Neuro-SysMed-seminar – TECH-CARE
Velkommen til Neuro-SysMeds månedlige seminarer! Denne gangen er foreleser lederen av Care-noden, professor Bettina Husebø og flere av hennes team. Bli med i auditoriet i Armauer Hansens Hus kl. 11:30–13:00 (lunsj kl. 11:30–12:00).
Hovedinnhold
(Engelsk tekst videre siden seminarene er internasjonale og undervisningsspråket på seminarene er engelsk.)
Topic: TECH-CARE
Speaker: The Care node by Bettina Husebø, Zoya Sabir, Haakon Reithe, Valentina Casadei, and Kamilla Haugland-Pruitt
Place: The auditorium in Armauer Hansens Hus (campus Haukeland University Hospital, Bergen)
Time: Wednesday February 12, 2025, at 11:30–13:00 (lunch 11:30–12:00).
Registration: please use this link
Langage: English
Abstract: The Care node led by Bettina S. Husebø, will bring talks from Zoya Sabir, Haakon Reithe, Valentina Casadei, and Kamilla Haugland-Pruitt on the topic of TECH-CARE.
They will look at wearable sensor technologies and how the rich digital data they provide could enhance understanding of symptoms, behaviors, and response to treatment in older adults with complex conditions, such as people with dementia and Parkinson’s disease.
In this seminar, Zoya Sabir (CC.AGE project) will address challenges related to the assessment of dietary intake and hydration status using traditional methods and explore the potential use of sensor technology for assessment of hydration status. Haakon Reithe (ActiveAgeing: DIGI.PARK study) will showcase a novel way of quantifying tremors in people with Parkinson’s disease in free living conditions. This method is data-independent and provides an index in known tremor frequencies. To validate, we compare most-affected with least tremor-affected hand. Valentina Casadei (DARK.DEM study) will present advancements in technology for heart rate and respiration monitoring through cutting-edge wearable devices. Kamilla Haugland-Pruitt (5-D project) asks the question: how can we objectively know when a person with dementia is reaching the end-of-life? Smart watches and radar installation will give us novel information which can potentially, with help of algorithms, predict death.