Search for dissertations about: "sleep-activity"

Found 3 swedish dissertations containing the word sleep-activity.

  2. 1. Sleep-Wake-Activity and Health-Related Quality of Life in Patients with Coronary Artery Disease and evaluation of an individualized non-pharmacological programme to promote self-care in sleep

    Author : Anna Johansson; Ulla Edéll-Gustafsson; Jan Ejdebäck; Jan-Erik Broman; Linköpings universitet; []
    Keywords : Actigraphy; coronary artery disease; health-related quality of life; insomnia; non-pharmacological programme; nursing; self-care management; sleep-activity; sleep quality;

    Abstract : Sleep is a basic need, important to physical and psychological recovery. Insomnia implies sleep-related complaints, such as difficulty falling asleep, difficulty staying asleep, early awakening, or non-restorative sleep (NRS) in an individual who has adequate circumstances and opportunity to sleep. READ MORE

  4. 2. Non-image-forming effects of light : Implications for the design of living and working environments

    Author : Mathias Adamsson; Thorbjörn Laike; Maria Johansson; Yvonne de Kort; Institutionen för arkitektur och byggd miljö; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; circadian rhythms; circannual; light exposure; melatonin; cortisol; sleep-wake behavior; perception; mood; spectral composition; measurement;

    Abstract : Seasonal variation in mood and subjective well-being are common at geographical locations further away from the equator. The 24-h light-dark cycle is the main time cue for synchronizing the human circadian clock to the external day and night. READ MORE

  5. 3. Human Behaviour Recognition of Elderly in Single-Resident IoT Enabled Smart Homes: An Applied Machine Learning Approach

    Author : Zahraa Shahid; Saguna Saguna; Christer Åhlund; Flora Salim; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

    Abstract : In Human Activity Recognition (HAR) systems, activities of daily living/human behaviour are recognized using sensor data by applying data mining techniques and machine learning algorithms to the collected data. This allows for customised and automated services to support humans’ daily living. READ MORE