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Internet of Things for healthcare te...

Chakraborty, Chinmay.

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Internet of Things for healthcare technologies

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Internet of Things for healthcare technologies/ edited by Chinmay Chakraborty ... [et al.].
其他作者:	Chakraborty, Chinmay.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xv, 324 p. :ill., digital ;24 cm.
內容註:	Introduction to Technological advances in Healthcare -- Role of Big data analysis and Bio-electronics for upgrading healthcare technologies -- Automated Epileptic Seizure Detection in Clinical EEG using Frequency-Time Domain Features and Hidden Markov Model -- ECG Data Compression for IoT in Healthcare -- Prospects of Bioelectronics (IC enabled, flexible electronics, sensors, systems etc) for Biomedical Engineering and Healthcare in the information age -- Security and Privacy concerns in Healthcare -- Internet of Medical Things -- THz Sources and Detectors for Biomedical Application -- Big data analytics for Internet of Medical Things -- Biomedical Image Analysis: A Predictive Approach -- Missing data handling in medical questionnaires using hybrid methods.
Contained By:	Springer eBooks
標題:	Internet of things. -
電子資源:	https://doi.org/10.1007/978-981-15-4112-4
ISBN:	9789811541124

Internet of Things for healthcare technologies
Internet of Things for healthcare technologies[electronic resource] /edited by Chinmay Chakraborty ... [et al.]. - Singapore :Springer Singapore :2021. - xv, 324 p. :ill., digital ;24 cm. - Studies in big data,v.732197-6503 ;. - Studies in big data ;v.73..

Introduction to Technological advances in Healthcare -- Role of Big data analysis and Bio-electronics for upgrading healthcare technologies -- Automated Epileptic Seizure Detection in Clinical EEG using Frequency-Time Domain Features and Hidden Markov Model -- ECG Data Compression for IoT in Healthcare -- Prospects of Bioelectronics (IC enabled, flexible electronics, sensors, systems etc) for Biomedical Engineering and Healthcare in the information age -- Security and Privacy concerns in Healthcare -- Internet of Medical Things -- THz Sources and Detectors for Biomedical Application -- Big data analytics for Internet of Medical Things -- Biomedical Image Analysis: A Predictive Approach -- Missing data handling in medical questionnaires using hybrid methods.

This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals' steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

ISBN: 9789811541124

Standard No.: 10.1007/978-981-15-4112-4doiSubjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: TK5105.8857 / .I57 2021

Dewey Class. No.: 004.678

Internet of Things for healthcare technologies
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505 0 $a Introduction to Technological advances in Healthcare -- Role of Big data analysis and Bio-electronics for upgrading healthcare technologies -- Automated Epileptic Seizure Detection in Clinical EEG using Frequency-Time Domain Features and Hidden Markov Model -- ECG Data Compression for IoT in Healthcare -- Prospects of Bioelectronics (IC enabled, flexible electronics, sensors, systems etc) for Biomedical Engineering and Healthcare in the information age -- Security and Privacy concerns in Healthcare -- Internet of Medical Things -- THz Sources and Detectors for Biomedical Application -- Big data analytics for Internet of Medical Things -- Biomedical Image Analysis: A Predictive Approach -- Missing data handling in medical questionnaires using hybrid methods.
520 $a This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals' steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.
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