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Mehdi Delrobaei
Assistant Professor

Mehdi Delrobaei, Ph.D.

Assistant Professor
Mechatronics & Biomedical Engineering

Projects

Here Are the Ongoing Projects

Closed-Loop Management of Parkinson's Disease

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 and IoT: Helping Patients with Alzheimer's Disease

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.

Smart Infusion Pump

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.

Wearables for Visually Impaired

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.

Indoor Positioning

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.

Near-Infrared Stimulation

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 Rehabilitation

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.

Wearables to prevent office injuries

The job hazard analysis is an essential tool used to assess operational risks linked to performing jobs. Certain hazards in occupational environments could have serious effects on health, therefore it is important to monitor such risks using unobtrusive sensors. Monitoring human physiological parameters in real time can provide new services for modern health systems in prevention, diagnosis, and treatment. We have initiated studies on the use of wearable sensors for people in the office environment to avoid office injuries.

Closed-Loop Management Of PD

Augmented Reality And IoT

Smart Infusion Pump

Wearables For Visually Impaired

Indoor Positioning

Near-Infrared Stimulation

Cognitive Rehabilitation

Wearables for Office Injuries

Academic CV

Education & Work experience

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Western University

Education

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).

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CREATECH

Recent Publications

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)

Towards Remote Monitoring of Parkinson’s Disease Tremor using Wearable Motion Capture Systems, J. Neurological Sci., Jan. 2018. (PDF)

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K. N. Toosi University

Work experience

Director, International Affairs, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran (Feb. 2020-Present).

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).

Lecturer, Mechatronic Systems Engineering program, Western University (2012-Present).

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Medical Devices Group

Awards and Achievements

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).

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Augmented Reality

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Wearable Technologies

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Mechatronic In Medicine

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Indoor Positioning

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Implantable Medical Devices

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Dementia Home Care

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Biomechatronic Systems Research Group - April 2019





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Atiye Riasi

Atiye received her B.Sc. in electrical engineering - electronics from Ferdowsi University of 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 PhD 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

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Fatemeh Ghorbani

Fatemeh 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 mechatronics 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.

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Emad Samani

Emad is a M.Sc. student in mechatronics engineering, K.N. Toosi University of Technology, Tehran, Iran. He received his B.Sc. in mechanical engineering from Yazd University, Yazd, Iran. His current research is on the design and construction of a smart infusion pump.

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Mahsa Taghavi

Mahsa is a M.Sc. student in mechatronics engineering, K.N. Toosi University of Technology, Tehran, Iran. She received her B.Sc. in mechanical engineering from Alzahra University, Tehran, Iran. Her current research is on the design and implementation of an augmented reality-based system for the assessment and rehabilitation of cognitive impairments.

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Faezeh Ibrahimi

Faezeh received her B.Sc. in mechanical engineering from Razi University, Kermanshah, Iran. During her studies, she was a member of the University Academic Society. Her project was focused on simulating stress and strain on COMSOL Multiphysics for a quadcopter and optimizing the time of flight with a novel method that integrates mass absorber and piezo. Faezeh is currently a M.Sc. student in mechatronics engineering, K.N. Toosi University of Technology, Tehran, Iran. Her research is focused on rehabilitation using Photobiomodulation technology to help patients with Alzheimer's disease (co-supervised by Dr. Farshad Homayouni Moghadam, Royan Institute). Her research is also concerned with the concept of the stem cell culture as well as control and programming to design relevant medical devices.

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Nazanin Bondarian

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, Tehran, Iran. 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).

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Susan Samiei

Susan is a M.Sc. student in biomedical engineering, K. N. Toosi University of Technology, Tehran, Iran. 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.

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Nastaran Hamedi

Nastaran is a M.Sc. student in biomedical engineering, K. N. Toosi University of Technology, Tehran, Iran. 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).

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Amir Hossein Jannati

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).

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Ali Famili

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).

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Mohammad Amin Rezaei

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, Tehran, Iran. His research is to develop wearable systems to monitor and reduce office-related musculoskeletal disorders (co-supervised by Dr. Hossein Rouhani, University of Alberta).

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Yasamin Borhani

Yasamin is a B.Sc. student in electrical engineering - control at K. N. Toosi University of Technology, Tehran, Iran. During her studies, she was working as a robotics instructor for kids at Sprooz Institute. She was also a member of KN2C robotic team which achieved the third place in Iran Open 2018. After that, she spent her internship at Tart Robotics Institute as an electronic board designer and developer. Currently, her research work is focused on the design of peristaltic pumps for patients with Parkinson's disease.

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Parisa Forghani

Parisa is currently a B.Sc. student in electrical engineering - control at K. N. Toosi University of Technology, Tehran, Iran. During her studies, she was a member of the KN2C Robotic Lab under supervision of Dr. Hamidreza Taghirad. She won third place in Indoor UAV in Iran Open, Robocup 2018. Her research is focused on the use of IMU sensors for assessment of patients with Parkinson's disease.

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Hamidreza Yaghoubi

Hamidreza is a B.Sc. student in electrical engineering, K.N. Toosi University of Technology, Tehran, Iran. During his studies, he worked for Bankyar Inc. as a troubleshooter and implementer of ATM & POS terminal electronic circuits. His current research is on design & implementation of a smart infusion pump.

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Paniz Sedighi

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.




contact

K. N. Toosi University of Technology
Faculty of Electrical Engineering
Shariati Ave., Seyed Khandan, Tehran 1631714191, Iran

Office: New Engineering Building, Room: 304
Tel: (+9821) 84062 450 Ext. 304, Email: delrobaei@kntu.ac.ir
Mechatronics Laboratory: Library Building, First Floor, Tel: (+9821) 84062 602