Abstract

Respiratory rate (RR) is expressed as breath per minute (BrPM). RR can function as early detection of chronic heart disease (COPD) and congestive heart failure (CHF). Besides, it is physiologically stated that there is a connection between the heart system and the pulmonary system. From the facts described above, it can be concluded that RR monitoring is needed effectively and periodically. ECG signal is used to find out RR characteristics. This study designed an ECG instrument using HPF 0.05 Hz and LPF 100 Hz analog filter. The DWT method is proposed to obtain an estimate of the respiratory rate signal through the ECG signal. DWT decomposition uses level 8 with a sampling frequency of 250 Hz. Testing is done in three ways and is obtained by each error, including the subject is in the supine position (2.35 ± 1.75), upstairs (2.8 ± 2.18) and treadmill (3.65 ± 3.11). Real-time processing of DWT experiences a delay time of 3 seconds because the computation on DWT to the 8th level takes 3 seconds. Real-time DWT testing was a delay of 3 seconds from breathing signal readings.

Original languageEnglish
Title of host publicationProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages354-359
Number of pages6
ISBN (Electronic)9781728137490
DOIs
Publication statusPublished - Aug 2019
Event2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019 - Surabaya, Indonesia
Duration: 28 Aug 201929 Aug 2019

Publication series

NameProceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019

Conference

Conference2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1929/08/19

Keywords

  • Analog filter
  • DWT
  • ECG
  • Respiratory rate

Fingerprint

Dive into the research topics of 'Wavelet-Based Respiratory Rate Estimation Using Electrocardiogram'. Together they form a unique fingerprint.

Cite this