Smart medical data sensing and IoT systems design in healthcare:
Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the in...
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Hershey, PA
IGI Global
[2020]
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Schlagwörter: | |
Links: | https://doi.org/10.4018/978-1-7998-0261-7 https://doi.org/10.4018/978-1-7998-0261-7 https://doi.org/10.4018/978-1-7998-0261-7 https://doi.org/10.4018/978-1-7998-0261-7 https://doi.org/10.4018/978-1-7998-0261-7 https://doi.org/10.4018/978-1-7998-0261-7 https://doi.org/10.4018/978-1-7998-0261-7 https://doi.org/10.4018/978-1-7998-0261-7 |
Zusammenfassung: | Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT System |
Beschreibung: | Description based upon print version of record |
Umfang: | 1 Online-Ressource |
ISBN: | 9781799802624 |
DOI: | 10.4018/978-1-7998-0261-7 |
Internformat
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505 | 8 | |a Chapter 1. Mhealth: a low-cost approach for effective disease diagnosis, prediction, monitoring and management effective disease diagnosis -- Chapter 2. Electronic health record security in cloud: medical data protection using homomorphic encryption schemes -- Chapter 3. Blended models for nearest neighbour algorithms for high dimensional smart medical data -- Chapter 4. Developing security solutions for telemedicine applications: medical image encryption and watermarking -- Chapter 5. Smart healthcare monitoring system for war-end soldiers using CNN -- Chapter 6. Wireless body sensor networks for patient health monitoring: security, challenges, applications security, challenges, applications IoT healthcare management -- Chapter 7. Methodical IoT-based information system in healthcare -- Chapter 8. Feasible challenges and applications of IoT in healthcare: essential architecture and challenges in various fields of internet of healthcare things -- Chapter 9. Sensing and monitoring of epileptical seizure under IoT platform -- Chapter 10. Smart ECG monitoring through IoT. | |
520 | |a Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT System | ||
650 | 4 | |a Internet | |
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650 | 4 | |a Medical informatics | |
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Datensatz im Suchindex
DE-BY-TUM_katkey | 2442610 |
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any_adam_object | |
author2 | Chakraborty, Chinmay |
author2_role | edt |
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author_facet | Chakraborty, Chinmay |
building | Verbundindex |
bvnumber | BV046232429 |
classification_rvk | ST 640 |
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contents | Chapter 1. Mhealth: a low-cost approach for effective disease diagnosis, prediction, monitoring and management effective disease diagnosis -- Chapter 2. Electronic health record security in cloud: medical data protection using homomorphic encryption schemes -- Chapter 3. Blended models for nearest neighbour algorithms for high dimensional smart medical data -- Chapter 4. Developing security solutions for telemedicine applications: medical image encryption and watermarking -- Chapter 5. Smart healthcare monitoring system for war-end soldiers using CNN -- Chapter 6. Wireless body sensor networks for patient health monitoring: security, challenges, applications security, challenges, applications IoT healthcare management -- Chapter 7. Methodical IoT-based information system in healthcare -- Chapter 8. Feasible challenges and applications of IoT in healthcare: essential architecture and challenges in various fields of internet of healthcare things -- Chapter 9. Sensing and monitoring of epileptical seizure under IoT platform -- Chapter 10. Smart ECG monitoring through IoT. |
ctrlnum | (OCoLC)1126552763 (DE-599)BVBBV046232429 |
discipline | Informatik |
doi_str_mv | 10.4018/978-1-7998-0261-7 |
format | Electronic eBook |
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id | DE-604.BV046232429 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T18:46:48Z |
institution | BVB |
isbn | 9781799802624 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031610917 |
oclc_num | 1126552763 |
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publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | IGI Global |
record_format | marc |
spellingShingle | Smart medical data sensing and IoT systems design in healthcare Chapter 1. Mhealth: a low-cost approach for effective disease diagnosis, prediction, monitoring and management effective disease diagnosis -- Chapter 2. Electronic health record security in cloud: medical data protection using homomorphic encryption schemes -- Chapter 3. Blended models for nearest neighbour algorithms for high dimensional smart medical data -- Chapter 4. Developing security solutions for telemedicine applications: medical image encryption and watermarking -- Chapter 5. Smart healthcare monitoring system for war-end soldiers using CNN -- Chapter 6. Wireless body sensor networks for patient health monitoring: security, challenges, applications security, challenges, applications IoT healthcare management -- Chapter 7. Methodical IoT-based information system in healthcare -- Chapter 8. Feasible challenges and applications of IoT in healthcare: essential architecture and challenges in various fields of internet of healthcare things -- Chapter 9. Sensing and monitoring of epileptical seizure under IoT platform -- Chapter 10. Smart ECG monitoring through IoT. Internet Medical care Medical informatics Datenanalyse (DE-588)4123037-1 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
subject_GND | (DE-588)4123037-1 (DE-588)4020775-4 |
title | Smart medical data sensing and IoT systems design in healthcare |
title_auth | Smart medical data sensing and IoT systems design in healthcare |
title_exact_search | Smart medical data sensing and IoT systems design in healthcare |
title_full | Smart medical data sensing and IoT systems design in healthcare Chinmay Chakraborty |
title_fullStr | Smart medical data sensing and IoT systems design in healthcare Chinmay Chakraborty |
title_full_unstemmed | Smart medical data sensing and IoT systems design in healthcare Chinmay Chakraborty |
title_short | Smart medical data sensing and IoT systems design in healthcare |
title_sort | smart medical data sensing and iot systems design in healthcare |
topic | Internet Medical care Medical informatics Datenanalyse (DE-588)4123037-1 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
topic_facet | Internet Medical care Medical informatics Datenanalyse Gesundheitswesen |
url | https://doi.org/10.4018/978-1-7998-0261-7 |
work_keys_str_mv | AT chakrabortychinmay smartmedicaldatasensingandiotsystemsdesigninhealthcare |