Essays about: "Sleep scoring"

Showing result 1 - 5 of 7 essays containing the words Sleep scoring.

  1. 1. Automatic Sleep Scoring Using Keras

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Klara Rehn; Lovisa Colérus; [2018]
    Keywords : ;

    Abstract : Sleep scoring is a diagnosis tool used for medical research. Using electroencefalography (EEG) a researcher observes the electrical activity in the brain and classifies the EEG into different stages. READ MORE

  3. 2. Power Spectral Density Based Sleep Scoring Using Artificial Neural Networks

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

    Author : Josef Malmström; Najib Yavari; [2018]
    Keywords : ;

    Abstract : Sleep scoring is the process that medical researchers use to analyze the sleep of a subject. By looking at signals in the brain and muscles, it is possible to determine the current sleep state of the subject. The procedure is traditionally done manually, requiring a lot of tedious processing of data. READ MORE

  4. 3. Automatic sleep scoring using Keras

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

    Author : Lovisa Colérus; Karla Rehn; [2018]
    Keywords : ;

    Abstract : Sleep scoring is a diagnosis tool used for medical research. Using electroencefalography (EEG) a researcher observes the electrical activity in the brain and classifies the EEG into different stages. READ MORE

  5. 4. Machine Learning for Sleep Scoring

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

    Author : David Ekvall; Rebecka Winqvist; [2018]
    Keywords : ;

    Abstract : In today’s society, Artifical Intelligence (AI) has become one of the most controversial research topics. The Artifical Neural Network (ANN) is a form of AI designed to mimic the human brain and is typically used for pattern recognition. READ MORE

  6. 5. Automated sleep scoring using unsupervised learning of meta-features

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Sebastian Olsson; [2016]
    Keywords : EEG; sleep scoring; support vector machines; deep belief networks; AASM; unsupervised learning; feature extraction; genetic algorithms; meta-features;

    Abstract : Sleep is an important part of life as it affects the performance of one's activities during all awake hours. The study of sleep and wakefulness is therefore of great interest, particularly to the clinical and medical fields where sleep disorders are diagnosed. When studying sleep, it is common to talk about different types, or stages, of sleep. READ MORE