[robotics-worldwide] [journals] CFP: Special Issue "Autonomy and Intelligence in Neurorehabilitation Robotic and Prosthetic Technologies" in JMRR

Mahdi Tavakoli mahdi.tavakoli at ualberta.ca
Wed Jul 10 10:07:12 PDT 2019

Dear Colleagues,

Please consider submitting papers to the Journal of Medical Robotics
Research's special issue on

"Autonomy and Intelligence in Neurorehabilitation Robotic and Prosthetic

Aims and Scope:

Advanced neurorehabilitation robotic and powered prosthetic technologies
are revolutionizing the field of motor rehabilitation and physical
assistance. Using these technologies, the affected sensorimotor
capabilities of individuals with disabilities can be augmented with the
goal of instant motor enhancement (i.e., assistance) or gradual motor
recovery (i.e., rehabilitation). In this context, two core technologies are
neurorehabilitation robotic systems and bionic prosthetic devices.

   1. Neurorehabilitation robotic systems are designed mainly to assist
   post-stroke patients and those with spinal cord injuries. The goal is to
   re-train the neural system, through plasticity, to recover its lost motor
   capacity. For this purpose, it is useful to have technologies to facilitate
   sensorimotor augmentation for people with disabilities, to assist their
   motor control in specific tasks and enhance their perception to stimulate
   neural activities. This is done to trigger neuroplasticity at both the
   synaptic and non-synaptic levels, and extend the exposure of patients to an
   interactive environment that activates various sensorimotor loops of the
   nervous system. Although this technology has shown potential for
   accelerating the recovery process, there still exist several research
   questions and challenges that should be addressed. It is believed that
   introducing autonomy and augmenting intelligence in rehabilitation robotic
   technology, together with closing the loop of intention-detection and
   therapy-generation in a transparent and agile manner, will enable the
   production of effective adaptive therapies that are compatible with the
   biomechanical characteristics of humans and the nonlinear behavior of
   sensorimotor performance. During the last decade, this topic has become the
   center of attention in many engineering-oriented developments and clinical
   evaluation studies.

   2. Advanced prosthetic technologies incorporate means of intention
   detection through the processing of bio-signals (obtained via
   electromyography, mechanomyography, force-myography, or
   electroencephalography) to decode the intended motor commands and control
   bionic limbs. The ultimate goal is to generate agile and intuitive means of
   control that maximize the independence of the user in performing activities
   of daily living. In addition, a great deal of attention has been recently
   focused on restoring users' sense of touch and proprioception that were
   lost due to the amputation. In spite of this, there is still a big gap
   between systems tested in research laboratories and commercial systems
   currently available. This calls for more advanced research and development
   to allow for the proper augmentation and substitution of biological limbs
   with intelligent and autonomous prosthetic technologies.

Intention detection, intelligent control, and agile transparent interfacing
are challenges facing neurorehabilitation and assistive technologies,
addressing which can significantly enhance the functionality and
performance of these systems. The ultimate hope is that with the use of
smart mechanisms, biosignal processing, biofeedback technologies, and
advanced control algorithms, the next generation of neurorobotic systems
will enable humans to go beyond the affected physiological competence and
achieve superior performance in motor generation and perceptual

In this special issue, we aim to collect state-of-the-art research to
understand the existing challenges, potential solutions, and future vision
of this field. The technical focus of the special issue will be on topics
related to autonomy and control, robot learning, biofeedback, machine
intelligence, reinforcement learning, and bio-signal processing algorithms
that can enhance the current state of rehabilitation robotic and prosthetic
technologies with the goal of optimizing the clinical outcomes.

