Digital-Twin-Assisted Academic Environment Monitoring for Anxiety Disorder | IEEE Journals & Magazine | IEEE Xplore

Digital-Twin-Assisted Academic Environment Monitoring for Anxiety Disorder


Abstract:

Digital twins (DT), specialized simulated modeling that has been popularized in the industrial domain, are starting to be implemented in the domain of healthcare with sig...Show More

Abstract:

Digital twins (DT), specialized simulated modeling that has been popularized in the industrial domain, are starting to be implemented in the domain of healthcare with significant success. Individualized Internet of Things (IoT) models also have various applications in healthcare, from developing medicine to optimizing treatment. These advancements have the potential to integrate and analyze data from different sources. A Digital Twin-inspired IoT-assisted framework is introduced to analyze irregular physical, visual, and behavioral events of individuals with anxiety disorders in academic environments. The framework utilizes quantum probability techniques to determine irregularities and performs temporal data mining (TDM) to frame requested data granules. These granules are then forwarded to the proposed multilevel bi-gated recurrent unit (ML-Bi-GRU) for health severity index (HSI) determination. A smart warning deliverance approach is also proposed to notify caregivers of assistive care. The proposed solution’s health irregularity and severity determination is evaluated on a real-time data set with a total of 35730 instances. The methodology’s efficacy in the domain of smart healthcare is defined through a case study.
Published in: IEEE Internet of Things Journal ( Volume: 11, Issue: 8, 15 April 2024)
Page(s): 13563 - 13570
Date of Publication: 30 November 2023

ISSN Information:


I. Introduction

Anxiety disorder (AD) is a severe panic condition characterized by frequent, unpredictable, prolonged, and severe panic attacks driven by anxiety [1]. According to an American Psychological Association survey, 1 in 75 students suffers from AD.1 Medical research shows that genetic and hormonal factors contribute to the syndromes and pathophysiology of AD. The DSM-5 defines AD as having six possible symptoms that have a significant negative impact on a patient’s health. Research shows that stressed-out adolescents exhibit somatic abnormalities, and early stages of AD symptoms are easy to determine in students under the age of 25 [5]. There is also an estimated 34% increase in stress among students pursuing higher education.2 The importance of health education for young people was also emphasized by the CEO of the American Psychological Association.

Source: https://www.apa.org/topics/anxiety/panic-disorder.

Source: https://www.apa.org/news press/releases/stress/2016/coping-with-change.pdf.

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References

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