Use of an Intelligent Voice Recognition Device to Monitor and Mitigate Children With Anxiety- Induced Asthma Attacks

Abstract

In this research, the use of Alexa for monitoring patients with asthma anxiety attacks was evaluated. Twenty-seven dates in the current year were randomly selected and the duration of anxiety attacks in seconds was recorded, as well as their severity on a Likert scale ranging from 1.00 to 7.00. The results showed that the duration of anxiety attacks ranged from 47 to 287 seconds, with a mean of 163.7 seconds. In addition, a positive correlation was found between the duration of anxiety attacks and severity according to the Likert scale. These findings suggest that Alexa monitoring could be a useful option for the evaluation and treatment of patients with asthma anxiety attacks. Based on these findings and suggestions, the authors propose the integration of a mechatronic system that uses the conjunction of mechanical, computer, electronic, and electrical systems to monitor the possible most recurrent symptoms of anxiety-induced asthma, in addition to the analysis of ergonomic factors that contemplate the satisfaction of the people to whom the proposal is addressed. This monitoring is aimed at reducing the frequency of attacks and improving the quality of life. However, future studies with larger and more diversified samples are needed to confirm these results and evaluate the effectiveness of the intervention in improving patients’ quality of life. Different reactive levels are proposed to identify a real time solution of a possible massive anxiety attack for children between eight and 12 years old.