder-based deep reinforcement learning for ground-level walking of human musculoskeletal model, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

A. Voinea, Scalable distributed learning with PPG-IMPALA for physics-based musculoskeletal models, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

C.A. Lange, Towards smooth policies in deep reinforcement learning for musculoskeletal simulations of human walking, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

R. Kock, Exploring physics-based human musculoskeletal control using deep reinforcement learning, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.

R. Luinge, Deep reinforcement learning for gait generation of a musculoskeletal model in a physics-based simulations on even and uneven terrain, Bachelor's degree in Artificial Intelligence, University of Groningen, The Netherlands, 2022.