Internet of Medical Things Course

Course Instructor

Dr. Ali Ahmadi

Ali Ahmadi received his M.Sc. and Ph.D. in Artificial Intelligence and Soft Computing from Osaka Prefecture University, Japan in 2001 and 2004, respectively. He worked as a senior researcher in Nano-device Research Center at Hiroshima University, Japan during 2004–2007. He has been with K.N. Toosi University of Technology from 2007 in AI department and IT Research Center. He is currently an adjunct faculty in York University, Canada, working in the field of application of AI in healthcare and disaster management. His research interests include: Information fusion, IoMT,  HCI models, virtual and mix reality, semantic image and text mining.

Course Instructor

Dr. Behzad Moshiri

Behzad Moshiri received his M.Sc. and Ph.D. in “Control Systems Engineering” from University of Manchester, Institute of Science and Technology (UMIST), U.K. in 1987 and 1991, respectively. He was member of Instrument Society of America, ISA (Canada Branch) in 1991-1992 and has been member of International Society of Information Fusion ISIF, since 2002. He has also been a Senior member of IEEE since 2006. He has been with School of ECE, University of Tehran since 1992 where he is currently professor of “Control Systems Engineering”. He has been adjunct professor of Department of ECE, University of Waterloo, Canada since 2014. His research interests include Data / Information Fusion, Smart Sensing Systems, Mechatronics, Advanced Industrial Control Design based on “IoT, Industry 4.0 & 5.0” and Intelligent Transportation Systems (ITS).

Course Instructor

Dr. Hooman Razavi

Hooman Razavi is a Ph.D. fellow at ITESM and a visiting researcher at uOttawa in engineering science. With an extensive experience of network design and information security in academia and industry, he has been serving as CTO and Co-Founder of IEP since 2020, a Canadian firm in education technology. His expertise also spans AI based networks, IoT and IoT-driven systems, as well as IoMT technology and devices.

Course Description

Internet of Medical Things (IoMT) is a connected environment made up of software applications, medical devices, and a set of health systems. It is made up of large volumes of sensor-based tools, which include standalone devices and wearables that can be used for remote monitoring of patients. Such an ecosystem of IoMT connected devices and sensors help streamlining clinical workflow and improving patient care. The advancement in IoMT has enabled both patients and healthcare providers to access real time data at any time. The goal of Internet of Medical Things (IoMT) and digital healthcare systems is to provide people with the ease of receiving quality healthcare at the comfort of their homes or desired locations. With increasing technological advancement and production, health care providers need to better understand the IoMT ecosystem, components, deployment, and management. The main goal of this course is to provide participants with the basic and critical knowledge of IoMT.

Course Learning Objectives

After taking this course participants will:

• Gain a clear understanding of IoMT
• Learn about IoMT Ecosystem & Components
• Understand IoMT connectivity & its relationship with cloud computing
• Learn about IoMT systems design and development
• Understand key IoMT security, privacy, and ethical issues
• Learn about some of the key applications of IoMT in healthcare
• Learn about IoMT Challenges

Course Approach

The course content will be reinforced by lab activities where participants will practice the skills learned throughout the course. The course will teach participants about various aspects of the internet of medical things, ecosystems, system development, cloud computing, and healthcare applications. Emphasis is put on IoMT ecosystems, components, and applications in healthcare.

Introduction to the Internet of Medical Things

Material:

• Concept and definitions
• IoMT components in perspective
• Market statistics & roadmap

Internet of Medical Things Ecosystem & Components

Material:

• Perception layer
• Networks and gateway layer
• Cloud platform & data layer
• Application layer

Design and Development of IoMT Systems

Material:

• Reference architectures
• Centralized vs distributed architectures
• Standardization initiatives
• Interoperability issues
• Design considerations
• Device issues
• Networks, communication technologies, and protocols
• Steps to optimize IoMT projects
• IoMT Security

IoMT Network & Cloud Computing

Material:

• Communication platforms
• Introduction to cloud architecture
• Cloud components and services
• Example platforms: AWS, Microsoft Azure
• Data warehousing
• Data processing
• Database management
• Device management
• Notification/alarm management
• Security management
• Resource monitoring and management

Applications of IoMT in Healthcare

Material:

• Testing and tracing for disease spread
• Sensors
• Healthcare devices
• Smart hospitals
• Smart operating rooms
• Smart medication
• Digital biomarkers
• I-robotics
• Tele-thermographic systems
• 3D scanning and printing
• Virtual planning, simulation & navigation guided surgery
• Mobile and smartphone applications
• E-learning
• Tele-dentistry
• Voice assistants
• Ambient assisted living
• Adverse drug reaction detection
• Capsule endoscopy
• Patient monitoring

IoMT Challenges

Material:

• Privacy and security of data
• Scalability, upgradation, regulation, standardization
• Interoperability
• Cost efficacy
• Power consumption
• Environmental impact

IoMT Connectivity on Cloud

• Sample experiment in Azure platform

Introduction of Sample Applications and Software