Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The fast-modernizing developed and utilized with the help of IoT. Our project work approaches to simplify the patients monitoring by our integrated system of IoT sensors, an emergency diagnostic subsystem a smart health analytic system approaches to secure the patients by automatic monitoring and recording of clinical parameters, and treat them if necessary. The maternal and fetal parameters such as blood pressure, temperature, oxygen level, heart rate are monitored and recorded for those who are hospitalized under high risk condition. The sensors assembled to sense specified parameters record them and the sensed information are recorded and saved in cloud environment. The specialized emergency subsystem developed is used to analyze the data with the threshold levels. The features of the parameters recorded are extracted using CNN. Using deep leaning, the features are classified and studied for further consultations with the specialists. A quick and instant remedies can be sought out in case of emergencies. 56 pp. Englisch. N� de r�f. du vendeur 9786206769057

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IOT Medical Applications

Vinoth Kumar, Prof. P.; Parthiban, Dr. S.; Sivaranjani, Prof. S.

Edit� par Scholars' Press, 2023

ISBN 10 : 6206769054 ISBN 13 : 9786206769057

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IOT Medical Applications

Vinoth Kumar, Prof. P.|Parthiban, Dr. S.|Sivaranjani, Prof. S.

Edit� par Scholars' Press, 2023

ISBN 10 : 6206769054 ISBN 13 : 9786206769057

Neuf Couverture souple

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Vendeur : moluna, Greven, Allemagne

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The fast-modernizing developed and utilized with the help of IoT. Our project work approaches to simplify the patients monitoring by our integrated system of IoT sensors, an emergency diagnostic subsystem a smart health analytic system approaches to secure . N� de r�f. du vendeur 1173347613

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IOT Medical Applications

P. Vinoth Kumar

Edit� par Scholars' Press Sep 2023, 2023

ISBN 10 : 6206769054 ISBN 13 : 9786206769057

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The fast-modernizing developed and utilized with the help of IoT. Our project work approaches to simplify the patients monitoring by our integrated system of IoT sensors, an emergency diagnostic subsystem a smart health analytic system approaches to secure the patients by automatic monitoring and recording of clinical parameters, and treat them if necessary. The maternal and fetal parameters such as blood pressure, temperature, oxygen level, heart rate are monitored and recorded for those who are hospitalized under high risk condition. The sensors assembled to sense specified parameters record them and the sensed information are recorded and saved in cloud environment. The specialized emergency subsystem developed is used to analyze the data with the threshold levels. The features of the parameters recorded are extracted using CNN. Using deep leaning, the features are classified and studied for further consultations with the specialists. A quick and instant remedies can be sought out in case of emergencies.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 56 pp. Englisch. N� de r�f. du vendeur 9786206769057

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IOT Medical Applications : An Integrated Solution for High-Risk Maternal and Fetal Monitoring Based on One Dimensional CNN With IoT

P. Vinoth Kumar

Edit� par Scholars' Press, 2023

ISBN 10 : 6206769054 ISBN 13 : 9786206769057

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The fast-modernizing developed and utilized with the help of IoT. Our project work approaches to simplify the patients monitoring by our integrated system of IoT sensors, an emergency diagnostic subsystem a smart health analytic system approaches to secure the patients by automatic monitoring and recording of clinical parameters, and treat them if necessary. The maternal and fetal parameters such as blood pressure, temperature, oxygen level, heart rate are monitored and recorded for those who are hospitalized under high risk condition. The sensors assembled to sense specified parameters record them and the sensed information are recorded and saved in cloud environment. The specialized emergency subsystem developed is used to analyze the data with the threshold levels. The features of the parameters recorded are extracted using CNN. Using deep leaning, the features are classified and studied for further consultations with the specialists. A quick and instant remedies can be sought out in case of emergencies. N� de r�f. du vendeur 9786206769057

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