[robotics-worldwide] [meetings] CFP on Bio-Signal Processing for Movement Assessment, Neuro-Rehabilitation and Assistive Technologies

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[robotics-worldwide] [meetings] CFP on Bio-Signal Processing for Movement Assessment, Neuro-Rehabilitation and Assistive Technologies

Mahdi Tavakoli

2017 IEEE International Conference on Systems, Man, and Cybernetics,
October 5–8, 2017, Banff Center, Banff, Canada


Title of the Special Session:


URL of the Special Session CFP in PDF format:

(Use the submission code v653f for this special issue.)


The population of senior adults worldwide over the age of 60 is expected to
more than double by 2050. This trend (i.e. society aging) will increase the
incidence rate of age-related movement disorders which typically cause
disabilities. This category of patients often requires labor-intensive
Assessment, Rehabilitation and Assistive (ARA) services as early as
possible and for extended periods. This places a significant burden on the
healthcare system. One solution is to develop smart mechatronic systems
that (a) can intelligently analyze and assess the condition, (b) track
movements of patients, (c) provide safe, optimal, effective and affordable
means of neurorehabilitation and therapy; and (d) assist patients in
performing Activities of Daily Living (ADLs). Bio-Signal Processing (B-SP)
is the heart of the above-mentioned mechatronic solution to enhance delivery
of ARA services. For example, B-SP is needed to conduct real-time and
accurate analysis of the patient’s movement and to guarantee compatible,
compliant, appropriate, and safe interaction between the human-in-need
(e.g., the patient), the mechatronic system (e.g., a robotic system), and
the surrounding environment. The objective of this special session is to
collect novel techniques that augment the capabilities of mechatronic
technologies with intelligent signal processing algorithms to conduct
accurate assessment of a patient’s performance, analyze the effectiveness
of a delivered therapy, intelligent diagnosis of a condition,
neurorehabilitation and/or assistance in performing ADLs.

Topics of interest to the special issue include but are not limited to:

• Bio-Signal Processing for Mechatronic Rehabilitation Systems

• Machine Learning for Motion Assessment, NeuroRehabilitation and Therapy

• Smart Assistive Technologies

• Brain-Computer Interface for NeuroRehabilitation and Assistive

• Intelligent Movement Assessment, Analysis and Monitoring

• Multimodal Human-robot & Human-telerobot interaction for Health

• Cybernetics in Rehabilitation and Diagnostic Sciences

Important Dates:

• (Extended) April 17, 2017:      Deadline for submission of contributions
to the Special Sessions

• May 25, 2017:      Acceptance notification for Special Session papers

• July 9, 2017:      Final camera-ready papers due for Special Sessions

• August 5, 2017: Deadline for early registration

• October 5-8, 2017: Conference dates

Special Session Organizers:

Dr. Arash Mohammadi

Concordia Institute for Information System Engineering (CIISE)

Concordia University, Montreal, QC, Canada

E-mail: [hidden email]

Dr. S. Farokh Atashzar

Canadian Surgical Technologies & Advanced Robotics (CSTAR)

Western University, London, ON, Canada

E-mail: [hidden email]

Dr. Mahya Shahbazi

Canadian Surgical Technologies & Advanced Robotics (CSTAR)

Western University, London, ON, Canada

E-mail: [hidden email]

Dr. Mahdi Tavakoli

Department of Electrical & Computer Engineering

University of Alberta, Edmonton, AB, Canada,

E-mail: [hidden email]

Dr. Konstantinos N. Plataniotis

Department of Electrical & Computer Engineering

University of Toronto, Toronto, ON, Canada,

E-mail: [hidden email]

Dr. Rajni V. Patel

Department of Electrical & Computer Engineering

Western University, London, ON, Canada

E-mail: [hidden email]

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

Phone: 780-492-8935
Email: [hidden email]
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