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Development of physiological mouse for anxiety disorder identification system

Anxiety disorder has been known as one of mental disorder characterized by significant and uncontrollable feelings of anxiety and fear. Anxiety may cause physical and cognitive symptoms such as restlessness, irritability, easy fatigability, difficulty concentrating, increased heart rate, chest pai...

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Main Authors: Mohd Noh, Faridah Hanim, Wan Kamri, Wan Mohd Amin Khalili, Zakaria, Ahmad Hawari, Gimin, Nor Arina, Iqbal, Safa'at, Yaakub, Muhamad Faizal, Mohd Shah, Nor Shahida, Mashori, Sumaiya
Format: Conference or Workshop Item
Language:English
Published: 2023
Online Access:http://eprints.utem.edu.my/id/eprint/28086/1/Development%20of%20physiological%20mouse%20for%20anxiety%20disorder%20identification%20system.pdf
http://eprints.utem.edu.my/id/eprint/28086/
https://pubs.aip.org/aip/acp/article-abstract/2955/1/020019/2930458/Development-of-physiological-mouse-for-anxiety?redirectedFrom=fulltext
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spelling my.utem.eprints.280862024-10-17T16:18:22Z http://eprints.utem.edu.my/id/eprint/28086/ Development of physiological mouse for anxiety disorder identification system Mohd Noh, Faridah Hanim Wan Kamri, Wan Mohd Amin Khalili Zakaria, Ahmad Hawari Gimin, Nor Arina Iqbal, Safa'at Yaakub, Muhamad Faizal Mohd Shah, Nor Shahida Mashori, Sumaiya Anxiety disorder has been known as one of mental disorder characterized by significant and uncontrollable feelings of anxiety and fear. Anxiety may cause physical and cognitive symptoms such as restlessness, irritability, easy fatigability, difficulty concentrating, increased heart rate, chest pain, abdominal pain, and many others. Motivated by current research that accompanies anxiety and stress with physical reactions such as increased heart rate, blood flow, dilation of the pupil and skin conductance, this work builds on the premise that real-time measurement of such reactions could indirectly recognize older adult anxiety while interacting with the system. For this research, an in-house computer mouse with embedded sensors circuit was constructed and simulated via Proteus environment to test the heart rate and skin conductance of the users. In this project a rules-based algorithm for distinguishing the anxiety disorder events have been developed. The detection is being processed based on the measured physiological data that being quantified via the embedded sensors in the mouse circuits. The result shows that the developed system able to detect mental health state of the user at accuracy of 0.87, which defines a good performance of the proposed system. 2023 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/28086/1/Development%20of%20physiological%20mouse%20for%20anxiety%20disorder%20identification%20system.pdf Mohd Noh, Faridah Hanim and Wan Kamri, Wan Mohd Amin Khalili and Zakaria, Ahmad Hawari and Gimin, Nor Arina and Iqbal, Safa'at and Yaakub, Muhamad Faizal and Mohd Shah, Nor Shahida and Mashori, Sumaiya (2023) Development of physiological mouse for anxiety disorder identification system. In: 12th International Conference on Mechanical and Manufacturing Engineering 2022 , ICME 2022, 9 August 2022 through 10 August 2022, Virtual, Online. https://pubs.aip.org/aip/acp/article-abstract/2955/1/020019/2930458/Development-of-physiological-mouse-for-anxiety?redirectedFrom=fulltext
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Anxiety disorder has been known as one of mental disorder characterized by significant and uncontrollable feelings of anxiety and fear. Anxiety may cause physical and cognitive symptoms such as restlessness, irritability, easy fatigability, difficulty concentrating, increased heart rate, chest pain, abdominal pain, and many others. Motivated by current research that accompanies anxiety and stress with physical reactions such as increased heart rate, blood flow, dilation of the pupil and skin conductance, this work builds on the premise that real-time measurement of such reactions could indirectly recognize older adult anxiety while interacting with the system. For this research, an in-house computer mouse with embedded sensors circuit was constructed and simulated via Proteus environment to test the heart rate and skin conductance of the users. In this project a rules-based algorithm for distinguishing the anxiety disorder events have been developed. The detection is being processed based on the measured physiological data that being quantified via the embedded sensors in the mouse circuits. The result shows that the developed system able to detect mental health state of the user at accuracy of 0.87, which defines a good performance of the proposed system.
format Conference or Workshop Item
author Mohd Noh, Faridah Hanim
Wan Kamri, Wan Mohd Amin Khalili
Zakaria, Ahmad Hawari
Gimin, Nor Arina
Iqbal, Safa'at
Yaakub, Muhamad Faizal
Mohd Shah, Nor Shahida
Mashori, Sumaiya
spellingShingle Mohd Noh, Faridah Hanim
Wan Kamri, Wan Mohd Amin Khalili
Zakaria, Ahmad Hawari
Gimin, Nor Arina
Iqbal, Safa'at
Yaakub, Muhamad Faizal
Mohd Shah, Nor Shahida
Mashori, Sumaiya
Development of physiological mouse for anxiety disorder identification system
author_facet Mohd Noh, Faridah Hanim
Wan Kamri, Wan Mohd Amin Khalili
Zakaria, Ahmad Hawari
Gimin, Nor Arina
Iqbal, Safa'at
Yaakub, Muhamad Faizal
Mohd Shah, Nor Shahida
Mashori, Sumaiya
author_sort Mohd Noh, Faridah Hanim
title Development of physiological mouse for anxiety disorder identification system
title_short Development of physiological mouse for anxiety disorder identification system
title_full Development of physiological mouse for anxiety disorder identification system
title_fullStr Development of physiological mouse for anxiety disorder identification system
title_full_unstemmed Development of physiological mouse for anxiety disorder identification system
title_sort development of physiological mouse for anxiety disorder identification system
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/28086/1/Development%20of%20physiological%20mouse%20for%20anxiety%20disorder%20identification%20system.pdf
http://eprints.utem.edu.my/id/eprint/28086/
https://pubs.aip.org/aip/acp/article-abstract/2955/1/020019/2930458/Development-of-physiological-mouse-for-anxiety?redirectedFrom=fulltext
_version_ 1814061459498336256
score 13.211869

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