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Fighting reduction in global GDP with Smart Pyjamas

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February 21, 2025

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Researchers at the University of Cambridge have made a breakthrough in sleep monitoring technology with the development of innovative 'smart pyjamas'. These pyjamas are equipped with printed fabric sensors that can detect breathing patterns and monitor sleep disorders such as sleep apnoea. The sensors are designed to be comfortable and washable, allowing for easy at-home monitoring without the need for invasive equipment or visits to sleep clinics.

The smart pyjamas utilize a 'lightweight' AI algorithm to analyze the data collected by the sensors and can accurately identify six different sleep states with an impressive 98.6% accuracy. This technology is a game-changer in the field of sleep monitoring, as it can distinguish between regular sleep movements and disordered sleep patterns, providing valuable insights into an individual's sleep quality.

According to the researchers, sleep is crucial for overall health, yet a significant portion of the population experiences poor sleep quality. This not only leads to personal health issues but also has broader economic implications, with an estimated one percent reduction in global GDP due to sleep-related productivity losses. The smart pyjamas offer a potential solution for individuals struggling with sleep disorders, allowing them to track their sleep patterns and make informed lifestyle changes to improve their sleep quality.

In addition to the sensor-equipped pyjamas, the researchers have developed a machine learning model called SleepNet. This model uses the data captured by the sensors to identify specific sleep states, including nasal breathing, mouth breathing, snoring, teeth grinding, central sleep apnoea (CSA), and obstructive sleep apnoea (OSA). SleepNet is designed to be lightweight and energy-efficient, making it suitable for use on portable devices without the need for complex computational resources.

The potential impact of this technology is significant, particularly for the millions of individuals in the UK and around the world who struggle with sleep disorders. By providing a non-invasive and convenient way to monitor sleep patterns, the smart pyjamas and SleepNet model offer a promising solution for improving sleep quality and overall health. With further development and refinement, this technology could revolutionize the way we approach sleep monitoring and management, ultimately leading to better health outcomes for individuals worldwide.

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