Unconstrained Monitoring of Pulse Pressure Waves from the Surface of the Subject's Back

Akihisa Mito, Harutoyo Hirano, Naoki Hagiyama, Zu Soh, Etsunori Fujita, Yumi Ogura, Ryuji Nakamura, Noboru Saeki, Masashi Kawamoto, Masao Yoshizumi, Toshio Tsuji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a novel technique to estimate continuous pulse pressure waves based on aortic pulse waves (APWs) that are measured in an unconstrained manner at the back of a user via an APW sensor. Frequency filtering and rectification are applied to the APWs as a preprocessing step. These preprocessed waves are then converted into continuous pulse pressure waves using a black box model that includes the physical factors of the patient. The black box model is constructed beforehand using the preprocessed APWs and continuous arterial pressure waves measured from other users. The converted pulse pressure waves were then compared with continuous arterial pressure waves measured using a commercial sphygmomanometer to evaluate the accuracy of the proposed method. As a result, the correlation coefficient between the converted waves from the proposed method and the waves measured using the sphygmomanometer was 0.83 or higher and the mean absolute error was 6.07 ± 5.89 mmHg. It was therefore concluded that the proposed method may enable unconstrained measurement of continuous pulse pressure waves.

Original languageEnglish
Title of host publication2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages39-44
Number of pages6
ISBN (Electronic)9784907764678
DOIs
Publication statusPublished - 09-2019
Externally publishedYes
Event58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019 - Hiroshima, Japan
Duration: 10-09-201913-09-2019

Publication series

Name2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019

Conference

Conference58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019
Country/TerritoryJapan
CityHiroshima
Period10-09-1913-09-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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