Design of respiratory rate measurement based on ultrasound proximity sensor

Ismoyo Danurwindo, Basari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The respiratory rate is one of the five vital signs in human body. The measurement that is most often done is by counting the amount of breath a person does in one minute. This method is considered to be subjective in which each outcome measurement will depend on the counter. Other methods that can be used are by using contact methods, such as strain gauges or impedance methods, transcutaneous CO2methods, probe oximetry (SpO2) methods, and ECG derived respiration rate methods. However, the use of contact methods can cause several problems, such as skin irritation, and surface loading effect. Therefore, in this paper a respiratory rate measurement based on ultrasound proximity sensor is proposed. Measurements are made by calculating the distance change between the front of thoracoabdominal area and the sensor. The results are then processed by peak detection using the Gaussian filter and discrete wavelet transform (DWT). According to the data processing results, the measurement gets the smallest deviation for each error about 3.79 with discrete wavelet transform (DWT) and fast fourier transform (FFT) calculation approach.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728108346
DOIs
Publication statusPublished - Nov 2019
Event2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019 - Depok, Indonesia
Duration: 12 Nov 201914 Nov 2019

Publication series

NameIEEE Region 10 Humanitarian Technology Conference, R10-HTC
Volume2019-November
ISSN (Print)2572-7621

Conference

Conference2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
Country/TerritoryIndonesia
CityDepok
Period12/11/1914/11/19

Keywords

  • Arduino
  • Fast fourier transform
  • Peak detection
  • Respiratory rate measurement
  • Ultrasound proximity sensor

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