Research Article

Optimization of Denoising Technique of Phonocardiography Signal By Using Discrete Wavelet Transform

• @INPROCEEDINGS{10.4108/eai.19-10-2018.2281369,
      author={Dyah Kurniawati Agustika and Sumarna Sumarna and Agus Purwanto and Juli Astono},
      title={Optimization of Denoising Technique of Phonocardiography Signal By Using Discrete Wavelet  Transform},
      proceedings={Proceedings of the 1st International Conference on Science and Technology for an Internet of Things,  20 October 2018, Yogyakarta, Indonesia},
      publisher={EAI},
      proceedings_a={ICSTI},
      year={2019},
      month={4},
      keywords={the purpose of this research is to design and build phonocardiography (pcg) system that can record the human heartbeat representatively and reliably which is a device that can record a lot of information contained in a heartbeat this research begins by designing and realizing devices that can record acoustic heartbeat signals the pcg signal is easy to affect by noise such as stethoscope movement the friction of stethoscope and chest etc therefore signal analysis process such as denoising is needed denoising can be performed by using a discrete wavelet transform (dwt) in this research the kind of wavelet that were used are coiflet1 symlet1 symlet2 daubechies3 and daubechies4 this wavelet type is compared with the original signal and the mean square error (mse) calculated from the analysis results the type of wavelet that gives the smallest mse is symlet2 indicating that wavelet most resembles the original signal compared with the other two wavelets the result of character extraction will be used in subsequent research to be input in a pattern recognition system},
      doi={10.4108/eai.19-10-2018.2281369}
  }
  

• Dyah Kurniawati Agustika
  Sumarna Sumarna
  Agus Purwanto
  Juli Astono
  Year: 2019
  Optimization of Denoising Technique of Phonocardiography Signal By Using Discrete Wavelet Transform
  ICSTI
  EAI
  DOI: 10.4108/eai.19-10-2018.2281369