BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Leamington Cafe Scientifique - ECPv6.17.4.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Leamington Cafe Scientifique
X-ORIGINAL-URL:https://www.leamingtoncafesci.org
X-WR-CALDESC:Events for Leamington Cafe Scientifique
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20261025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20250120T193000
DTEND;TZID=Europe/London:20250120T210000
DTSTAMP:20250102T193151Z
CREATED:20240820T180221Z
LAST-MODIFIED:20250102T193151Z
UID:1528-1737401400-1737406800@www.leamingtoncafesci.org
SUMMARY:Artificial intelligence for pre-screening of insomnia
DESCRIPTION:Prof Maia Angelova\, Aston Digital Futures Institute (ADFI)\, Aston University. \n\n\n\nInsomnia is increasingly recognised as presenting a significant public health problem and has been associated with increased risk for a diverse range of health-related problems and reduced quality of life. While this condition affects more than one third of the adults in Western countries\, it is underdiagnosed as individuals are unaware that their sleep is unhealthy. This justifies a pre-screening system for stratifying the risk of insomnia\, however such a system does not exist yet. \n\n\n\nWearable devices provide non-invasive means for continuous monitoring of patients\, which produce vast amounts of complex data\, well suited for artificial intelligence (AI) algorithms and patient-centred care. Physical activity data have been used as complimentary means to improve accuracy of insomnia assessment and have shown potential for screening insomnia in the home environment. \n\n\n\nIn this talk\, Maia will consider the potential of AI to classify acute and chronic insomnia from healthy sleep through the use of wearable data.
URL:https://www.leamingtoncafesci.org/event/artificial-intelligence-for-pre-screening-of-insomnia/
LOCATION:St Patricks Irish Club\, 4 Adelaide Road\, Leamington Spa\, CV31 3PW
CATEGORIES:Monthly meeting
END:VEVENT
END:VCALENDAR