Search result for Wearable device data Online Courses & Certifications
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Rapid Prototyping of Embedded Interface Designs
by Bruce Montgomery, PhD, PMP- 0.0
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Approx. 10 hours to complete
The class includes an introduction to rapid prototyping, prototyping device and system user interfaces, prototyping devices, and design considerations and perspectives for devices. Prototyping Device UIs Prototyping Device UIs Designing with Data Data Analysis and AI for IoT Networks...
The Development of Mobile Health Monitoring Systems
by Evgenii Pustozerov , Yuliya Zhivolupova , Aleksei Anisimov- 0.0
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Approx. 21 hours to complete
Working on this task throughout the course, you will acquire a knowledge on how these branches of science, including electronics, mathematics, data science and programming are applied together in a real project. Data Exchange Between Device And Personal Computer Package Data Transferring Plotting Real-Time Data with Arduino Hardware Package Saving Data from Arduino Virtual COM-Port...
Medicine in the Digital Age
by Kirsten Ostherr , Bryan Vartabedian MD- 0.0
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4 Weeks
Fred Trotter, Data Journalist and Author of Meaningful Use and Beyond (2011) We will explore the role of social media in healthcare communication, the uses of wearable technologies, the potential for big data to reshape health behaviors, the ethics of personalized medicine, and the impact of these new developments on the doctor-patient relationship....
$25
Smart Device & Mobile Emerging Technologies
by Jong-Moon Chung- 4.7
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Approx. 32 hours to complete
Since everybody uses smartphones and smart watches, knowing the details about the most globally used electronic device will definitely help you in all aspects of new product and app design & development, as well as business planning. Consequently, this course will prepare you to be more successful in businesses strategic planning in the upcoming smart device era....
Cybersecurity in Healthcare (Hospitals & Care Centres)
by Jason H. Pridmore , Tessa A. P. Oomen- 4.6
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Approx. 15 hours to complete
It explains how the rise of technologies and proliferation of (medical) data has become an attractive target to cybercriminals, which is essential in understanding why adequate cybersecurity measures are critical within the healthcare environment. Types of data in healthcare How to handle health data and personnel information Data breaches, hackers, and malware in healthcare...
IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies
by Jong-Moon Chung- 4.7
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Approx. 13 hours to complete
Naturally, as this trend continues, in the near future almost all devices and appliances will include IoT modules which will use sensor data collection and control/management based on Clouds....
Extracting Wearable Device Data for ABA (1.5 CEUs) | Udemy
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In this course you will learn how to export data from wearable devices, such as a FitBit smart watch. You will then learn how to upload the data into Google Drive and convert it into a Google Sheet....
Send and sync data on Wear OS | Android Developers
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To help synchronize data between devices, Google’s servers host a cloud node in the network of devices. The system synchronizes data to directly connected devices, the cloud node, and to wearable devices connected to the cloud node using Wi-Fi. A sample network of nodes with handheld and wearable devices. Listen for important data ....
Managing Wearable Sensor Data through Cloud Computing
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computing and communication devices are able to interact with the Cloud and share the same data resources. Wearable – textile sensors collect...
What is Wearable Technology? Examples of Wearables ...
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Wearable technologies, known mostly just as “wearables,” are electronic devices that are physically worn by individuals in order to track, analyze and transmit personal data. These “smart” IoT devices can track biometric data from heart rate to sleep patterns, and are also becoming popular consumer technologies in the gaming and fashion ....
Wearable Technology Applications in Healthcare: A ...
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Wearable devices may collect very large amounts of personal data due to their capacity for continuous data recording at high frequencies coupled with potential large population use. The collected data fits into the big data domain by meeting the four “V” characteristics (volume, variety, veracity, velocity) of big data....
