Medical Equipment Engineering

Design, manufacture and applications

Inbunden, Engelska, 2023

Av Wai Yie Leong, Wai Yie Leong, Malaysia) Leong, Wai Yie (Senior Professor, INTI International University

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The evolution of medical equipment engineering is progressing rapidly, with advances in digital healthcare technologies such as artificial intelligence, virtual/augmented reality, 3D-printing, robotics and nanotechnologies developing at pace. Medical equipment engineering can assist in surveying workplace inefficiencies, and develop efficient optimisation processes, through data research and intelligent learning automation. This edited book covers the benefits of the integration of lean manufacturing, smart sensors, 5G technology, IoTs, virtual reality, 3D printing, robotics and automation.Medical Equipment Engineering: Design, manufacture and applications discusses the technological requirements that bring robots closer to humans in smart equipment manufacturing environments where computer-integrated equipment manufacturing, high levels of adaptability and rapid equipment design changes are successfully integrated with digital information technology, while ensuring that these new processes still protect worker safety.A holistic view of medical equipment engineering will affect many areas, most notably: equipment services and engineering business models, equipment reliability and continuous productivity, machine safety, standards and maintenance, IT security and equipment product lifecycles. Topics such as industry value chain, industry demonstration and technicians and workers' education and skills will also be explored.This book is essential reading for all engineers and designers working in medical equipment manufacturing, and related fields such as AI, virtual reality, smart sensors, 3D printing, robotics and automation.

Produktinformation

Utgivningsdatum2023-09-05
Mått156 x 234 x 22 mm
Vikt703 g
FormatInbunden
SpråkEngelska
SerieHealthcare Technologies
Antal sidor378
FörlagInstitution of Engineering and Technology
ISBN9781839537066

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Wai Yie Leong is a senior professor at INTI International University, Malaysia, and is the chairperson of The Institution of Engineering and Technology Industry Revolution 4.0 Technical Network. She is involved with numerous professional engineering societies including a position as the vice president of the International Network of Women Engineers and Scientists (INWES), and chairman of The Institution of Engineering and Technology (Malaysia Local Network) and committee member of World Federation of Engineering Organisation (Women in Engineering Committee). Her specialisms include Industry 4.0, wireless sensor networks, ultra-wideband and wireless communications, and brain signal processing for signal conditioning and classification.

Chapter 1: Medical equipment engineering revolutionChapter 2: Medical device manufacturingChapter 3: Challenges and impact of medical equipment engineeringChapter 4: Physiotherapy on e-health platformsChapter 5: Adoption of Building Information Modelling in Malaysia medical facilities building constructionChapter 6: Medical equipment engineering standards for design and risk management of immersive virtual reality for in-clinic and home usedChapter 7: Medical equipment engineering in industrial revolutionChapter 8: Medical equipment engineering in industrial revolutionChapter 9: Ethics, guidelines, and policy for technology in healthcareChapter 10: Medical equipment engineering and manufacturing standard and policiesChapter 11: Reimagining medical equipment engineering education: does industry 4.0 need education 4.0?Chapter 12: Wireless communication technologies for medical equipment engineeringChapter 13: Human-robot interaction in medical equipment manufacturingChapter 14: Trends in medical equipment engineering for additive manufacturing in the Industry 4.0 eraChapter 15: Application of e-platforms in physiotherapy educationChapter 16: Challenges and considerations in e-health platformsChapter 17: Telerehabilitation in physiotherapyChapter 18: Artificial intelligence in sportsChapter 19: Case study 1: image processing for medical application of preventing the spread of COVID-19Chapter 20: Nanotechnology in biomedical application: pH-responsive starch nanoparticlesChapter 21: E-Health on ankle rehabilitationChapter 22: Medical equipment for back pain