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
(Sprache: Englisch)
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,...
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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.Inhaltsverzeichnis zu „Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices “
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.
Bibliographische Angaben
- 2019, 1st ed. 2020, XVI, 439 Seiten, 252 farbige Abbildungen, Maße: 16,8 x 23,7 cm, Kartoniert (TB), Englisch
- Herausgegeben: Kang-Ping Lin, Ratko Magjarevic, Paulo De Carvalho
- Verlag: Springer, Berlin
- ISBN-10: 3030306356
- ISBN-13: 9783030306359
Sprache:
Englisch
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