Now showing items 1-9 of 9

  • Categorical assessment of depression based on high level features.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Vazakopoulou, Kalliopi-Marina
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2018-04-17
    Depression is one of the leading causes of ill health and disability worldwide. In the US nearly 50 million people were living with depression in 2015. According to the latest estimates from the World Health Organization ...
  • Categorical assessment of depression based on low level features.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Maridaki, Anna
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2018-06-01
    Mental illness is a disease which usually causes behavior disturbances. Nowadays, mental disorders are commonplace, affecting a large number of people. There are more than 200 forms of mental illness. Depression, bipolar ...
  • Estimating human activity patterns in dynamic environments based on smart, wearable sensors : a feasibility study.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Chatzaki, Charikleia
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2016-07-15
    The demands for understanding human activities have steadily grown in recent years in the health-care domain, especially in elder care support, rehabilitation assistance, diabetes, cognitive disorders, assisting living and ...
  • Pathway analysis for ChIP-seq data.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Atsalaki, Xanthoula
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2018-01-22
    With the completion of the human genome sequence, attention turned to identifying and annotating its functional DNA elements and the interactions among them through different phenotypes. Epigenetics is a field of biology ...
  • Signal processing methods for the estimation of physiological parameters from optical recordings.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Christinaki, Eirini
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2017-01-16
    Monitoring of physiological signals of an individual via remote and contactless means is an important scientific challenge, whose resolution will enable the development of novel, non-intrusive mHealth and wellness-management ...
  • Wellness management and positive psychology app for smartphone platforms.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Strataki, Evangelia
    Thesis advisor: Akoumianakis, Dimosthenis; Kalaitzaki, Argyroula; Tsiknakis, Emmanouil
    Publication Date: 2017-09-12
    This thesis describes the development of an Android application called “BeHappier”. The objective of the “BeHappier” app is to help individuals to improve their well-being and increase their life satisfaction. The “BeHappier” ...
  • Human activity recognition using smartphones.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Malliotakis, Theodoros
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2017-02-20
    Many countries are facing an increasing elderly population. Consistently low birth rates and higher life expectancy is transforming the shape of the EU-28’s age pyramid; probably the most important change will be the marked ...
  • Exploring eye activity as an indication of emotional state.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Tzedakis, Charalampos
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2016-10-31
    The human eye allows vision but also reflects mood, emotional state, mental and physical condition. Εye activity and behavior reflected in pupil size, gaze direction, eyelid motion or eye opening are affected by states of ...
  • Design and implementation of an active electrodes based eeg device, suitable for use in steady state visual evoked potentials (SSVEP). Study and applications.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Lygerakis, Michail
    Thesis advisor: Tsiknakis, Emmanouil; Sakkalis, Evangelos
    Publication Date: 2016-07-18
    Steady State Visually Evoked Potentials (SSVEP) are defined as signals produced by the brain as responses to visual stimulation at certain frequencies. When a visual stimulus ranging from 3.5 Hz to 75 Hz, [1] stimulates ...