Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Sleep patterns: Not too complicated (at least for me)
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Sleep patterns: Not too complicated (at least for me)
Data MiningData Visualization

Sleep patterns: Not too complicated (at least for me)

StephenBaker1
StephenBaker1
4 Min Read
SHARE

Last year, when I was still at BusinessWeek, I checked out Zeo, the sleep-monitoring tool. I was thinking about doing a story just about sleep, but the Wall Street Journal did one. So I worked Zeo into a story about Gordon Bell and his attempt to log the data of his life. It’s pretty clear to me that we’re going to have more and more tools to monitor our behavior and body functions, and sleep is an important part of that.

In the first week using Zeo, I learned a lot about my sleep patterns. It was interesting. I usually fell asleep within 10 minutes, entered deep sleep early in the night, and then divided the rest of the sleep between REM and light sleep. One time I thought I had been awake for a couple of early morning hours, but later saw that I had been in REM for most of that time. I was probably dreaming that I was struggling to fall asleep.

Every night you get a ‘score’ on the quality of your sleep. It’s based on an algorithm that combines hours of sleep, REM and deep sleep…


Last year, when I was still at BusinessWeek, I checked out Zeo, the sleep-monitoring tool. I was thinking about doing a story just about sleep, but the Wall Street Journal did one. So I worked Zeo into a story about Gordon Bell and his attempt to log the data of his life. It’s pretty clear to me that we’re going to have more and more tools to monitor our behavior and body functions, and sleep is an important part of that.

More Read

Tweets Per Day Analysis
Easier Software Drives Data-Driven Decision Making
Wordle Beautiful Word Clouds
Can the business use decision management technology without IT help?
Innovation Jam ’08 Report

In the first week using Zeo, I learned a lot about my sleep patterns. It was interesting. I usually fell asleep within 10 minutes, entered deep sleep early in the night, and then divided the rest of the sleep between REM and light sleep. One time I thought I had been awake for a couple of early morning hours, but later saw that I had been in REM for most of that time. I was probably dreaming that I was struggling to fall asleep.

Every night you get a ‘score’ on the quality of your sleep. It’s based on an algorithm that combines hours of sleep, REM and deep sleep. On my best nights, I broke into the 80s. My 21-year-old son tried it one night and broke 100. (You don’t need a machine to know that younger people sleep more deeply.)

The point, of course, is to improve your score. You upload your data to a Web site, and Zeo provides automated coaching. The problem for me, and the reason I stopped using the machine, is that my sleep turned out to be simple. As I see it, there are four variables that I can control: Alcohol, caffeine, bedtime, animals. In other words, if I minimize alcohol and caffeine (in the p.m.), shut the cats in the basement and go to bed before 11, I get a good score. Now that I know this, I can lose the electronic headband (which didn’t turn out to be a huge turn-on).

In this sense, the Zeo worked perfectly. The goal for these monitoring machines should be to provide us with feedback, so that we understand and perceive our patterns on our own.

Link to original post

TAGGED:data mining
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Edge Computing in IoT
Unique Capabilities of Edge Computing in IoT
Exclusive Internet of Things
Turning Geographic Data Into Competitive Advantage
The Rise of Location Intelligence: Turning Geographic Data Into Competitive Advantage
Big Data Exclusive
AI Recruitment Software Solution
The Best AI Recruitment Software Solution: Transforming Hiring with Smarter Tech
Artificial Intelligence Exclusive
real estate data
How Big Data Is Changes How We Buy and Sell Real Estate
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Predictive Analytics and Politics – Part 2

5 Min Read

Take the Predictive Analytics in the Cloud survey

2 Min Read

Netflix zip-code data: How about political overlay?

2 Min Read

IRS Internal Migration Data and Housing Bubble

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?