Topics of Interest:

   1. Autonomy and intelligence in neurorobotics
   2. Man-machine interfaces for augmenting motor control
   3. Multimodal and multichannel bio-signal processing in neurorobotics
   4. Learning-from-demonstration for intelligent control of rehabilitation
   5. Human-robot interaction through intelligent robotic rehabilitation
   6. Smart assistive architectures for augmenting sensorimotor capabilities
   7. Biofeedback and haptics in robotic rehabilitation and prosthetic
   8. Advanced control for agile and transparent interaction with
   neurorobotic systems


   1. Rehabilitation Robotics
   2. Active Prosthetic Limbs
   3. Powered Assistive Technologies
   4. Exoskeletons
   5. Man-Machine Interfacing
   6. Human-Machine Interaction
   7. Intelligent Control
   8. Machine Learning
   9. Reinforcement Learning
   10. Biofeedback
   11. Haptics


   1. Manuscript Due: October 1, 2019
   2. First Round of Reviews: November 1, 2019
   3. Manuscript Revisions and Final Decision: January 15, 2020
   4. Publication Date: March 2020

Guest Editors:
S. Farokh Atashzar [f.atashzar at nyu.edu] will join New York University, USA,
in August 2019, as an Assistant Professor. He is currently a senior
postdoctoral scientist working on neurorehabilitative and prosthetic
technologies, at the Department of Bioengineering, Imperial College London,
UK. From Feb. 2017 until Sept. 2018, Farokh was a postdoctoral research
associate at the Canadian Surgical Technologies and Advanced Robotics
center, Canada. In 2016, Farokh obtained his PhD in Electrical and Computer
Engineering at the University of Western Ontario, Canada. Farokh has been
the recipient of several awards including the NSERC Post-Doctoral
Fellowship in 2018. His national ranking in Canada for the NSERC PDF
competition was five. His research has been reported in more than 30
journal papers, 30 peer-reviewed conference papers, and 2 book chapters.
Farokh served as the guest editor for a special issue on "Intelligent
Human-Robot Interaction for Rehabilitation and Physical Assistance," in *IEEE
Robotics and Automation Letters*. He was the Co-Chair of the Symposium on
"Advanced Bio-Signal Processing for Rehabilitation and Assistive Systems,"
at the 2017 IEEE Global Conference on Signal and Information Processing
(GlobalSIP), and; Co-chair of the Symposium on "Advanced Bio-Signal
Processing and Machine Learning for Medical Cyber-Physical Systems," at
IEEE GlobalSIP 2018. He has served as an organizer for several workshops,
including the workshop on "Sensorimotor Augmentation in NeuroRehabilitation
Robotic and Prosthetic Technologies" at the 2019 International Symposium on
Medical Robotics, Georgia Institute of Technology, US, and the workshop on
"Autonomy and Intelligence in Robotic Rehabilitation and Assistive
Technologies", at RehabWeek2019, Toronto, Canada.

Mahdi Tavakoli [mahdi.tavakoli at ualberta.ca] is a Professor in the
Department of Electrical and Computer Engineering, University of Alberta,
Canada. He received his BSc and MSc degrees in Electrical Engineering from
Ferdowsi University and K.N. Toosi University, Iran, in 1996 and 1999,
respectively. He received his PhD degree in Electrical and Computer
Engineering from the University of Western Ontario, Canada, in 2005. In
2006, he was a post-doctoral researcher at Canadian Surgical Technologies
and Advanced Robotics (CSTAR), Canada. In 2007-2008, he was an NSERC
Post-Doctoral Fellow at Harvard University, USA. Dr. Tavakoli's research
interests broadly involve the areas of robotics and systems control.
Specifically, his research focuses on haptics and teleoperation control,
medical robotics, and image-guided surgery. Dr. Tavakoli is the lead author
of Haptics for Teleoperated Surgical Robotic Systems (World Scientific,
2008). He is an Associate Editor for *IEEE/ASME Transactions on
Mechatronics, Journal of Medical Robotics Research, Control Engineering
Practice, and Mechatronics*.

