Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adaptive Thresholding with Inverted Triangular Area for Real-Time Detection of the Heart Rate from Photoplethysmogram Traces on a Smartphone
University of Borås, Swedish School of Library and Information Science.
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Photoplethysmogram (PPG) signals acquired by smartphone cameras are weaker than those acquired by dedicated pulse oximeters. Furthermore, the signals have lower sampling rates, have notches in the waveform and are more severely affected by baseline drift, leading to specific morphological characteristics. This paper introduces a new feature, the inverted triangular area, to address these specific characteristics. The new feature enables real-time adaptive waveform detection using an algorithm of linear time complexity. It can also recognize notches in the waveform and it is inherently robust to baseline drift. An implementation of the algorithm on Android is available for free download. We collected data from 24 volunteers and compared our algorithm in peak detection with two competing algorithms designed for PPG signals, Incremental-Merge Segmentation (IMS) and Adaptive Thresholding (ADT). A sensitivity of 98.0 % and a positive predictive value of 98.8 % were obtained, which were 7.7 % higher than the IMS algorithm in sensitivity, and 8.3 % higher than the ADT algorithm in positive predictive value. The experimental results confirmed the applicability of the proposed method.

Place, publisher, year, edition, pages
IEEE , 2014.
Keyword [en]
PPG, heart rate, real-time, thresholding, biomedical engineering
National Category
Signal Processing
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-7211Local ID: 2320/14032OAI: oai:DiVA.org:hb-7211DiVA: diva2:887920
Conference
36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 26-30 August, 2014.
Available from: 2015-12-22 Created: 2015-12-22

Open Access in DiVA

fulltext(356 kB)306 downloads
File information
File name FULLTEXT01.pdfFile size 356 kBChecksum SHA-512
9ac48c8ee46d53411f861729de6af02fc45941a8d719b4f277e299bd845df2e24a6390fa144f384a43a4874b9ee7248c4d09bfa4129ce9d3759a9906e39a40b1
Type fulltextMimetype application/pdf

Authority records BETA

Wittek, Peter

Search in DiVA

By author/editor
Wittek, Peter
By organisation
Swedish School of Library and Information Science
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 306 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 233 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf