Wearable Devices To Predict Anxiety Attacks (2)

Description

ABSTRACT

This work is using wearable device with mobile to predict anxiety attack. The study presents steps towards a mobile and wearable system intended to help people who experience regular and spontaneous anxiety attacks due to anxiety disorder. The  purpose of the system is to predict oncoming anxiety attacks and to deliver in-the-moment interventions on a smartphone device. Interventions are intended to reduce symptom severity by enabling a user to respond to approaching anxiety attack. An initial feasibility study is described where a small real-world data set was collected. Personalized prediction models were trained which take, as input, physiological data and output a binary classification of either pre- anxiety or non- anxiety. We demonstrate proof-of-concept of the occurrence prediction on this small dataset.

TABLE OF CONTENTS

COVER PAGE

TITLE PAGE

APPROVAL PAGE

DEDICATION

ACKNOWELDGEMENT

ABSTRACT

CHAPTER ONE

• INTRODUCTION
• BACKGROUND OF THE STUDY
• PROBLEM STATEMENT
• AIM AND OBJECTIVE OF THE STUDY
• SIGNIFICANCE OF THE STUDY
• APPLICATION OF THE STUDY
• SCOPE OF THE STUDY
• LIMITATION OF THE STUDY
• THESIS OVERVIEW

CHAPTER TWO

LITERATURE REVIEW

• OVERVIEW OF THE STUDY
• COMPONENTS OF THE SYSTEM
• RELATED WORK
• REVIEW OF WEARABLE
• IMPORTANT OF MOBILE APPLICATION

CHAPTER THREE

METHODOLOGY

• INTRODUCTION
• DATA COLLECTION
• DATASET SUMMARY
• DATA MEASUREMENTS
• DATA PROCESSING
• PHYSICAL ACTIVITY ANALYSIS
• SUPERVISED ANOMALY DETECTION

CHAPTER FOUR

4.0      RESULTS

• DISCUSSION
• LIMITATION

CHAPTER FIVE

• CONCLUSION AND FUTURE WORK
• REFERENCES

CHAPTER ONE

1.0                                             INTRODUCTION

1.1                               BACKGROUND OF THE STUDY

This work investigates one way that wearable technology and mobile device can be used to improve people’s mental health and wellbeing. In particular, we focus on individuals suffering from anxiety disorder who experience regular anxiety attacks. In the United States alone, six million adults each year experience recurrent, spontaneous anxiety attacks due to anxiety disorder [ Alicia E Meuret, 2001]. While the exact cause of anxiety disorder is not universally agreed upon, a number of studies have identified a relationship between abnormal respiration and anxiety attack onset (Alicia E Meuret, 2001) Anxiety attacks are also a component of other anxiety disorders, including Post Traumatic Stress Disorder and Generalized Anxiety Disorder, which further increases the number of sufferers. During a anxiety attack, a sufferer may experience shortness of breath, increased heart rate, dizziness, chest pain and sweating, as well as feelings of unreality and fear of dying. Previous research [  Alicia E Meuret, 2001] has shown that changes in physiology begin to take place up to one hour before the onset of a anxiety attack and sufferers are not aware that these changes are taking place until they experience the “spontaneous” symptoms of a anxiety attack. Many of these changes are physiological in nature, and hence detectable through wearable physiological measurements, such as heart rate, respiration rate, perspiration and skin temperature. In this study, we describe first steps towards a system that combines a personal wearable device with a smartphone application for reacting to approaching anxiety attacks.

The system provides a way to continuously monitor the physiological data of an individual via a wearable device. Users are able to report when anxiety attacks take place, along with a rating of the severity of symptoms experienced. Reported episodes provide ground truth data to build panic prediction models. The eventual goal of the system is to make predictions about approaching anxiety attacks and to deliver interventions that help the individual to cope with the  approaching attack. We describe a mobile-based intervention that has been developed, which instructs the individual to perform breathing and relaxation exercises. Presently, the system has been utilized in a small pilot study where 10 individuals who suffer from anxiety attack reported 29 anxiety attacks while collecting physiological data, along with the severity of symptoms. We found that out of 15 symptoms the ones with high severity reported were panic, worry and shortness of breath. Furthermore, physiological differences were observed between anxiety and non- anxiety intervals.

