Monitoring Bipolar Disorder using Heart Rate, Sleep, and Mood Changes

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Monitoring Bipolar Disorder using Heart Rate, Sleep, and Mood Changes

Published Date

2017-08

Publisher

Type

Thesis or Dissertation

Abstract

According to World Health Organization, unipolar depressive disorders were ranked as the third leading cause of global burden in 2004 and predicted to move into the first place by 2030. Bipolar Disorder affects approximately 5.7 million adult Americans every year (NIHM). Bipolar Disorder (BD) is recognized as a chronic mental illness, which requires consistent monitoring. Due to the unpredictability of this disease, any attempts to manage BD are limited to constant tracking of the patients’ vitals, monitoring and auditing the behavior and the triggers in the environment. This thesis develops an algorithm as a solution for predicting the onset of a bipolar episode with the use of mobile technology. Several factors can lead to increase in stress levels, which is a major cause for the onset of a bipolar episode. Variables such as sleep, mood and heart rate have been reported to have a direct impact on stress levels. The prediction algorithm has been designed and developed for the iOS mobile platform in which various variables responsible for the onset of a bipolar episode are taken into account. Wearable sensor has been used to capture the heart rate information. Mood and sleep data is being obtained via a self-reporting mechanism where the application prompts the user to provide the input. This data is then used to identify a bipolar episode and generate alerts depending upon the prediction algorithm.

Keywords

Description

University of Minnesota M.S. thesis. August 2017. Major: Computer Science. Advisor: Arshia Khan. 1 computer file (PDF); viii, 59 pages.

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Bahra, Rushmeet. (2017). Monitoring Bipolar Disorder using Heart Rate, Sleep, and Mood Changes. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/191200.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.