Title Sleep pants and artificial intelligence help with babies’ sleep problems Degree of recognition International Media type Web Country/Territory Finland Date 03/10/2019 Description Neurological research of infants is still mostly conducted through observation, which makes it challenging to predict abnormal development. Sleep pants that utilise artificial intelligence can give a doctor information that cannot be obtained through discussions with the parents or seeing the baby at the practice. Sampsa Vanhatalo, Professor in Clinical Neurophysiology at the University of Helsinki, leads RIB, a research project that aims to develop solutions to diagnostics and mobile monitoring of treatment of early infant brain activity. The sleep pants are developed together with researcher Elina Ilén from Aalto university. The research is conducted at the BABA Centre at the Children’s Hospital. It is a part of the Health from Science (TERVA) research programme that aims to seek bold, new research initiatives that can solve health issues related to major public health diseases.
In practice the sleep pants use a small sensor that monitors breathing. The sensor is attached to the pants on the waist, below the navel. The information on breathing movement is transferred via a Bluetooth connection to a smartphone, where the data is unpacked and transferred to be analysed by an artificial intelligence algorithm. The algorithm recognises the deep and light sleep stages and interprets changes in breathing. To date, the pants have been tested in the Children’s Hospital when using the EEG or the sleep laboratory. An official sleep study such as this can be used to teach the AI algorithm. Eventually, it will learn to recognise the sleep stages independetly. The pants have been tested overnight at the patient’s home, which confirmed that dependable monitoring is possible also long term.
Producer/Author Academy Of Finland Persons Elina Ilen, Sampsa Vanhatalo