Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication
Anxiety and stress result in a disorder that can deteriorate a child’s integrative progress socially, emotionally and cognitively. If not measured, they can lead to undesirable prolonged effects of depressive disorders. Although anxiety and stress can be due to many different reasons but there is s...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2024-12-01
|
| Series: | JISR on Computing |
| Subjects: | |
| Online Access: | http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/210 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823858670252851200 |
|---|---|
| author | Ikram-e-Khuda Tahira Rafique Maria Amjad Syed Sheraz Ul Hasan Mohani |
| author_facet | Ikram-e-Khuda Tahira Rafique Maria Amjad Syed Sheraz Ul Hasan Mohani |
| author_sort | Ikram-e-Khuda |
| collection | DOAJ |
| description |
Anxiety and stress result in a disorder that can deteriorate a child’s integrative progress socially, emotionally and cognitively. If not measured, they can lead to undesirable prolonged effects of depressive disorders. Although anxiety and stress can be due to many different reasons but there is still a need of some experimental procedure for quantifying it. In this paper we have investigated such a feasibility to measure anxiety
using electromyography sensors. The subjects were children, male and female and were taken from the two different age groups between 4 and 6 years and between 8 and 10 years. The data was collected on 16 subjects using repeated measure design. It was then statistically analyzed to finally provide a generalized linear model for measuring anxiety. The procedure proposed in this research requires an EMG sensor to be placed on the subject’s frontalis muscles and the muscular movements are the quick responses to the stress stimulus. This is easy to implement and is also cost effective. Analysis showed significant difference in EMG activity between stresses and unstressed states. The obtained statistical model thus provided a true measure of anxiety with linear coefficients that are statistically significant at 95% confidence interval (CI).
|
| format | Article |
| id | doaj-art-d58e5e51f4c24809a9000930a97bc2c5 |
| institution | Kabale University |
| issn | 2412-0448 1998-4154 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Shaheed Zulfikar Ali Bhutto Institute of Science and Technology |
| record_format | Article |
| series | JISR on Computing |
| spelling | doaj-art-d58e5e51f4c24809a9000930a97bc2c52025-02-11T10:35:21ZengShaheed Zulfikar Ali Bhutto Institute of Science and TechnologyJISR on Computing2412-04481998-41542024-12-0122210.31645/JISRC.24.22.2.1Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal CommunicationIkram-e-Khuda0Tahira Rafique1Maria Amjad2Syed Sheraz Ul Hasan Mohani3Faculty of Engineering Sciences and Technology (FEST), Iqra University, Karachi, PakistanFaculty of Engineering Sciences and Technology (FEST), Iqra University, Karachi, PakistanFaculty of Engineering Sciences and Technology (FEST), Iqra University, Karachi, PakistanFaculty of Engineering Sciences and Technology (FEST), Iqra University, Karachi, Pakistan Anxiety and stress result in a disorder that can deteriorate a child’s integrative progress socially, emotionally and cognitively. If not measured, they can lead to undesirable prolonged effects of depressive disorders. Although anxiety and stress can be due to many different reasons but there is still a need of some experimental procedure for quantifying it. In this paper we have investigated such a feasibility to measure anxiety using electromyography sensors. The subjects were children, male and female and were taken from the two different age groups between 4 and 6 years and between 8 and 10 years. The data was collected on 16 subjects using repeated measure design. It was then statistically analyzed to finally provide a generalized linear model for measuring anxiety. The procedure proposed in this research requires an EMG sensor to be placed on the subject’s frontalis muscles and the muscular movements are the quick responses to the stress stimulus. This is easy to implement and is also cost effective. Analysis showed significant difference in EMG activity between stresses and unstressed states. The obtained statistical model thus provided a true measure of anxiety with linear coefficients that are statistically significant at 95% confidence interval (CI). http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/210AnxietyStressElectromyographySensor Personal CommunicationConfidence Interval |
| spellingShingle | Ikram-e-Khuda Tahira Rafique Maria Amjad Syed Sheraz Ul Hasan Mohani Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication JISR on Computing Anxiety Stress Electromyography Sensor Personal Communication Confidence Interval |
| title | Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication |
| title_full | Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication |
| title_fullStr | Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication |
| title_full_unstemmed | Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication |
| title_short | Investigating the Feasibility of Statistically Measuring Anxiety using Wireless Electromyography Sensor via Wireless Personal Communication |
| title_sort | investigating the feasibility of statistically measuring anxiety using wireless electromyography sensor via wireless personal communication |
| topic | Anxiety Stress Electromyography Sensor Personal Communication Confidence Interval |
| url | http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/210 |
| work_keys_str_mv | AT ikramekhuda investigatingthefeasibilityofstatisticallymeasuringanxietyusingwirelesselectromyographysensorviawirelesspersonalcommunication AT tahirarafique investigatingthefeasibilityofstatisticallymeasuringanxietyusingwirelesselectromyographysensorviawirelesspersonalcommunication AT mariaamjad investigatingthefeasibilityofstatisticallymeasuringanxietyusingwirelesselectromyographysensorviawirelesspersonalcommunication AT syedsherazulhasanmohani investigatingthefeasibilityofstatisticallymeasuringanxietyusingwirelesselectromyographysensorviawirelesspersonalcommunication |