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
Mahsa completed her M.Sc. degree in mechatronics engineering from K.N. Toosi University of Technology, Tehran, Iran in 2020. She received her B.Sc. in mechanical engineering from Alzahra University, Tehran, Iran. She is currently working as an R&D engineer at Biomechatronics lab. Her research has been focused on the design and implementation of an augmented reality-based system for the assessment and rehabilitation of cognitive impairments.
Nazanin received her B.Sc. in electrical engineering - electronics from Dr. Shariaty Technical College, Tehran, Iran. Her project was focused on face detection and face recognition with MATLAB and Python-openCV. Nazanin is currently a M.Sc. student in mechatronics engineering, K. N. Toosi University of Technology. Her current research is on the design of a pain control system, that comprises an interface unit, a Patient Controlled Analgesia (PCA) unit, and a pulse oximetry unit as the feedback sensor (co-supervised by Dr. Ali Khaki-Sedigh).
Susan is a M.Sc. student in biomedical engineering, K. N. Toosi University of Technology. She received her B.Sc. in electrical engineering from Tabriz University, Tabriz, Iran. Currently, her research is focused on the investigation of effective and functional connectivity in working memory using noninvasive EEG-fNIRS signals (co-supervised by Dr. Ali Khadem). She is interested in biomedical signal processing, brain-computer interface, brain connectivity analysis, and pattern recognition.
Nastaran is a M.Sc. student in biomedical engineering, K. N. Toosi University of Technology. Her previous research field was to investigate the bioelectromagnetic waves on the body structure. She has received her B.Sc. in biomedical engineering from Amir Kabir University of Technology, Tehran, Iran. Her current research is focused on the development of a method for diagnosing ADHD by using resting-state MEG data that is concerned with the concepts of signal processing and pattern recognition (co-supervised by Dr. Ali Khadem).
Amir Hossein received his B.Sc. in electrical engineering from the University of Science and Culture, Tehran, Iran. His project was focused on the design and implementation of a gyroscope with CodeVisionAVR and ATmega. Amir Hossein is currently a M.Sc. student in mechatronics engineering, K.N. Toosi University of Technology, Tehran, Iran. His current research is focused on the design and implementation of a smart monitoring and infusion system for patients with Parkinson's disease (co-supervised by Dr. Masoud Dehyadegari).
Ali received his B.Sc. in electrical engineering from the University of Science and Culture, Tehran, Iran. His project was focused on the design and implementation of a license plate detection system using neural network and image processing. Ali is currently a M.Sc. student in mechatronics engineering, K. N. Toosi University of Technology, Tehran, Iran. His current research is on the design and implementation of a remote patient monitoring system to help patients with Parkinson's disease (co-supervised by Dr. Masoud Dehyadegari).
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.
Paniz is a B.Sc. student in electrical engineering - control, K.N. Toosi University of Technology, Tehran, Iran. Her current research is on Smart Indoor Navigation Shoes for the Visually Impaired.
Mahsa is a B.Sc. student in electrical engineering - control, K.N. Toosi University of Technology. Her current research is to develop an approach to control devices using EOG signals. signal for physically challenged persons.
