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E-raamat: 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

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  • Formaat: EPUB+DRM
  • Sari: IFMBE Proceedings 74
  • Ilmumisaeg: 27-Sep-2019
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030306366
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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, TaiwanSuurem pilt
  • Formaat: EPUB+DRM
  • Sari: IFMBE Proceedings 74
  • Ilmumisaeg: 27-Sep-2019
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030306366
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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.

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.
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Püsilink: https://www.kriso.ee/db/97830303063666e.html