Dario Farina [d.farina at imperial.ac.uk] is currently Full Professor and
Chair in Neurorehabilitation Engineering at the Department of
Bioengineering, Imperial College London, UK. He has previously been Full
Professor at Aalborg University, Aalborg, Denmark, (until 2010) and at the
University Medical Center G?ttingen, Georg-August University, Germany,
where he founded and directed the Department of Neurorehabilitation Systems
(2010-2016). Among other awards, he has received the Honorary Doctorate
degree in Medicine from Aalborg University, Denmark (2018), the IEEE
Engineering in Medicine and Biology Society Early Career Achievement Award
(2010), The Royal Society Wolfson Research Merit Award (2016), and
Distinguished Lecturer IEEE (2014). His research focuses on biomedical
signal processing, neurorehabilitation technology, and neural control of
movement. Within these areas, he has (co)-authored more than 450 papers in
peer-reviewed journals, over 500 conference papers/abstracts, book
chapters, and encyclopedia contributions, and has been the Editor of the
IEEE/Wiley books *Introduction to Neural Engineering for Motor
Rehabilitation and Surface Electromyography: physiology, engineering and
applications*. Professor Farina has been the President of the International
Society of Electrophysiology and Kinesiology (ISEK) (2012-2014) and is
currently the Editor-in-Chief of the official Journal of this Society,
the *Journal
of Electromyography and Kinesiology*. He is also currently an Editor
for *Science
Advances, IEEE Transactions on Biomedical Engineering, IEEE Transactions on
Medical Robotics and Bionics, Wearable Technologies*, and the *Journal of
Physiology*. He has also been Guest Editor for several special issues, such
as for *IEEE Transactions* on Neural Systems and Rehabilitation
Engineering, Biomedical Signal Processing and Control, *Neural Plasticity,
The Journal of Physiology, and Frontiers in Neurorobotics*. Professor
Farina has been elected Fellow of IEEE, AIMBE, ISEK, EAMBES.

Rajni V. Patel [rvpatel at uwo.ca] received his PhD degree in Electrical
Engineering from the University of Cambridge, UK and currently holds the
position of Distinguished University Professor and Tier-1 Canada Research
Chair in the Department of Electrical and Computer Engineering with cross
appointments in the Department of Surgery and the Department of Clinical
Neurological Sciences at University of Western Ontario, Canada. Dr. Patel
is a founding member of CSTAR (Canadian Surgical Technologies and Advanced
Robotics) and serves as its Director of Engineering. He has over 35 years
of research experience in the design, simulation, prototyping and control
of advanced robotic and mechatronic systems. Since 2000, Dr. Patel's
research has focused on robotic and other mechatronic applications in
minimally invasive surgery and therapy, haptics and teleoperation, and
surgical training and skills assessment, and more recently on robotic
applications for post-stroke rehabilitation and other neurological movement
disorders. Dr. Patel is a Fellow of the Royal Society of Canada, the
Canadian Academy of Engineering, the IEEE, and the ASME. He has served on
the editorial boards of the *IEEE Transactions on Robotics, the IEEE/ASME
Transactions on Mechatronics, the IEEE Transactions on Automatic Control,
Automatica, and the Journal of Medical Robotics Research*. He is currently
on the editorial board of the *International Journal of Medical Robotics
and Computer Assisted Surgery*. Dr. Patel is the Editor of "Minimally
Invasive Surgical Robotics", Volume 1 (of 4 volumes) of the *Encyclopedia
of Medical Robotics* (World Scientific, 2018).

Mahdi Tavakoli, PhD, PEng, MIEEE
Department of Electrical and Computer Engineering
University of Alberta
13-360 Donadeo Innovation Centre for Engineering
9211, 116 St NW
Edmonton, AB T6G 1H9

Associate Editor
   IEEE/ASME Transactions on Mechatronics
   Journal of Medical Robotics Research
   Control Engineering Practice

Phone: 780-492-8935
Email: mahdi.tavakoli at ualberta.ca
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