Inertia measurement unit based sensing module for CPT training kit
Cardiac arrest has always been one of the major causes of deaths. Ventricular Tachycardia is one of the many factors which may lead to the occurrence of Sudden Cardiac Death to a person. Without immediate treatment, the brain will cease to function within 4-5 minutes. Statistics in Singapor...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/60278 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Cardiac arrest has always been one of the major causes of deaths. Ventricular Tachycardia is
one of the many factors which may lead to the occurrence of Sudden Cardiac Death to a person.
Without immediate treatment, the brain will cease to function within 4-5 minutes. Statistics in
Singapore have found that there is an increase from 26 per 100,000 population in 1998 to 34
in 2007. This indicates the importance of bystander CPR which plays an important role in the
chain of survival of the patient.
Skill retention of CPR trainees is a problem. Studies have found out that CPR performance
would decline rapidly to a certain level where it will remain constant. Many uncorrected
mistake and wrong technique made by the trainee would remain together with their CPR skills.
Additionally even professionals achieved only 70% average score in their basic life support
skill examinations.
To improve the chain of survival, several strategies are suggested to improve the quality of
CPR in the community. One method of effective learning CPR is for the manikins to provide
feedback to the user, however existing manikins with visual feedback are very expensive. The
aim of this project is to build an affordable CPR training kit using IMU’s to collect vital
information such as chest compression depth and rate and location of compression.
The IMU and sensors used for data collection are integrated using an Arduino microprocessor.
A GUI program is also created by using QTCreator and C++ to provide visual feedback to the
user.
Acceleration drifting problems encountered due to the double integration of the acceleration
are adjusted by using the Kalman Filter to correct the drifting errors. |
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