Essays about: "Sömnstörningar"

Found 3 essays containing the word Sömnstörningar.

  1. 1. Evaluating machine learning methods for detecting sleep arousal

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anton Ivarsson; Jacob Stachowicz; [2019]
    Keywords : Machine learning; Sleep Arousal; Polysomnography; Automatic Detection; Bachelors Thesis; Big Data; Maskininlärning; Sömnstörningar; Polysomnografi; Automatisk Detektion; Kandidatuppsats; Big Data;

    Abstract : Sleep arousal is a phenomenon that affects the sleep of a large amount of people. The process of predicting and classifying arousal events is done manually with the aid of certified technologists, although some research has been done on automation using Artificial Neural Networks (ANN). READ MORE

  3. 2. Klomipraminbehandling vid separationsrelaterade problem hos hund

    University essay from SLU/Dept. of Biomedical Sciences and Veterinary Public Health

    Author : Emma Jiborn; [2018]
    Keywords : klomipramin; separationsångest; serotonin; SNRI; återupptagshämmare; beteendeterapi; tricykliska antidepressiva;

    Abstract : Att behandla hundar mot separationsångest är viktigt både ur ett djurskydds- och djurägarperspektiv. Hundar är i naturen mycket sociala djur som har ett behov av en anknytningsperson (attachment figure). READ MORE

  4. 3. Predicting forthcoming sleep disturbances - the role of emotional regulation

    University essay from Örebro universitet/Institutionen för juridik, psykologi och socialt arbete

    Author : Björn Klug; [2012]
    Keywords : Sleep disturbance; emotional regulation; person oriented approach; Sömnstörningar; emotionell reglering; personorienterad ansats;

    Abstract : The role of emotional regulation as a predictor for forthcoming sleep disturbances was investigated within the Prospective Investigations on Psychological Processes for Insomnia (PIPPI) study. Participants were classified to one of four sleep groups in accordance with a classification algorithm based on self report-data on nighttime symptoms, daytime symptoms, and sleep disorders other than insomnia. READ MORE