Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices

Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019, 17-20 April 2019, Taipei, Taiwan
1. Auflage 2020
ISBN: 978-3-030-30635-9
Verlag: Springer International Publishing

Buch, Englisch, Band 74, 439 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 686 g

Reihe: IFMBE Proceedings

This book gathers the proceedings of the IV International Conference on Biomedical and Health Informatics (ICBHI 2019), held on 17-20 April, 2019, in Taipei, Taiwan. Contributions span a range of topics, including medical imaging, biosignal processing, biodata management and analytics, public and personalized health systems, mobile health applications and many more. The IV conference edition gave a special emphasis to cybersecurity issues and cutting-edge medical devices, as it is reflected in this book, which provides academics and professionals with extensive knowledge on and a timely snapshot of cutting-edge research and developments in the field of biomedical and health informatics.

Zielgruppe

Research

Autoren/Hrsg.

Lin, Kang-Ping

De Carvalho, Paulo

Magjarevic, Ratko

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Exploring the Possibilities to Characterize the Soft Tissue Using Acoustic Emission Waveforms.- The Prolonged Effect on Respiratory Sinus Arrhythmia Response of Individual with Internet Gaming Disorder via Breathing Exercise.- Automatic Liver and Spleen Segmentation with CT Images Using Multi-Channel U-net Deep Learning Approach.- A New Numerical Simulation Process for Footwear Slip Resistance Analysis.- Point-of-Care Testing System of Uric Acid for the Prevention from Urolithiasis Recurrence.- Using Biplanar X-ray Images to Reconstruct the Spine Structure by the Convolution Neural Network.- A Real Time Fall Detection System Using Tri-Axial Accelerometer and Clinometer Based on Smart Phones.- Cyber-physical Secure VLC applications.- Combining Multi-classifier with CNN in Detection and Classification of Breast Calcification.- Quantification of Systolic Time Intervals Using Continuous Wavelet Transform of Electrocardiogram and Phonocardiogram Signals.- Handling Missing Data in CGM records.