| Description |
1 online resource (342 p.) |
| Series |
Intelligent Data-Centric Systems: Sensor Collected Intelligence Ser |
|
Intelligent Data-Centric Systems: Sensor Collected Intelligence Ser
|
| Contents |
Intro -- IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications -- Copyright -- Contents -- Contributors -- Preface -- Objective -- Organization of book -- Section I: Health IoT data analytics -- Chapter 1: Internet of things in the healthcare industry -- 1. Introduction -- 2. Origin of Internet of things -- 3. Internet of things in healthcare industry -- 4. Business opportunity in IoT-based healthcare industry -- 5. Quality of service in IoT-based healthcare industry -- 6. Conclusion -- References -- Chapter 2: IoT healthcare architecture -- 1. Introduction |
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2. General healthcare IoT systems -- 3. IoT-based healthcare architecture -- 3.1. m-Health architecture -- 3.2. 6LoWPAN architecture -- 3.3. The architecture of the CoAP -- 3.4. IEEE 11073 architecture for healthcare system -- 4. System design for IoT healthcare applications -- 4.1. Blood glucose control management system -- 4.2. Body temperature checking system -- 4.3. Electrocardiogram for monitoring heart rate -- 4.4. Heart-rate checking system -- 5. Sensors used in IoT healthcare architecture -- 5.1. Accelerometer -- 5.2. Gyroscope -- 5.3. Magnetometer -- 5.4. Electrocardiogram |
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5.5. Temperature sensor -- 5.6. Heart-rate sensor -- 5.7. Blood pressure sensor -- 6. Challenges in IoT healthcare architecture -- 7. Conclusions and future work -- References -- Chapter 3: Characteristics of IoT health data -- 1. Introduction -- 2. Characteristics of IOT health data -- 2.1. Volume -- 2.2. Velocity -- 2.3. Variety -- 2.4. Veracity -- 3. Type of health data -- 3.1. Signal data -- 3.1.1. Electroencephalogram -- EEG results -- 3.1.2. Magnetoencephalogram -- MEG results -- 3.1.3. Electrocardiogram -- ECG results -- 3.1.4. Electromyogram -- EMG results -- 3.1.5. Mechanomyogram |
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MMG results -- 3.1.6. Electrooculography -- 3.1.7. Galvanic skin response -- 3.2. Video data -- 3.2.1. Endoscopy -- The need for endoscopy -- 3.2.2. Laparoscopy -- The need for laparoscopy -- 3.2.3. Thoracoscopy -- The need for thoracoscopy -- 3.2.4. Bronchoscopy -- The need for bronchoscopy -- 3.2.5. Cystoscopy -- The need for cystoscopy -- 3.2.6. Laryngoscopy -- The need for laryngoscopy -- 3.2.7. Mediastinoscopy -- The need for mediastinoscopy -- 3.3. Image data -- 3.3.1. X-rays -- The need for X-rays -- 3.3.2. CT scan -- The need for CT scan -- 3.3.3. Magnetic resonance imaging |
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The need for MRI -- 3.3.4. Positron emission tomography -- The need for PET -- 3.3.5. Ultrasound -- The need for ultrasound -- 4. Conclusion -- References -- Chapter 4: Health data analytics using Internet of things -- 1. Introduction -- 1.1. Types of health IoTDA -- 1.2. Platform for health IoTDA -- 1.3. Utility of health IoTDA -- 2. Literature review -- 3. Methods used for health IoTDA -- 3.1. Unsupervised learning techniques -- 3.2. Supervised learning techniques -- 4. Bottlenecks of the health IoTDA -- 4.1. Performance of IoTDA methods -- 4.2. Latency and response time |
| Notes |
Description based upon print version of record |
| Form |
Electronic book
|
| Author |
Singh, Ravi Shankar
|
|
Pandey, Anil Kumar
|
|
Udmale, Sandeep S
|
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Chaudhary, Ankit
|
| ISBN |
9780128214763 |
|
0128214767 |
|
