In today’s digital era, wearable sensors have become increasingly popular, thanks to their ability to capture data about our health and fitness levels. With the rapid advancements in technology, the data collected from wearable sensors has the potential to revolutionize the healthcare industry. The book “Data Analytics and Applications of the Wearable Sensors in Healthcare” edited by Begoña Garcia-Zapirain, Shabbir Syed-Abdul, and Luis Fernandez Luque, delves deep into the possibilities and limitations of this technology, and how it can be applied in various areas of healthcare.
Short Summary:
The book “Data Analytics and Applications of the Wearable Sensors in Healthcare” is a comprehensive guide that explores the use of wearable sensors in healthcare. The book covers topics such as data analytics, machine learning, and artificial intelligence, and how they can be used to analyze data collected from wearable sensors. The book also discusses the challenges associated with the use of wearable sensors, such as privacy concerns, and how these challenges can be addressed.
Key Takeaways:
- Wearable sensors have the potential to revolutionize the healthcare industry by providing real-time data about our health and fitness levels.
- Data analytics, machine learning, and artificial intelligence can be used to analyze the data collected from wearable sensors and provide insights into our health.
- The use of wearable sensors in healthcare comes with challenges such as privacy concerns and data security. It is important to address these challenges to ensure the safe and secure use of this technology.
Interesting Fun Fact:
Did you know that the first wearable sensor was invented in the 1960s by a scientist named Edward Thorp? The sensor was a small device that was worn on the toe and could measure the speed and position of a roulette wheel.
Book link: https://www.amazon.com/Analytics-Applications-Wearable-Sensors-Healthcare/dp/3039363506/