AI Algorithm is Here to Big Goodbye to Sleep Disorders!!!

Sleep disorder is no new news to today’s generation. For many around us, a proper good night’s sleep is a very difficult feat. Sleeping disorders cause a lot more than sleeplessness. http://www.shopmedpills.com/provigil-online.php  It becomes impossible to go to sleep or even stay asleep thereby taking a toll on your reflexes, your regular activities, relations with other people, causing accidents, influencing your health in a negative way and paralyzing your psychological ability and making you feel disconnected with the world. While baths and warm glasses of milk seem like a simple solution, only people suffering from it know how tormenting it can get. 

Most often it becomes too late for someone to identify the problem before they can seek proper medical attention. thanks to the researchers at the Massachusetts Institute of Technology, sleep disorder will soon become a peril of the past as they, in collaboration with Massachusetts General Hospital have developed an AI algorithm that utilizes radio waves to monitor snoozing. It allows professionals to monitor various sleep stages without having to attach any physical sensors to the body and works using a sophisticated algorithm.

How does it work?

The AI algorithm developed by the various electrical and computer science engineers of the Instituteanalyzes the radio signals around the person, in the room and translates them into various degrees of sleep like light, deep or rapid eye movement commonly known as REM sleep. According to the experts working on the project, the aim is to develop health sensors that would dissipate into the background and collect vital psychological signals and other crucial health metrics without having the user change his or her behavior. These radio based sensors sit in the corner of the room analyzing reflections on the body using RF signals and discovering various bodily changes.

How effective is this?

The AI algorithm is very efficient and effective and has been tested multiple times. When tested on 25 different volunteers, the results were around 80% accurate which was similar to the accuracy rate received on an EEG measurement. The algorithm does not require any calibration and is not limited to any degree by physical obstacles as they can be used in various locations and on a variety of people.

How is it different from other attempts at understanding sleep disorders?

Many might question the utility of this algorithm as various similar efforts have been made to resolve sleep disorder using such techniques before. This algorithm is however different and much more successful than it predecessors because it is trained a certain way to ignore all other wireless signals that bounce off of objects in the room. It is programmed to concentrate on only those data which are reflected from the person who is asleep.

Conclusion

This algorithm is efficient and useful in the progress of technology especially to improve health issues as complex as sleep disorders. This methodology, however, can also be used to treat various other diseases like Alzheimer’s and Parkinson’s disease which are often mildly associated with disrupted sleep regiments.