Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models

Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models

<p class="0abstract">Anxiety is a cognitive, behavioural, and biological response that prepares the individual to handle the stresses and conflicts of everyday life. The excessive appearance of this biological response is diagnosed as an anxiety disorder, which is often associated wi...

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Bibliographic Details
Main Authors: Abhilash Saj George, Arjun Vijayanatha Kurup, Parthasarathy Balachandran, Manjusha Nair, Siby Gopinath, Anand Kumar, Harilal Parasuram
Format: Article
Language:English
Published: International Association of Online Engineering (IAOE) 2021-07-01
Series:International Journal of Online and Biomedical Engineering
Subjects:
keywords— autonomic dysfunctions, anxiety disorder, heart rate variability, respiratory rate variability, support vector, machine learning
Online Access:https://online-journals.org/index.php/i-joe/article/view/22581

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