Sleep is one of the most important Health parameters. According to the CDC, about 50-70 million Americans suffer from a sleep disorder. Insufficient sleep can further lead to other health issues. The iPhone and Apple Watch have gotten great amount of sensors to track sleep in detail with various apps. Motion sensors like the gyroscope and accelerometer in these devices are key in tracking sleep. We are breaking down sleep tracking into three ways based on complexity.
The App Way with Instant & your Phone
Instant tracks your sleep automatically using your iPhone’s motion and your sleep behaviour. You don’t even need to keep your phone on the bed for it! You can get data like the time you slept, the time you woke up, your sleep duration, average sleep cycles and more. It is the simplest way to track your sleep without any manual input. Just install the app and you’re good to go. It is available on the App Store & Google Play.
Sleeply has a similar functionality minus the reports, it can help you with automatic sleep tracking on your iPhone too!
The Wearable Way with the Apple Watch
The Apple Watch is great to track sleep in detail. If you sleep wearing your watch, the sensors in your Apple Watch can gather great deal of data about your sleep. Apps like Sleep++ on your Apple Watch can give you a detailed insight into your sleep like your light sleep, deep sleep, restlessness, etc. It’s a more complex way but you’ll get more detailed data from it. Similarly, all fitness trackers like the Fitbit come integrated with sleep tracking.
The IoT way, with Beddit
Beddit is a small device that needs to be kept under your bedsheet to track your sleep in detail. It gives you detailed insight into your sleep with other data like Heart Rate, snoring, respiration, room temperature and more. This device is recommended if you’re suffering sleep disorders.
If you’re new to sleep tracking a simple phone app like Instant is a good starting point, moving ahead with a wearable or IoT device based on the data you are looking to track.
Additional Reading on Sleep Tracking