Introduction to Medical and Healthcare Engineering

Introduction to Medical and Healthcare Engineering

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Open Graduate School Program

All Schools

1Year

HETMA5MCA1

2.00Credits

講義 (Lecture)

Spring semester 2026

(Fall semester)

Syoji Kobashi,八木　直美,Eri Miura,Koji Sumitomo,Masaru Higa,Osamu Kawanami,Nozomu Araki,Naohisa Takagaki,Eiko Furutani,Fujita Takayuki,Naotake Kamiura,Manabu Nii,Masakazu Morimoto

Graduate School of Engineering
Advanced Medical Engineering Research Institute

Japanese

Japanese will be used as the primary language, with English included as needed.

3／4／9

Thursdays, 12:10–13:00
Office hours will be held using an online meeting system.
Please make a reservation in advance via the UNIPA Q&A function.

For inquiries related to this course, please use the UNIPA Q&A function.
In principle, individual inquiries by e-mail will not be accepted.

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[Course Objective]
Medical and Health Engineering is an interdisciplinary field based on medicine and engineering, supporting healthcare and health through a wide range of technologies such as biosignal measurement, medical imaging, artificial intelligence, medical devices, healthcare systems, and data health.
The objective of this course is to provide students with a systematic understanding of the roles played by engineering technologies in medical and health-related fields.
Through omnibus-style lectures, students will learn fundamental concepts and representative applications from each area, gain a comprehensive overview of Medical and Health Engineering, and develop the foundational knowledge necessary for further study in specialized fields.

[Learning Outcomes]
Upon successful completion of this course, students will be able to:

1. Explain the fields covered by Medical and Health Engineering and its interdisciplinary characteristics.
2. Explain the roles of representative engineering technologies in medical applications, such as biosignal measurement, medical imaging, and artificial intelligence.
3. Understand and explain the importance of safety, ethics, and regulations in medical devices and healthcare systems.
4. Analyze issues in medical and health-related fields from an engineering perspective based on data and technology.
5. Relate knowledge of Medical and Health Engineering to their future areas of specialization and career paths.

Subtitle:
Foundations and Overview of Engineering Technologies Supporting Healthcare

Keywords:

1. Medical and Health Engineering
2. Biosignal Measurement
3. Medical Imaging
4. Artificial Intelligence
5. Medical Devices
6. Healthcare Systems
7. Data Health
8. IoT

[Course Description]
In modern healthcare settings, engineering technologies have become indispensable at every stage of measurement, diagnosis, and treatment, and their importance continues to grow.
In this course, students will learn the fundamental principles and applications of engineering technologies in medicine. In particular, the course aims to deepen understanding of the roles and developments of technologies in various fields, including IoT, artificial intelligence, healthcare systems engineering, nursing engineering, medical control engineering, bioengineering, and fluid medical engineering.
In addition, the course provides an overview of the new possibilities and societal impacts brought about by the integration of medicine and engineering.

This course is offered in an omnibus format, with lectures delivered by instructors from different specialized fields.The order of lectures may be subject to change.

[Course Schedule]

1. Guidance and Introduction to Medical and Health Engineering
   The objectives, learning outcomes, and overall framework of Medical and Health Engineering are explained.
2. Medical and Health Engineering Using IoT
   Students learn the fundamentals and applications of healthcare and health management using sensors and IoT technologies.
3. Data Health
   Students learn about the utilization of medical data and the concept of data-driven healthcare.
4. Medical Engineering Using Artificial Intelligence
   The course covers applications of AI in medicine, focusing on machine learning and deep learning techniques.
5. Medical Measurement and Control Engineering
   Students learn the basic concepts of biosignal measurement and control.
6. Medical Control Engineering
   Control technologies used in medical devices and therapeutic equipment are introduced.
7. Medical Image Analysis
   The fundamentals of medical image acquisition and analysis, as well as applications to diagnosis and treatment support, are covered.
8. Medical Mechanical Engineering
   Students learn about mechanical engineering technologies used in medical devices such as surgical support systems.
9. Thermal and Fluid Medical Engineering
   Engineering approaches to analyzing biological systems and medical devices from thermal and fluid perspectives are introduced.
10. Fluid Medical Engineering
    Engineering analysis of fluid phenomena in the human body, such as blood flow and respiration, is discussed.
11. Biometallic Composite Materials
    The properties and applications of metallic and composite materials used in medical devices are studied.
12. Nano-Bioengineering
    The fundamentals of medical and biological applications using nanotechnology are introduced.
13. Nursing Engineering
    Students learn about engineering technologies that support nursing practice and reduce the burden on healthcare professionals.
14. Healthcare Systems Engineering
    Hospital information systems and healthcare delivery systems are examined from an engineering perspective.
15. Regulations and Ethics in Healthcare
    Legal regulations and ethical issues related to medical devices, medical AI, and medical data are reviewed.

