Sleep Monitoring

sleep and respiration monitoring sensor

Why sleep monitoring?

Having a good sleep is very important for our health especially in today’s busy lifestyle, some of us can manage the hours of sleep they can get per night but there are still a lot of people can not achieve that. Having a usual unhealthy sleep pattern will lead to causing health problems. So, by having the ability to monitor our sleep this will help us to take care of our health andavoid any sleeping disorder which will put our life’s in risk.

What is sleep monitoring?

Sleep monitoring refers to the process of monitoring a person throughout the night in order to come up with some qualitative sleep measures. The quality metrics help convey an objective view of the quality of one’s sleep and help discover trends over time. Relevant metrics can be the length of a sleep period, number of awakenings, length of restless sleep periods and the time needed to fall asleep. These metrics can even lead to a rather comprehensive hypnogram which divides the duration of sleep intodifferent sleep stages. These stages are mainly divided into two major groups: REM (Rapid Eye Movement) and NREM (non-REM). NREM is further divided into Wake, Stage 1, Stage 2 and Stage 3. While Stage 1 and Stage 2 are collectively known as Light Sleep, Stage 3 is referred to as Deep Sleep.What is sleep monitoring? NewIt is the process of tracking a person sleep during his sleep via using Our digital radar inorder to collect our needed data and then apply a very special sleeping algorithm that is purely made by Transrobotics team to discover the difference in a person sleeping pattern throughout the night. Last but not least we will end up generating our metrics based on the sleeping data that will help to understand the differences of sleeping stages to that person.

RPM variability

How do we do sleep monitoring?

The present sleep stage algorithm is primarily based on two metrics: RPM (Respiration per minute) and the movement metric read by the TransRobotics sensor module. The RPM rate and variability are used to identify REM sleep, while the movement metric is used to distinguish among Deep Sleep, Light Sleep and Wake stages. The RPM and the movement metrics are averaged and smoothed on multiple levels, and then compared with threshold values which are either predefined or calculated on the fly. Thedata can later identify sleep stages and be used as a basis for a sleep monitor to identify sleep quantity and quality.