The Dreem headband – the home sleep monitor on par with ‘gold standards’ for sleep-stagingįrench technology start-up Dreem has produced a battery-powered, AI-enabled headband made from lightweight, waterproof foam to be worn during sleep.ĭreem’s latest headband, the Dreem 2, has five electroencephalogram (EEG) sensors that measure brain activity, a pulse oximeter to monitor heart rate and an accelerometer to record movement and breathing during the night.Ī deep learning algorithm analyses these readings, and when the headband is combined with the Dreem smartphone app, they are used to provide daily reports on the user’s sleeping habits. We take a look at six innovative devices that collect this data, and use it to produce insights and advice on how the user can improve the quality of their sleep. The total amount of sleep, sleep disturbances and time spent awake, sleep latency – how long it takes to fall asleep – and the various stages of sleep, from lighter phases all the way to deeper rapid eye movement (REM) can all be measured during the night to produce a sleep score. However, monitoring sleep can help to diagnose and tackle these problems – and new technologies mean this can be done at home, without the need for visits to sleep clinics and other experts. These disorders mean people don’t get enough rest, or have a generally poor quality of sleep, increasing the risk of cardiovascular diseases, high blood pressure, diabetes and stress. Statistics from the World Sleep Society show that up to 45% of people are affected by disorders such as insomnia, sleep apnoea and narcolepsy, creating an increased demand for home-based sleep monitoring.
Sleep disorders are seen as a global epidemic, adversely affecting millions of people's health and quality of life (Credit: Pixabay)
Companies are increasingly using artificial intelligence, machine learning and other disruptors to help people monitor their sleep at home
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