Analysis of heart murmur and its classification using Image-Based Heart Sound Signal with Augmented Reality
Main Article Content
Abstract
In this paper, a heart sound signal is obtained from a stethoscope and converted into a wave pattern using a phonocardiograph (PCG). Various cardiac sound signal wave patterns obtained from PCG may have normal and abnormal sound signals. Abnormal sound signals are called heart murmurs. These sound signal wave patterns are to be made available in the form of a JPEG image which is in detecting heart abnormalities. Augmented Reality (AR) is a new technology in which computer-generated material such as graphics, text, audio, and objects are superimposed over a display screen to increase one's view of the real-time world. The proposed framework is a mobile-based Android application that would work for all current and future versions of the operating system. In a marker-based augmented reality device, this approach allows the user to see the simulated object in the physical world. Image of the entity that is registered wave patterns of PCG signal could be provided by the consumer. The device is designed to detect the captured JPEG image pattern of the cardiac murmur signal and identify it using the hamming distance technique in this study. A new image pattern is formed as a result of the combination of the real world and generated objects, and it appears as if the real-world object and virtual object coexist within the environment. This is accomplished by the use of an Android-based handset. It is convenient and affordable since the consumer does not need to invest in costly and costly equipment such as an ECG machine, a treadmill, or an echo machine, among other options.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
