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.
Cognitive flexibility refers to the ability to shift between different mental tasks, and strategies or alternatively respond to the changes and unexpected events in our environment. Previous studies have shown that there are relationships between executive functions and movement patterns, such as asymmetry and balance during walking and reaction speed. In this project, we try to find the relationship between movement parameters and cognitive flexibility among healthy participants.
Blockchain technology is highly resistant to cyber attacks due to its decentralized structure. This project is mainly focused on blockchain-based remote monitoring that allows for the secure collection and sharing of medical data from remote locations. This can be useful in situations where patients are unable to visit healthcare facilities in person. Once developed, the system ensures that patient data is kept private, while still allowing healthcare professionals to access the information they need to make informed decisions.
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, which reduces 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.
Attentional Impulsivity
F. Zare, P. Sedighi and M. Delrobaei, "Evaluating Attentional Impulsivity: A Biomechatronic Approach," IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-8, 2023. (PDF)
F. Ghorbani, A. Ahmadi, M. Kia, Q. Rahman, and M. Delrobaei, “A Decision-Aware Ambient Assisted Living System with IoT Embedded Device for In-Home Monitoring of Older Adults,” Sensors, vol. 23, no. 5, p. 2673, Feb. 2023. (PDF)
S. Samiei, M. Delrobaei, A. Khadem, "Evaluating the Effect of Increasing Working Memory Load on EEG-Based Functional Brain Networks," Frontiers Biomed. Technol., vol. 9, iss. 3, pp. 160-169, 2022. (PDF)
N. Hamedi, A. Khadem, M. Delrobaei, A. Babajani-Feremi, "Detecting ADHD Based on Brain Functional Connectivity Using Resting-State MEG Signals," Frontiers Biomed. Technol., vol. 9, iss. 2, pp. 110-118, 2022. (PDF)
F. Ghorbani, M. F. Taghavi, M. Delrobaei, "Towards an intelligent assistive system based on augmented reality and serious games," Entertainment Computing, vol. 40, Jan. 2022. (PDF)
Wearable Navigation System
F. Zare, P. Sedighi and M. Delrobaei, "A Wearable RFID-Based Navigation System for the Visually Impaired," 2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Tehran, Iran, Islamic Republic of, 2022, pp. 572-577. (PDF)
Q. Rezaee, M. Delrobaei, A. Giveki, N. Dayarian and S. J. Haghighi, "Driver Drowsiness Detection with Commercial EEG Headsets," 2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Tehran, Iran, Islamic Republic of, 2022, pp. 546-550, (PDF)
Biomechatronic Systems Research Group - March 2023
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.
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.
Yas is currently a B.Sc. student in electrical engineering - control at K. N. Toosi University of Technology, Tehran, Iran. Her work is focused on the design and development of smart and secure wearable infusion pumps.
Mobina received her B.Sc. in electrical engineering - communications from the University of Zanjan, Zanjan, Iran. Her project focused on designing and implementing a weather station and sending data to the operator with RF signals. She is currently a M.Sc. student in mechatronics engineering at K. N. Toosi University of Technology, Tehran, Iran. Her research is mainly devoted to optimal asset management and tracking in hospital environments. She is interested in the Internet of Things, mechatronics and biomechatronic systems, and non-invasive brain stimulation.
Ali received his B.Sc. in electrical engineering. He is currently a M.Sc. student in mechatronics engineering at K. N. Toosi University of Technology, Tehran, Iran. He is particularly interested in human-robot interactions, especially in retail environments.
Sobhan received his B.Sc. in mechanical engineering from K. N. Toosi University of Technology, Tehran, Iran, and he is currently an M.Sc. student in mechatronics engineering at K. N. Toosi University of Technology. Sobhan is all about artificial intelligence!
