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Using Mobile Technologies with Psychiatric Patients: Assessing the Potential to Reduce Risk of Developing Diseases Related to Inactivity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00349076" target="_blank" >RIV/68407700:21260/17:00349076 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11120/17:43913193 RIV/68407700:21460/17:00349076 RIV/68407700:21720/17:00349076

  • Result on the web

    <a href="https://doi.org/10.1109/SAMI.2017.7880310" target="_blank" >https://doi.org/10.1109/SAMI.2017.7880310</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SAMI.2017.7880310" target="_blank" >10.1109/SAMI.2017.7880310</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Mobile Technologies with Psychiatric Patients: Assessing the Potential to Reduce Risk of Developing Diseases Related to Inactivity

  • Original language description

    Mental disorders, such as schizophrenia, are accompanied by increased morbidity and mortality rates, potentially reducing the lifespan of patients by up to 10 years. Premature deaths in schizophrenia sufferers are caused mainly by cardiovascular diseases and complications related to excessive weight gain and type 2 diabetes mellitus. Gaining weight is, furthermore, often a side effect of medicine prescribed for the treatment of schizophrenia. This is why treatment protocols are putting a greater emphasis on healthy lifestyle and exercise for patients, which may support both weight loss and suppress feelings of anxiety. It is, therefore, important for a doctor to monitor the exercise habits of their patients. This article focuses on telemonitoring of physical activity and other biological parameters in patients with mental disorders, such as schizophrenia, using the recent m-Health technology in the form of a Fitbit Flex activity tracker. The Soma web portal has been created to continuously monitor, visualize and analyse the data measured on patients within the scope of research activities.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

  • ISBN

    978-1-5090-5655-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    235-240

  • Publisher name

    Czechoslovakia Section IEEE

  • Place of publication

    Prague

  • Event location

    Herl'any

  • Event date

    Feb 26, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000406005700041