In the morning,your biomotion device’s data is uploaded from your smartphone to ResMed’s proprietary cloud for analysis and sent immediately back to your smartphone. You get a lot of information about every night’s sleep broken into two charts. This is where you get recommendations on how to get a better nights sleep. That is another part of what distinguishes S+ from the other sleep trackers.
The first display is your sleep pattern in a bar graph format, It indicates the amount of times you were awake, when you were experiencing REM (rapid eye movement) sleep, and when you were sleeping lightly or deeply.
The Sleep Efficiency number takes into consideration your time asleep, the number of interruptions during the night, and how long you are awake during the night. The ResMed S+ cloud algorithm is built around analyzing hundreds of thousands of night’s sleep from their many other prescription medical breathing devices which have SD cards to record a patient’s sleep. Those devices are used by medical sleep specialists to help patients with sleep apnea and other night-time medical breathing difficulties.
Next is the pie chart graph on your smartphone.
Below are the charts I downloaded from the ResMed proprietary cloud for the total time I tested the S+. This information distinguishes this review from others who only worked with the S+ for a week or so.
The first item in the ten part report is the Summary information, a simple capsule of the time you have been recording with quick reference averages. I skipped over a couple of other charts to the Bedtime information. That chart shows I got to bed within a half hour of the same time every night during the recorded period.
The next chart shows how long I slept. The two nights where I didn’t get as much sleep were when I had a sinus infection and the doctor was treating me with homeopathic medications. The following chart shows how often I was awake each night. It shows a low of only being awake three times per night to a high of eight times per night.
Sleep Efficiency is the next chart. When comparing the dates where the efficiency was low with the previous chart showing hours of sleep on those dates,you can see how those few nights of being sick really impacted the overall averages in every category.