By Chintan Bhatt, Visit Amazon's Nilanjan Dey Page, search results, Learn about Author Central, Nilanjan Dey, , Amira S. Ashour
This finished booklet makes a speciality of greater big-data safeguard for healthcare agencies. Following an in depth creation to the net of items (IoT) in healthcare together with not easy themes and eventualities, it bargains an in-depth research of scientific physique quarter networks with the fifth new release of IoT communique expertise besides its nanotechnology. It additionally describes a unique strategic framework and computationally clever version to degree attainable defense vulnerabilities within the context of e-health. additionally, the publication addresses healthcare structures that deal with huge volumes of information pushed by means of sufferers’ documents and health/personal details, together with big-data-based wisdom administration structures to help medical judgements. numerous of the problems confronted in storing/processing giant information are awarded in addition to the on hand instruments, applied sciences and algorithms to house these difficulties in addition to a case research in healthcare analytics. Addressing belief, privateness, and defense matters in addition to the IoT and big-data demanding situations, the e-book highlights the advances within the box to steer engineers constructing varied IoT units and comparing the functionality of other IoT concepts. also, it explores the effect of such applied sciences on public, deepest, group, and hybrid eventualities in healthcare. This e-book deals execs, scientists and engineers the newest applied sciences, thoughts, and methods for IoT and large facts.
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Additional resources for Internet of Things and Big Data Technologies for Next Generation Healthcare
Sample text
Rapid development of low power device and protocol design, improves the resources utilization in efficient way. In every application from large scale to small scale, implementation cost and effective service need to be satisfied. In many application scenario providing main power line is difficult task, so the possible way is battery operated devices, when the battery runs out its energy frequently it affects both Energy Efficient Network Design for IoT Healthcare Applications 43 implementation cost as well as user service.
24 Y. Bhatt and C. Bhatt Table 2 Application in the area of Internet of Things Application Description Google fit Calorie counter Keeps track of cycling, running and walking Keeps track of food consumed by the user as well as his/her weight and measurements Records the number of steps user take and display related information such as burnt calorie Displays ECG data through a wireless terminal Calculates the pulse rate and SpO2 Keeps track of many health parameter such as body, water, weight, body temperature, fat, BP and various physical activities Provides impact alerts, tracks the driver’s position in real time and has emergency support features in case of an accident Helps the user in exercise and meditation Pedometer ElektorCardioscope iOximeter Health assistant Honda connect Mayo Clinic Meditation Calm uHear My CF (cystic fibrosis) Skin vision iFall eCAALYX Eye Care Plus Noom walk Runtastic heart rate Asthma tracker and log Healthy children Instant heart rate Finger print thermometer DoseCast medication reminder Helps user to mediate, relax and sleep Allows for the self-assessment of hearing Keeps track of user’s cystic fibrosis status It keeps track of the patient’s skin health and enables the early discovery of any skin disorder Detects a fall and responds accordingly Monitors several chronic diseases Tests and monitors vision Serves as a pedometer to count user steps Measure the heart rate on real-time basis Keeps track of patient’s asthma Can search for pediatricians by locations Measure the heart rate using smartphone’s built in camera to sense the change of the fingertip which us directly related to the pulse It detects the body temperature from finger print Reminds the user of medication times, tracks the inventory and maintains a log for drug management Some Gateway devices have the capacity to store data, to run some pre-processing algorithms evaluating whether the data is clinically relevant, and to send the data intermittently to remote servers.
24 Y. Bhatt and C. Bhatt Table 2 Application in the area of Internet of Things Application Description Google fit Calorie counter Keeps track of cycling, running and walking Keeps track of food consumed by the user as well as his/her weight and measurements Records the number of steps user take and display related information such as burnt calorie Displays ECG data through a wireless terminal Calculates the pulse rate and SpO2 Keeps track of many health parameter such as body, water, weight, body temperature, fat, BP and various physical activities Provides impact alerts, tracks the driver’s position in real time and has emergency support features in case of an accident Helps the user in exercise and meditation Pedometer ElektorCardioscope iOximeter Health assistant Honda connect Mayo Clinic Meditation Calm uHear My CF (cystic fibrosis) Skin vision iFall eCAALYX Eye Care Plus Noom walk Runtastic heart rate Asthma tracker and log Healthy children Instant heart rate Finger print thermometer DoseCast medication reminder Helps user to mediate, relax and sleep Allows for the self-assessment of hearing Keeps track of user’s cystic fibrosis status It keeps track of the patient’s skin health and enables the early discovery of any skin disorder Detects a fall and responds accordingly Monitors several chronic diseases Tests and monitors vision Serves as a pedometer to count user steps Measure the heart rate on real-time basis Keeps track of patient’s asthma Can search for pediatricians by locations Measure the heart rate using smartphone’s built in camera to sense the change of the fingertip which us directly related to the pulse It detects the body temperature from finger print Reminds the user of medication times, tracks the inventory and maintains a log for drug management Some Gateway devices have the capacity to store data, to run some pre-processing algorithms evaluating whether the data is clinically relevant, and to send the data intermittently to remote servers.