The purpose of this project is to design and implement a closed-loop remote monitoring and management system to help patients with Parkinson's disease. In the proposed structure, feedback indicating features relevant to the severity of the patient's motor symptoms is sent to a cloud-based server that includes decision-making algorithms. Control commands to adjust drug delivery rates would then be sent to an infusion pump connected to the patient's body.
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 smart glass while users never lose the touch with the reality and real-time information is put into eyesight. Integrating AR with Internet-of-Things (IoT) technology seems to have the potential to revolutionize healthcare and we have thought of helping Alzheimer's disease patients through such technologies.
An infusion pump is a device to deliver controlled amounts of medication into a patient’s body. A smart infusion pump includes features such as occlusion detection, dose error reduction, and remote programming. In this project, we have initially planned to design an accurate syringe pump equipped with force sensors. 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 design, prototype, and test low-cost smart wearables including gloves and shoes to improve both the interaction and navigation of the visually impaired in a structured environment. Our devices are mainly equipped with RFID to explore the surrounding objects and provide audio feedback.
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 develop individually-tailored indoor positioning systems that includes an affordable local infrastructure and customized mobile units.
In this project we mainly investigate if near infrared light stimulation (photobiomodulation) can trigger the brain cells to repair and protect themselves against further damage. We have recently initiated a research projects to investigate the effect of transcranial photobiomodulation in Alzheimer’s disease. A working prototype of a reflectance pulse oximeter has also been developed to be integrated into a closed-loop infusion system.
Cognitive deterioration is associated with either age-related or disease-related alterations in human cognitive functionalities, such as problem solving, reasoning, decision-making, and memory. There are multiple strategies to develop cognitive assessment and rehabilitation tools to help improve the altered cognitive processes. We are currently developing a framework to design and implement an augmented reality-based system for the assessment and rehabilitation of cognitive impairments.
The coronavirus disease 2019 (COVID-19) changed the world. During the COVID-19 pandemic, the potential of using wearables for vital signs monitoring has become increasingly visible. We have initiated studies on the use of wearable devices for continuous patients' remote monitoring.
Western University
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).
CREATECH
An RFID-Based Assistive Glove to Help the Visually Impaired, IEEE Trans. Instrumentation & Measurement, Mar. 2021 (PDF)
Evaluating the Possibility of Integrating Augmented Reality and Internet of Things Technologies to Help Patients with Alzheimer’s Disease, ICBME, Nov. 2019. (PDF)
Effects of Deep Brain Stimulation of the Subthalamic Nucleus Settings on Voice Quality, Intensity, and Prosody in Parkinson’s Disease: Preliminary Evidence for Speech Optimization, Canadian J. Neuro. Sci., Mar. 2019. (PDF)
K. N. Toosi University
Assistant Professor, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran (2016-Present).
Lecturer, Faculty of Engineering, Western University, London, ON, Canada (2012-Present).
Adjunct Research Professor, Department of Electrical and Computer Engineering, Western University, London, ON, Canada (2016-2021).
Director, International Affairs, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran (Feb. 2020-2021).
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 - April 2021
Atiye received her B.Sc. in electrical engineering - electronics from Ferdowsi University of Mashhad, Mashhad, Iran. Her project was to design a motor speed controller for a photoresist spinner. She received her M.Sc. degree in bioelectric engineering from K. N. Toosi University of Technology. During her master's studies, she focused on the prediction of ventricular fibrillation using morphological features of ECG signal. Her work includes biomedical engineering in hospital-based health care, electrical installations testing, and safety observer of buildings as a member of Iran Construction Engineering Organization (IRCEO), and referee of science and technology park in electronics and bioelectric fields. Currently, Atiye is a Ph.D. student in bioelectric engineering at K. N. Toosi University of Technology. She is a member of Biomechatronic Systems research group and working on the implementation of a closed-loop remote monitoring and management system to help patients with Parkinson's disease
Behnaz received her B.Sc. in software engineering and her M.Sc. degree in biomedical engineering from Hakim Sabzevari University, Sabzevar, Iran. Currently, Behnaz is a Ph.D. student in bioelectric engineering at K. N. Toosi University of Technology.
Mohammad Amin received his B.Sc. in electrical engineering - electronics from University of Kashan, Isfahan, Iran. His project was to build a push-pull converter for a amplifier IC. He is currently a M.Sc. student in biomedical engineering, K. N. Toosi University of Technology. His research is to develop wearable remote monitoring systems for Covid-19 symptoms (co-supervised by Dr. Hossein Rouhani, University of Alberta).
Reza received his B.Sc. in mechanical engineering from K. N. Toosi University of Technology. He is currently a M.Sc. student in mechatronics engineering, K. N. Toosi University of Technology. His research is focused on developing a biomechatronic system based on visible light.
Akram received her B.Sc. in electrical engineering - electronics from Zanjan University, Zanjan, Iran. She is currently a M.Sc. student in biomedical engineering, K. N. Toosi University of Technology, Tehran, Iran. Her research is to develop wearables for remote monitoring of the vital signs of COVID-19.
Neda received her B.Sc. in electrical engineering from Kermanshah University, Kermanshah, Iran. She is currently a M.Sc. student in mechatronics engineering, K. N. Toosi University of Technology. Her research is to develop wearables to help the visually impaired.
Arash received his B.Sc. in mechanical engineering. He is currently a M.Sc. student in mechatronics engineering, K. N. Toosi University of Technology. His research work is focused on developing smart wearable devices in cardiovascular care.
Sama completed her B.Sc. degree in mechanical engineering at the University of Tabriz, Tabriz, Iran. Her project was to model and analyze a self-balancing system based on Arduino and PID controllers. She is currently a M.Sc. student in mechatronics engineering at K. N. Toosi University of Technology. Her research is focused on investigating the relationship between executive dysfunction and human movement. She is interested in wearable technologies, biomechatronic systems, and gait and movement disorder assessment.
Ali completed his B.Sc. degree in electrical engineering at the University of Tehran, Tehran, Iran. He is currently a M.Sc. student in biomedical engineering at K. N. Toosi University of Technology.
Iman completed his B.Sc. degree in electrical engineering at Isfahan University of Technology, Isfahan, Iran. He is currently a M.Sc. student in biomedical engineering at K. N. Toosi University of Technology.
Ghazal is a B.Sc. student in electrical engineering - control systems at K. N. Toosi University of Technology. Her current research is focused on driver drowsiness detection techniques using EEG signals. signal for physically challenged persons.
Fatemeh is a B.Sc. student in electrical engineering - control systems at K. N. Toosi University of Technology. Her current research is focused on developing a motor-cognitive interference measure to associate impulsivity and executive functions. signal for physically challenged persons.