Remote (Fully Online)

This course will be conducted fully online.
Each class session will be delivered via live streaming using an online meeting system.
All lecture materials will be distributed in advance through UNIPA.
Students are required to prepare a stable internet connection and an appropriate computer or device for participation.

Limited permission for use

In this course, the use of generative AI is permitted only in limited situations.
Generative AI may be used for purposes such as supporting literature searches, organizing or summarizing lecture content, and developing ideas.
However, submitting AI-generated content directly as assignments, reports, or presentation materials is prohibited.
When generative AI is used, students must verify the accuracy and appropriateness of the output, and all final judgments and expressions remain the responsibility of the student.
If errors caused by hallucinations of generative AI are identified, significant penalties will be applied.
Students must comply with the university guidelines on the use of generative AI for educational purposes.

No specific textbook is required for this course.
All lecture materials will be distributed in advance through UNIPA.

Dohi, K. (Supervisor).
Fundamentals of Medical Engineering.
Tokyo Denki University Press, 2019.
ISBN: 978-4-501-33320-1

This book is available free of charge as an electronic book through the university subscription to the MARUZEN eBook Library.https://elib.maruzen.co.jp/elib/html/BookDetail/Id/3000076508

[Pre-Lecture Study]
Before each class, students are expected to read the relevant sections of the distributed lecture slides and textbook materials in advance and organize the fundamental knowledge related to the lecture content. This preparation enables students to participate in the class actively and smoothly. The estimated study time is approximately 2 hours per class, totaling about 30 hours over 15 classes.

[Post-Lecture Study]
After each class, students are expected to review the lecture content to deepen their understanding and to prepare a report on topics related to the lectures. The estimated study time is approximately 2 hours per class, totaling about 30 hours over 15 classes.

In this course, discussions and question-and-answer sessions are incorporated as appropriate in each class to promote students’ active and independent learning based on the lecture content. Taking advantage of the omnibus format, students examine the relationship between medicine and engineering and their social significance in each lecture, and engage in the exchange of ideas. In addition, through report assignments based on the lecture content, students develop the ability to identify problems independently, analyze them from an engineering perspective, and present their ideas in a logical manner.

[Grading Criteria]
In this course, students will be evaluated based on their level of achievement in the abilities described in the course objectives and learning outcomes, including understanding and explanation of engineering technologies required in the field of Medical and Health Engineering and related areas. These abilities include knowledge and skills, critical thinking, judgment, and expressive ability. Grades will be assigned according to the following criteria:

• S (90 points or higher)
• A (80 points or higher)
• B (70 points or higher)
• C (60 points or higher)
• 
  

【Grading Method】

• No final examination will be administered. 
• Report assignments based on the lecture content will be evaluated on a 100-point scale and will account for 80% of the final grade. Evaluation will emphasize the level of understanding, depth of analysis, appropriateness of logical structure, and clarity of written expression. 
• In addition, the content and quality of questions based on the lecture material will be evaluated on a 100-point scale and will account for 20% of the final grade. Questions will be assessed based on whether they reflect an appropriate understanding of the lecture content and demonstrate constructive or advanced consideration.

For each submitted report, the evaluation results and feedback will be provided individually through the UNIPA feedback function.

As this course is conducted in an omnibus format, the instructor in charge may vary by class session. Students are advised to check the instructor and lecture content for each session in advance.
To deepen understanding of the lecture content, preparation and review are essential. Students should carry out appropriate preparation and review according to the content of each lecture and make efforts to consolidate the knowledge acquired in class.
If a student is unavoidably absent from a class due to illness or other legitimate reasons, they are required to submit documentation such as a medical certificate (copies accepted) or a hospital receipt that clearly indicates the student’s name and the date. Submitted documents will be returned after confirmation.
This course will be conducted online. Details such as the lecture URL will be provided separately through UNIPA.

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