The feasibility study of photoplethysmography features for arteriovenous fistula stenosis detection in hemodialysis patients with statistical approach

Yi Chun Du, Alphin Stephanus

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

1 Citation (Scopus)

Abstract

Arterial stenosis is highly prevalent in a long-term hemodialysis treatment patient. In this paper, we propose a Rising slope (RS) and Falling slope (FS) which extracted from the right and left-hand photoplethysmography (PPG) signal before and after hemodialysis process. These features ware used to examine 11 patients which could be considered as a method to detect stenosis vessel that occurred after hemodialysis process. The experimental result with a mean + SD age of 77.5 + 12.3 utilizing t-test hypothesis indicated that the variance of RS from left-hand, before and after hemodialysis showed 0.0211 which is appropriate with p < 0.05 to prove these features statistically significant and can be used as one of proper feature for classification stage.

Original languageEnglish
Title of host publicationProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages457-460
Number of pages4
ISBN (Electronic)9781538643426
DOIs
Publication statusPublished - 2018 Jun 22
Event4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, Japan
Duration: 2018 Apr 132018 Apr 17

Publication series

NameProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

Other

Other4th IEEE International Conference on Applied System Innovation, ICASI 2018
Country/TerritoryJapan
CityChiba
Period18-04-1318-04-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation
  • Biomedical Engineering

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