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Biomedical Engineering Tools for Management for Patients with COVID-19
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Main description:

Biomedical Engineering Tools for Management of Patients with COVID-19 presents biomedical engineering tools under research (and in development) that can be used for the management of COVID-19 patients, along with BME tools in the global environment that curtail and prevent the spread of the virus. BME tools covered in the book include new disinfectants and sterilization equipment, testing devices for rapid and accurate COVID-19 diagnosis, Internet of Things applications in COVID-19 hospitals, analytics, Data Science and statistical modeling applied to COVID-19 tracking, Smart City instruments and applications, and more. Later sections discuss smart tools in telemedicine and e-health.

Biomedical engineering tools can provide engineers, computer scientists, clinicians and other policymakers with solutions for managing patient treatment, applying data analysis techniques, and applying tools to help the general population curtail spread of the virus.


Contents:

1. The evolution of Biomedical Engineering Tools from fundamental theories to present 2. Successful implementation of Specific Biomedical Engineering Tools in COVID-19 Patient's management 3. IoT applications in Covid-19 Hospitals 4. Analytics, Data Science and Statistics applied in COVID-19 5. Diversified urban life applications in this pandemic 6. Smart city instruments and payment mechanisms 7. Tools, platforms and techniques used for the management of the patients with COVID-19 8. Smart Personal Protective Equipment (PPE) to be used in the context of COVID-19 disease, according to the setting, personnel and type of activity (medical mask, Gown, Gloves, Eye protection, face shield, Boots or closed work shoes, etc.) 9. New types of ventilation devices, intensive care devices 10. New disinfectants, sterilization equipment 11. Equipment for rapid and accurate COVID-19 diagnosis 12. Smart tools for telemedicine and e-health 13. Challenges and Issues in the current scenarios - model, prediction


PRODUCT DETAILS

ISBN-13: 9780128244739
Publisher: Elsevier (Academic Press Inc)
Publication date: June, 2021
Pages: 332
Weight: 450g
Availability: Available
Subcategories: Biomedical Engineering

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