Abstract
Anxiety is a health condition that affects millions of people in their daily lives. It can occur at any age, from childhood or even in older adults. In the current era, people live surrounded by constant stress that can cause a series of diseases, and other affectations more associated with the pandemic situation in which the planet finds itself, it is more than ever important to support people who suffer of anxiety and avoid possible accidents that their behavior due to this condition may cause. In the following work, a proposal is presented for an information analysis project obtained through bracelets that generate biometric data readings to use an algorithm that can predict if a person suffers from symptoms related to this type of disease.
Translated title of the contribution | Proposal for information analysis of biometric data obtained through wearables for the detection of anxiety and other diseases |
---|---|
Original language | Spanish |
Title of host publication | Avances de Investigación en Ingeniería en el Estado de Sonora |
Editors | Ramón R. Palacio-Cinco |
Place of Publication | México |
Publisher | Tecnológico Nacional de México |
Pages | 118-121 |
Number of pages | 4 |
Volume | 7 |
Edition | 1 |
State | Published - 31 Oct 2021 |
Keywords
- Prediction algorithms
- Anxiety
- Depression
- Biometric signals
- Biometric smartband
- IoT