Sökning: "Physiological Signals"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden Physiological Signals.

  1. 1. Deep Learning for the prediction of RASER-MRI profiles

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik

    Författare :Filip Arvidsson; Jonas Bertilson; [2023]
    Nyckelord :MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

    Sammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER

  3. 2. The experience of using medical wearable devices from the older adults' perception : A descriptive literature review

    Kandidat-uppsats, Högskolan i Gävle/Avdelningen för vårdvetenskap

    Författare :Hao Shen; Yi Yao; [2023]
    Nyckelord :;

    Sammanfattning : Background: Since the 60s of the 20th century, wearable technology has attracted theattention of researchers all over the world. In recent years, with the development of thetimes, wearable technology has developed rapidly in the fields of medical care andeducation. LÄS MER

  4. 3. Spot the Pain: Exploring the Application of Skeleton Pose Estimation for Automated Pain Assessment

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Angelica Hjelm Gardner; [2022]
    Nyckelord :automated pain assessment; pain recognition; body movements; skeleton pose estimation; deep learning; neural networks;

    Sammanfattning : Automated pain assessment is emerging as an essential part of pain management in areas such as healthcare, rehabilitation, sports and fitness. These automated systems are based on machine learning applications and can provide reliable, objective and cost-effective benefits. LÄS MER

  5. 4. Sequential Deep Learning Models for Neonatal Sepsis Detection : A suitability assessment of deep learning models for event detection in physiological data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Henrik Alex Siren; [2022]
    Nyckelord :Neonatal sepsis; Deep learning; Recurrent models; Convolutional models; Physiological data; Neonatal sepsis; Djupinlärning; RNN-modeller; CNN-modeller; Fysiologisk data;

    Sammanfattning : Sepsis is a life-threatening condition that neonatal patients are especially susceptible to. Fortunately, improved bedside monitoring has enabled the collection and use of continuous vital signs data for the purpose of detecting conditions such as sepsis. LÄS MER

  7. 5. Untangled! : Untangling Stress in the Workplace

    Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Sarah Skavron; [2022]
    Nyckelord :Interaction design; mental health; stress management; personal informatics;

    Sammanfattning : The topics of mental health and stress in the workplace have received increasedattention in recent years. Many employees report feelings of stress and overwhelm dueto high demands in the workplace. Stress is a complex phenomenon and manifests itselfin both the body (physiological signals) and mind (perceptions, thoughts, feelings andemotions). LÄS MER