An infusion pump is a medical device to deliver controlled amounts of medication into a patient’s body. A smart pump includes features such as occlusion and air-bubble detection, dose error reduction, and remote programming. In this project, we have initially planned to design an accurate syringe pump and later proceed to the advanced features. This project is managed through the Medical Devices Research Cluster, located at the Createch.
Visually impaired people mainly rely on their sense of touch and hearing that reduce their interaction with the environment. In this project, we have planned to design, prototype, and test a low-cost smart glove to improve the interaction of the visually impaired with the objects in a pre-defined environment. The glove is equipped with RFID technology to explore the surrounding objects and provide audio feedback on their position.
Many mass market applications require the ability to accurately localize and navigate people, objects, and devices in an indoor environment. It seems that currently there is no overall solution for this problem and we are far away from achieving a promising global indoor positioning system. In this project, we are trying to develop an individually-tailored indoor positioning system that includes an affordable local infrastructure and customized mobile units.
Augmented reality (AR) is a technology to generate a real-world environment, augmented by computer generated information such as text or graphics data. AR can be a built-in feature in a glass while users never lose the touch with the reality and real-time information is put into eyesight. Google Glass seems to have the potential to revolutionize healthcare and we have thought of helping Alzheimer's disease patients through this technology.
We are initiating a new line of research dedicated to embedded sensor networks and distributed mechatronic systems. Such systems are generally capable of on-site processing and reporting of vital data collected from resource-limited sensor nodes. Many interesting questions in this field have still remained unanswered!
Postdoctoral Clinical Research Fellow, Department of Clinical Neurological Sciences, Western University Hospital, London, ON, Canada (2012 – 2016).
Postdoctoral Industrial Research Fellow, Department of Electrical and Computer Engineering, Western University, London, ON, Canada (2011 – 2012).
Ph.D., Control Systems & Mobile Robotics, Department of Electrical and Computer Engineering, Western University, London, ON, Canada (2006 – 2010).
Towards Remote Monitoring of Parkinson’s Disease Tremor using Wearable Motion Capture Systems, J. Neurological Sciences, Jan. 2018. (PDF)
Using Wearable Technology to Generate Objective Parkinson's Disease Dyskinesia Severity Score: Possibilities for Home Monitoring, IEEE Trans. Neural Systems and Rehab. Eng., Oct. 2017. (PDF)
Segmentation and Detection of Physical Activities during a Sitting Task in Parkinson’s Disease Participants using Multiple Inertial Sensors, J. Applied Biomed., Oct. 2017. (PDF)
K. N. Toosi University
Assistant Professor, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran (2016-Present).
Adjunct Research Professor, Department of Electrical and Computer Engineering, Western University, London, ON, Canada (2016-Present).
Senior Research Associate, Lawson Health Research Institute, London, ON, Canada (2013-2016).
Lecturer, Mechatronic Systems Engineering program, Western University (2012-2016).
Medical Devices Group
Applied Research Fund, Iran National Science Foundation (Sept. 2017).
Best Research Cluster (Medical Devices) - CREATECH Center for Research and Technology (July 2017).
Innovation Fund, Academic Medical Organization of Southwestern Ontario (AMOSO) - For the project: Developing a Computational Platform for Optimization of Deep Brain Stimulation Parameters (Dec. 2013).
MITACS Elevate Industrial Fellowship (May 2011).
Biomechatronic Systems Research Group - March 2018
Hesam is a M.Sc. student in mechatronic systems engineering, K.N. Toosi University of Technology, Tehran, Iran. He received his B.Sc. in mechanical engineering from Razi University, Kermanshah, Iran. His project was focused on the design and simulation of nozzle Vulcain2 rocket in COMSOL, mainly to build a test platform for space rockets. He is interested in wearable technologies and his current research is on the design and construction of an RFID-based smart glove to help visually impaired people. This smart glove would potentially help visually impaired to recognize pre-defined objects in the environment via audio feedback.
Mojtaba is studying Control Systems Engineering at K. N. Toosi University of Technology, Tehran, Iran. He started exploring robotics after joining the KN2C Lab, part of the ARAS Lab in 2014. His work continued to design and implementation of small size intelligent demining robots. Mojtaba’s responsibility in the group was sensor fusion and PID controller algorithms development. Their group won the first place in RoboCup IranOpen 2015, third place of SharifCup 2015, and the first place of RoboCup IranOpen 2016 competition. Then he joined Micro Aerial Vehicle (MAV) group where his goal was to develop estimation techniques to increase the autonomy, reliability, efficiency and versatility of quadrotor system. Mojtaba has been one of the leaders of the MAV KN2C Team since 2015 and their group won the first place of IMAV 2016 indoor competition. He was also a member of the Technical Committee of RoboCup IranOpen 2017 competition as well as IDP2017 competition. He is currently working on smart glasses and augmented reality concepts with the aim to help Alzheimer’s disease patients.
Ali was graduated from B.Sc. in Industrial Automation at the Faculty of Technical Engineering, Tartous University, Tartous, Syria in 2015. His project was to design and build a cartesian coordinate robot - controllable through a programmable logic controller (PLC). He is currently a M.Sc. student (Mechatronics) at the faculty of Electrical Engineering, K.N.Toosi University of thechnology, Tehran, Iran and his research is focused on indoor position systems.
Fatemeh Ghorbani received her B.Sc. in power systems engineering from the University of Guilan, Rasht, Iran. During her studies, she was a member of Iranian Association of Electrical and Electronics Engineers (IAEEE) and secured an internship at Guilan Power Distribution Company. Her project was focused on solving the economic dispatch problem, considering the generator constrains. Fatemeh is currently a M.Sc. student in mechatronic systems engineering, K.N. Toosi University of Technology, Tehran, Iran. Her research is focused on the use of smart glasses, capable of generating augmented reality information to help Alzheimer's disease patient. Her research is also concerned with the concepts of the Internet of Things (IoT) as well as the distributed mechatronic systems.