In this way, Fitbit devices would reduce costs and increase the accessibility of sleep tracking for patients.
However, consumer wearable devices such as the Fitbit device are gaining traction as a less expensive and less intrusive option to collect sleep data from patients.Īlready commercially available for the general population, the adoption of Fitbit devices to automatically detect and store sleep data via the Fitbit app would allow for sleep analyses to occur outside of traditional sleep laboratories. Polysomnography’s sleep data is obtained through the use of multiple technologies including electroencephalographic (EEG) to measure brain waves, electromyographic (EMG) to measure muscle activity, and electrooculographic (EOG) to measure eye activity which ensures its validity.
Each sleep stage has specific brain waves, muscle, and eye activity that allows researchers to detect when a person has entered each stage of sleep and to measure for how long they are in each stage.
0 kommentar(er)
