| Description |
1 online resource (199 p.) |
| Series |
Advances in Data Science Driven Technologies Ser |
|
Advances in Data Science Driven Technologies Ser
|
| Contents |
Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- List of Contributors -- Applications of Internet of Things in Telemedicine -- Kumari K Anitha1,*, Avinash Sharma2, T Subitsha1, Varsini S Muhil1 and D Apoorva1 -- INTRODUCTION -- IOT ARCHITECTURE FOR THE HEALTHCARE DOMAIN -- Perception Layer -- Transport Layer -- Processing Layer -- Application Layer -- Business Layer -- Environmental Setup -- Sensors -- Network Connection -- Data Analytics -- Monitoring -- BENEFITS OF IOT IN HEALTHCARE -- Precautionary Medicines Abilities can be Improved by IoT |
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Alerting Medical Personnel -- Faster Handling of Patient Data -- Better Control of Medicine and Medication Adherence -- Minimized Human Error Rate -- Reduction in Expenditures -- Healthcare Access in Villages and Towns -- Advantages in Health Insurance -- Sensors -- Air Bubble Detectors -- Force Sensors -- Infrared(IR) Temperature Sensors -- Humidity Sensors -- Magnetic Sensors -- Oxygen Sensors -- Biosensors -- Chemical Sensors -- Flow Sensors -- Pulse Rate Sensors -- Glucose Sensors -- Image Sensors -- Level Sensors -- Muscle Sensors -- Position Sensors -- Blood Pressure Sensors |
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Heart Beat Sensor -- Notable Wearable Devices -- Hearables -- Smartwatches -- Smart Glasses for Virtual Reality and Augmented Reality -- Smart Dress -- Applications of Iot in the Medical Domain -- Glucose Level Monitoring Systems -- Body Temperature Monitoring -- Monitoring Activities in Cancer Treatment -- Blood Pressure Tracking System -- Heart Monitoring System -- Oxygen Saturation Tracking -- Depression Tracking System -- Asthma Monitoring System -- Drug Management -- Hand Hygiene Monitoring -- Palm Hygiene Monitoring -- Parkinson's Ailment Monitoring -- Movable Chair Management |
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Recuperation System -- Robotization of Healthcare -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Adopting Artificial Intelligence for Remote Patient Monitoring and Digital Health Care -- K. Sharmila1,*, V. Janaki2 and T. Sravanthi3 -- INTRODUCTION -- LITERATURE SURVEY -- Overview of Telemedicine -- Existing Remote Patient Monitoring Systems -- Augmenting Technology in Healthcare -- PROPOSED WORK -- TelemedicineEquipment and Technical Considerations -- REMOTE HEALTH MONITORING APPLICATION (RHMA) -- Doctor's Dashboard -- Patient's Dashboard |
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Development of Health Monitoring Application using Artificial Intelligence and Internet of Things -- Experiments and Results -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Prediction of Skin lesions (Melanoma) using Convolutional Neural Networks -- Deepak Sukheja1,*, B V Kiranmayee1, T. Sunil Kumar1, Malaya Nayak2 and Durgesh Mishra3 -- INTRODUCTION -- DEEP LEARNING METHODS FOR HEALTH CARE -- Deep Learning (DL) -- What are Melanocytes? -- What is a Skin Lesion? -- Background of the work -- Problem Definition -- OBJECTIVES |
| Summary |
This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses |
| Notes |
Description based upon print version of record |
|
Implemented Methodology |
| Form |
Electronic book
|
| Author |
Kautish, Sandeep
|
|
Govardhan, A
|
| ISBN |
9789815079272 |
|
9815079271 |
|
