Department of Electrical Engineering and Automation

Bionic and Rehabilitation Engineering

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.
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

Assistant Professor
T410 Dept. Electrical Engineering and Automation

Latest publications

Long-term Functional and Clinical Outcome of Combined Targeted Muscle Reinnervation and Osseointegration for Functional Bionic Reconstruction in Transhumeral Amputees : A Case Series

Agnes Sturma, Anna Boesendorfer, Clemens Gstoettner, Benedikt Baumgartner , Stefan Salminger, Dario Farina, Rickard Brånemark, Ivan Vujaklija, Gerhard M. Hobusch, Oskar C. Aszmann 2024 Journal of Rehabilitation Medicine

High-density EMG reveals atypical spatial activation of the gastrocnemius during walking in adolescents with Cerebral Palsy

Maxwell Thurston, Mika Peltoniemi, Alessandra Giangrande, Ivan Vujaklija, Alberto Botter, Juha Pekka Kulmala, Harri Piitulainen 2024 Journal of Electromyography and Kinesiology

High-fidelity interfacing for bionic rehabilitation

Ivan Vujaklija 2024 Progress in Motor Control: from Neuroscience to Patient Outcomes

Adaptive HD-sEMG decomposition: towards robust real-time decoding of neural drive

Dennis Yeung, Francesco Negro, Ivan Vujaklija 2024 Journal of Neural Engineering

Minimum Time Headway in Platooning Systems Under the MPF Topology for Different Wireless Communication Scenario

Elham Abolfazlilangeroudi, Bart Besselink, Themistoklis Charalambous 2023 IEEE Transactions on Intelligent Transportation Systems

Machine learning based iterative learning control for non-repetitive time-varying systems

Yiyang Chen, Wei Jiang, Themistoklis Charalambous 2023 International Journal of Robust and Nonlinear Control

Consensus-based Networked Tracking in Presence of Heterogeneous Time-Delays

Mohammadreza Doostmohammadian, Mohammad Pirani, Usman A. Khan 2023 10th RSI International Conference on Robotics and Mechatronics, ICRoM 2022

Distributed Constraint-Coupled Optimization over Unreliable Networks

Mohammadreza Doostmohammadian, Usman A. Khan, Alireza Aghasi 2023 10th RSI International Conference on Robotics and Mechatronics, ICRoM 2022

DTAC-ADMM: Delay-Tolerant Augmented Consensus ADMM-based Algorithm for Distributed Resource Allocation

M. Doostmohammadian, W. Jiang, T. Charalambous 2023 2022 IEEE 61st Conference on Decision and Control (CDC)

Sensor fault detection and isolation via networked estimation: rank-deficient dynamical systems

M. Doostmohammadian, H. Zarrabi, T. Charalambous 2023 International Journal of Control
More information on our research in the Aalto research portal.
Research portal
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