ICT-based bracelet for early detection of depression
Mengesha, Tewodros (2016-05-19)
T. Mengesha
19.05.2016
© 2016 Tewodros Mengesha. Tämä Kohde on tekijänoikeuden ja/tai lähioikeuksien suojaama. Voit käyttää Kohdetta käyttöösi sovellettavan tekijänoikeutta ja lähioikeuksia koskevan lainsäädännön sallimilla tavoilla. Muunlaista käyttöä varten tarvitset oikeudenhaltijoiden luvan.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-201605221847
https://urn.fi/URN:NBN:fi:oulu-201605221847
Tiivistelmä
Information communication technology (ICT) has opened a door for different sectors to benefit from ICT by using its potential tools. Health industry is one sector benefiting from ICT solutions for improving service quality and productivity. By using ICT as a tool, this study raised one of the major social and health concern, depression also known as depressive disorder. The aim of this study was to find the potential ICT based solution for an early detection and monitoring of depression.
Individuals go through different phases of life for instance psychological trauma, sadness, sorrow, grief, unemployment and so on. The different life aspects lead individuals to depression and majority of us are not all fully aware of it. Time to time everyone feels down and gets the blues in reaction to frustration or a disturbing event which lasts a day or two. On the other hand, can last a lifetime and the illness is much more disabling. Blues has never been a cause for suicide but depression is.
The society we live in and the social norms we follow can have an impact to some sort of depression. It is not intentional but unnoticed small acts in our daily life routine can contribute to depression too. To treat depression many practice therapy and/or medical treatments. Depending on the stage of depression some get cured, some still suffer, and some commit suicide. In addition to that, depression is risk factor for coronary artery disease, cardiovascular disease and stroke. It has been proved and witnessed that depressed individuals respond better to treatment at early stage of depression.
By applying design science research (DSR) methodology as an approach, the ultimate goal of this study was to find optimal ICT based solution that can be used to monitor depression at early stage. Literature review was used to gather earlier knowledge on wearable technology and depression itself. While conducting the research, senior citizens are on focus as they are more prone to depression than younger generations.
Criteria-based self-assessment questionnaire and interview are the methods used by physicians to diagnose depression and its stage. This trend is susceptible to misinterpretation and inaccuracy as the diagnosis often depends on patient’s subjective understanding of depression. Based on earlier knowledge, depression types and symptoms are listed on this study. From the major symptoms of depression; loss of interest in activity, stress and insomnia can be monitored using wrist worn device. As an artefact this thesis sets requirements for wearable device that can monitor heart rate, individual’s activity and sleep patterns. The collected data from the wearable device are physical and physiological data set, which can further be used as an additional input by physicians to determine the existence of depression and its current stage. This data input also helps in reducing the risk of misinterpreting diagnosis.
Individuals go through different phases of life for instance psychological trauma, sadness, sorrow, grief, unemployment and so on. The different life aspects lead individuals to depression and majority of us are not all fully aware of it. Time to time everyone feels down and gets the blues in reaction to frustration or a disturbing event which lasts a day or two. On the other hand, can last a lifetime and the illness is much more disabling. Blues has never been a cause for suicide but depression is.
The society we live in and the social norms we follow can have an impact to some sort of depression. It is not intentional but unnoticed small acts in our daily life routine can contribute to depression too. To treat depression many practice therapy and/or medical treatments. Depending on the stage of depression some get cured, some still suffer, and some commit suicide. In addition to that, depression is risk factor for coronary artery disease, cardiovascular disease and stroke. It has been proved and witnessed that depressed individuals respond better to treatment at early stage of depression.
By applying design science research (DSR) methodology as an approach, the ultimate goal of this study was to find optimal ICT based solution that can be used to monitor depression at early stage. Literature review was used to gather earlier knowledge on wearable technology and depression itself. While conducting the research, senior citizens are on focus as they are more prone to depression than younger generations.
Criteria-based self-assessment questionnaire and interview are the methods used by physicians to diagnose depression and its stage. This trend is susceptible to misinterpretation and inaccuracy as the diagnosis often depends on patient’s subjective understanding of depression. Based on earlier knowledge, depression types and symptoms are listed on this study. From the major symptoms of depression; loss of interest in activity, stress and insomnia can be monitored using wrist worn device. As an artefact this thesis sets requirements for wearable device that can monitor heart rate, individual’s activity and sleep patterns. The collected data from the wearable device are physical and physiological data set, which can further be used as an additional input by physicians to determine the existence of depression and its current stage. This data input also helps in reducing the risk of misinterpreting diagnosis.
Kokoelmat
- Avoin saatavuus [26782]