Difference between revisions of "Projects:2015s1-36 Heartbeat Perception App"
(→Project Purpose) |
|||
Line 11: | Line 11: | ||
== Project Purpose == | == Project Purpose == | ||
− | The purpose of the project is to develop an Android app | + | The purpose of the project is to develop an Android OS based Heartbeat Perception app with capability of assessing subjects with heartbeat perception task and clinical mental questionnaires as well as providing assessment performance of the subjects to medical authorities to allow them to diagnose the subjects with potential mental symptoms (anxiety, depression, panic attack and etc.). The heart rate monitor shall be used to detect subjects’ heart rate and send this information to Android devices to allow the subjects to conduct the assessment on the devices. |
− | |||
− | |||
− | |||
− | |||
− | |||
== Project Information == | == Project Information == |
Revision as of 20:23, 22 October 2015
Contents
Supervisors
- Prof. Mathias Baumert - Dr. Damith Ranasinghe
Students
- Hong Wei TEO - Siok Teng LOKE
Project Purpose
The purpose of the project is to develop an Android OS based Heartbeat Perception app with capability of assessing subjects with heartbeat perception task and clinical mental questionnaires as well as providing assessment performance of the subjects to medical authorities to allow them to diagnose the subjects with potential mental symptoms (anxiety, depression, panic attack and etc.). The heart rate monitor shall be used to detect subjects’ heart rate and send this information to Android devices to allow the subjects to conduct the assessment on the devices.
Project Information
The following project allows identification and understanding of the relationship between human's heart and brain when an individual is undergoing a certain emotional states. This is because individual differences in intensity of emotional experience reflect variation in sensitivity to internal bodily responses. The internal body organ that responses during emotional states are human's heart and brain. There are information signals transmitting from heart to brain’s part called right anterior insular when an individual is undergoing emotional experience (angry, sad, depressed and others). The heartbeat perception app allows user to identify mental symptoms of an individual through clinical mental questionnaire and heartbeat detection task. These two methods provide faster and easier method to identify negative mental symptoms (eating disorder, panic disorder, anxiety, depressions and others) rather than using blood testing and medication testing to identify individual's negative mental symptoms. The following project will benefit the medical community because a faster and easier method is provided for medical doctors to identify individual's early stage of negative mental symptoms in short amount of time. This method can prevent the possibilities of negative mental symptoms of the individual for getting worsens if the symptoms is not traced as soon as possible. Besides that, a better mental symptoms test is needed for now rather than relying on medical pills testing. This is because medical pills testing not only does provide a slower way to identify the symptoms, but also may lead to individual's symptoms worsen or harmed to individual's body if wrong medical pills is given by medical doctors.
Project Deliverables
The project's final deliverables shall have a complete simple Android software interface that will be working on Android OS mobile device. The apps shall be able to require user to input their personal information (name, gender, height, weight and etc.) and store on the app’s database. Then, the app shall allow user to assess heart rate tracking task to retrieve their heart rate result. Clinical mental questionnaires will be given to assess the user after the heartbeat interoception task. Lastly, mental symptoms result will be given to authorized administrator (doctor) only to show if the user has potential negative mental symptoms. Both heartbeat interoception task and clinical questionnaires data results will be shown alongside with mental symptoms result. On the heartbeat detection side, the project's final deliverables shall allow the mobile device to communicate with heart rate monitor device wirelessly in order to allow the operation of heartbeat interoception tasks.
Project Components
- Nexus 7 Android OS Tablet - Zephyr HxM BT Heart rate Monitor - Android Studio for Android OS Development
Project Related Works
There are several researches have conducted researches regarding heartbeat perception awareness and human's emotion. First of all, researcher Hugo D. Critchley and his research team stated that negative mental symptoms can be identified through accuracy of heartbeat interoceptive awareness and activity on right anterior insular by assessing an individual on heartbeat perception task and clinical mental questionnaires. In the following research article, researchers have conducted both heartbeat perception tasks method on human that is heartbeat tracking task, individual is asked to count their own heartbeat in a quiet room and heartbeat discrimination task, individual is asked to distinguish their own heartbeat by listening to their own heartbeat. At the same time, the brain activity is measured by fMRI during the pereption task. Then, individual is assessed with clinical mental questionnaires and then, blood pressure of the individual is measured. By referring to these tasks result, researchers founded that negative mental emotion is correlated with both brain activity and heartbeat perception task accuracy and thus, higher interoceptive awareness individual is more vulnerable to negative mental symptoms.
Next, research articles by researcher Rainer Schandry stated that heartbeat interoceptive
awareness is correlated to negative mental emotion. In the article, similar methods to Hugo
D. Critchley's research article methods are conducted which is heartbeat perception task and
clinical mental questionnaires are taken without brain activity measurement. The results
showed that negative mental symptoms could be identified through clinical mental
questionnaires and heartbeat perception task.
A clinical mental questionnaire is commonly used in clinics and hospitals to identify patients’
potential mental symptoms before distributing medicines to patients. The advantage of the
mental questionnaires is that it provides a faster method in diagnosing potential mental
symptoms and it is safer than medicine pills testing method. The drawback of mental
questionnaire is one set of questionnaire is able to identify single mental questionnaires only.
Thus, patient is required to assess multiple questionnaires to identify patient’s mental
symptoms. Besides that, the mental questionnaires could not provide accurate mental
symptoms if the patient did not assess the questionnaires seriously.
Heartbeat interoception task consists of both heartbeat tracking task and heartbeat
discrimination task. According to the research article’s research results by Rainer Schandry,
heartbeat discrimintation task provides more accurate result than heartbeat tracking task.
However, both heartbeat interoception tasks are included in the project for better accuracy after
decision are made during a supervisor and group members meeting.
Thus, this project will integrate all of the task methods which are both heartbeat interoception
task and clinical mental questionnaires into the software Android app to assess the individual
to identify the possible mental symptoms on the individual. This project will provide easier
and faster method than the tasks stated in those research articles to identify individual's
negative mental symptoms.