Department of Electrical Engineering and Automation

Bionic and Rehabilitation Engineering

Human hand, robot hand

Bionic and Rehabilitation Engineering (BaRE) research group investigates engineering techniques for human-machine interfacing in order to support, augment and rehabilitate human motor function. Through advancements in basic physiology, motor control, and biomechanics, we tailor novel biosensing and control approaches, as well as design methodologies in order to push the boundaries of current state-of-the-art bionic limbs, exoskeletons and rehabilitation robots.

BaRE Research Group is located at the Aalto Health Technology House in Otakaari 3. In this unique environment, the group strives to combine the basic principles of human neuromuscular physiology with modern day technology in order to address some of the major questions in the areas of bionics and rehabilitation. BaRE is strongly committed to translational activities through which it ensures that the conducted research has a direct impact in the clinical and real-world environment.

IBA-setup

Bionic limbs, as a mean of functional restoration of the missing human function as well as human augmentation, are one of our main investigation topics. Through physiologically inspired interfacing links, we are aiming at providing natural and dexterous control of prosthetic systems. Moreover, we are interested in restoring the missing sensory components in order to “close the control loop” and provide an enhanced user experience. Finally, BaRE is focused on the user-centered design and therefore we are investigating the characteristics of clinical and daily application of bionic systems in order to understand and better quantify the performance of the developed solutions.

VR-setup

Wearable robots and robotic rehabilitation is a field in which we are striving to provide state-of-the-art technological solutions in order to deliver tailored therapies and assistance to those in need. Through intimate human-robot interfaces, we are looking to establish a collaborative and stimulating environment that can not only provide the required support, but also deliver highly engaging therapies at home or in clinics. While studying the interaction of the man and the machine at both biomechanical and neural levels, we are aiming to understand how body reacts to the applied technologies. Accordingly, we are looking to devise the best solutions that promote the ultimate synergy between the two.

Bionic and Rehabilitation Engineering research group is led by prof. Ivan Vujaklija ([email protected])

Group members

Ivan Vujaklija

Ivan Vujaklija

Dept of Electr Engin and Autom
Apulaisprofessori

Wendy Lam

Doctoral candidate

Latest publications

Online Finger Control Using High-Density EMG and Minimal Training Data for Robotic Applications

Michele Barsotti, Sigrid Dupan, Ivan Vujaklija, Strahinja Dosen, Antonio Frisoli, Dario Farina 2019 IEEE Robotics and Automation Letters

HD-EMG to Assess Motor Learning in Myoelectric Control

Sigrid S.G. Dupan, Ivan Vujaklija, Giulia De Vitis, Strahinja S. Dosen, Dario Farina, Dick F. Stegeman 2019 Converging Clinical and Engineering Research on Neurorehabilitation III

Predicting wrist kinematics from motor unit discharge timings for the control of active prostheses

Tamás Kapelner, Ivan Vujaklija, Ning Jiang, Francesco Negro, Oskar C. Aszmann, Jose Principe, Dario Farina 2019 Journal of NeuroEngineering and Rehabilitation

Functional outcome scores with standard myoelectric prostheses in below-elbow amputees

Stefan Salminger, Ivan Vujaklija, Agnes Sturma, Timothy Hasenoehrl, Aidan D. Roche, Johannes A. Mayer, Laura A. Hruby, Oskar C. Aszmann 2019 AMERICAN JOURNAL OF PHYSICAL MEDICINE AND REHABILITATION

Multiclass Detection and Tracking of Transient Motor Activation based on Decomposed Myoelectric Signals

Martyna Stachaczyk, Seyed Farokh Atashzar, Sigrid Dupan, Ivan Vujaklija, Dario Farina 2019 9th International IEEE EMBS Conference on Neural Engineering, NER 2019

Novel control strategies for upper limb prosthetics

Ivan Vujaklija 2019 Proceedings of the 4th International Conference on NeuroRehabilitation, ICNR 2018

Can Multi-DoF Training Improve Robustness of Muscle Synergy Inspired Myocontrollers?

Dennis Yeung, Dario Farina, Ivan Vujaklija 2019 Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019

Directional Forgetting for Stable Co-Adaptation in Myoelectric Control

Dennis Yeung, Dario Farina, Ivan Vujaklija 2019 Sensors (Basel, Switzerland)
More information on our research in the Research database.
Research database
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