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

Department of Electrical Engineering and Automation
Assistant Professor

Dennis Yeung

Department of Electrical Engineering and Automation
Doctoral Candidate

Shui Lam

Department of Electrical Engineering and Automation
Doctoral Candidate

Latest publications

Bionic and Rehabilitation Engineering, Department of Electrical Engineering and Automation

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

Publishing year: 2019
Bionic and Rehabilitation Engineering, Department of Electrical Engineering and Automation

Directional Forgetting for Stable Co-Adaptation in Myoelectric Control

Publishing year: 2019 Sensors (Basel, Switzerland)
Bionic and Rehabilitation Engineering, Department of Electrical Engineering and Automation

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

Publishing year: 2019 Journal of NeuroEngineering and Rehabilitation
Department of Electrical Engineering and Automation, Bionic and Rehabilitation Engineering

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

Publishing year: 2019 IEEE Robotics and Automation Letters
Not published at Aalto University, Bionic and Rehabilitation Engineering

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

Publishing year: 2019 AMERICAN JOURNAL OF PHYSICAL MEDICINE AND REHABILITATION
Not published at Aalto University, Bionic and Rehabilitation Engineering

HD-EMG to Assess Motor Learning in Myoelectric Control

Publishing year: 2019
Department of Electrical Engineering and Automation, Bionic and Rehabilitation Engineering

Novel control strategies for upper limb prosthetics

Publishing year: 2019
More information on our research in the Research database.
Research database
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