1.2                                      PROBLEM STATEMENT

Anxiety can occur when a person fears that something bad is going to happen. Anxiety interferes with daily activities, and is difficult to control, is out of proportion to the actual danger and can last a long time. One may avoid places or situations to prevent these feelings. Anxiety attacks are rampant sickness worldwide. According to National Institute of Mental Health (2015), in the United States alone, six million adults each year experience recurrent, spontaneous anxiety attacks due to anxiety disorder. Anxiety attacks is known as one of the major contributor of heart attack and mental disorder when is not properly managed.

In other to solve this problem to some extent, there is need to predict when anxiety attack want to happen in a patient. This study was carried out to solve this problem thereby introducing a method of predicting anxiety attack by using wearable devices and smartphone.

1.3                         AIM AND OBJECTIVE OF THE STUDY

The main aim of this work is to study a system that uses a personal wearable device with a smartphone application for predicting to approaching anxiety attacks. The objectives of the study are:

1. To ensure that the user is free from anxiety attack
2. To predict anxiety attack using wearable devices and smartphone

• To support a healthy lifestyle and monitor fitness or activity levels

1.4                                SIGNIFICANCE OF THE STUDY

This study has become an eye opener to me in that it has exposed me to the potential utility to diagnose and prompt treatment for anxiety attack. It has also exposed me to devices to be used to support a healthy lifestyle and monitor fitness or activity levels of the user.

1.5                                  LIMITATION OF THE STUDY

Healthcare providers play a critical role in helping patients navigate their health and must adapt to these technologies. However, this role is dependent on some degree of understanding about the validity of these medical devices and their associated value and limitations. For example, for anxiety monitoring, patients often assume that the monitoring is continuous, as it appears this way in the displayed graphs or figures on their smartphone. Nonetheless, current direct-to-consumer anxiety monitors are not continuous and are for the surveillance or “spot checking” of arrhythmias and, at this time, do not replace the continuous monitors that are prescribed by a healthcare provider. Those devices that require patient activation will remain limited due to their under-detection of subclinical or minimally symptomatic arrhythmias. Additionally, the amount and quality of data recorded and stored with direct-to-consumer cardiac devices depend on the battery capacity, storage capabilities, size of the device and cost of the device.

As these devices are increasingly being offered and utilized, it has been difficult for healthcare providers to manage the data and recommend.

1.6                                       SCOPE OF THE STUDY

This study discusses the use of wearable devices to predict anxiety attack. This study displays the output information via a smartphone thereby providing a wireless means of monitoring the anxiety status of a patient. The use of these wireless-capable wearable devices enables remote physician monitoring and immediate action in the event of a serious anxiety attack.

1.7                                APPLICATION OF THE STUDY

Using wearable devices used to predict anxiety attack is used by doctors or medical personnel to wirelessly monitor the anxiety status of their patients from a distance.

1.8                                                              THESIS OVERVIEW

This wearable device to predict anxiety attacks final thesis is arranged into following chapter:

Chapter 1: Basically is an introduction of the project. In this chapter, provides the background of the project, objectives, scope of the project, problem statement, and also the thesis outline.

Chapter 2: Focuses on literature reviews of this project based on journals and other references.

Chapter 3: Mainly focused on methodologies for the wearable device to predict anxiety attacks. Details on the progress of the project are explained in this chapter.

Chapter 4: Presents the results obtained. All discussions are concentrating on the result and performance of wearable device to predict anxiety attacks.

Chapter 5: Concludes overall about the project and recommendation are also discussed in this chapter.