Two-Dimensional Convolutional Neural Network for Depression Episodes Detection in Real Time Using Motor Activity Time Series of Depresjon Dataset [PDF]
Bioengineering, 2022 Depression is a common illness worldwide, affecting an estimated 3.8% of the population, including 5% of all adults, in particular, 5.7% of adults over 60 years of age.
Carlos H. Espino-Salinas +6 more
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Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients [PDF]
Diagnostics, 2019 Depression is a mental disorder characterized by recurrent sadness and loss of interest in the enjoyment of the positive aspects of life, in addition to fatigue, causing inability to perform daily activities, which leads to a loss of quality of life.
Laura A. Zanella-Calzada +7 more
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Seasonality in mood disorders: Probing association of accelerometer-derived physical activity with daylength and solar insolation. [PDF]
PLOS Mental HealthMood disorders are the leading cause of disability worldwide. Up to 30 percent of individuals with major depressive disorder (MDD) and bipolar disorder (BD) display a seasonal pattern of onset, a phenomenon now recognized in the official diagnostic ...
Oleg Kovtun, Sandra J Rosenthal
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JMIR Mental HealthBackgroundDepression is one of the most prevalent mental health disorders globally, affecting approximately 280 million people and frequently going undiagnosed or misdiagnosed.
Iftikhar Ahmed +4 more
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«På skalaen som er meg, er det ikke plass til minuspoeng»
Nordisk Tidsskrift for Ungdomsforskning, 2021 Denne artikkelen tar for seg unges opplevelser av depresjon i skjæringspunktet mellom det biografiske og det samfunnsmessige inspirert av Arnetts begrep «emerging adulthood». I denne kvalitative studien har vi intervjuet ni unge voksne med lett depresjon
Kristin Beck Gjellesvik +1 more
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Proceedings of the 9th ACM Multimedia Systems Conference, 2018 Wearable sensors measuring different parts of people's activity are a common technology nowadays. In research, data collected using these devices also draws attention. Nevertheless, datasets containing sensor data in the field of medicine are rare. Often, data is non-public and only results are published.
Enrique Garcia-Ceja +6 more
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Omsorg til siste livsfase for yngre personer med demens: Omsorg som fremmer livskvalitet?
Nordisk Tidsskrift for Helseforskning, 2021 Yngre personer med demens (< 65 år) har andre erfaringer og behov enn eldre personer med demens. God hjelp i tidlige faser kan være til liten hjelp senere.
Kirsten Thorsen, Aud Johannessen
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Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data
IEEE Access, 2022 Artificial intelligence and machine learning have recently attracted considerable attention in the healthcare domain. The data used by machine learning algorithms in healthcare applications is often distributed over multiple sources, for instance ...
Amin Aminifar +4 more
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Måleegenskaper ved den norske versjonen av Beck Depression Inventory 2. utgave (BDI II)
PsykTestBarn, 2011 Beskrivelse: Beck Depression Inventory II (BDI II) er en selvvurderingsskala med 21 ledd som måler grad av depresjon hos ungdom over 13 år og voksne.
Johan Siqveland, Hege Kornør
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Fysioterapeuters erfaringer med bruk av fysisk aktivitet til eldre deprimerte
Nordisk Tidsskrift for Helseforskning, 2015 This article is based upon a study of the experiences of physiotherapists working with elderly depressed patients and the use of physical activity. Depression in the elderly is a common condition, and it is estimated to be the second most common cause of
Anne Margrethe Ulleberg +1 more
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