Body position classification for cardiorespiratory measurement

Marcel Młyńczak , Martin Berka , Wiktor Niewiadomski , Gerard Cybulski


Heart activity, or at least heart rate variability, is associated with body position. Our previous studies have confirmed that impedance pneumography may be used to record respiratory function, but the calibration coefficients for this method depend on position. Data were collected from 24 students (12 male, 12 female), who alternated positions between lying (on front, back, and right side), sitting and standing. Signals from an attached iPhone’s internal sensors (accelerometer, gyroscope, magnetometer) were recorded and attitude relative to gravity was calculated. The signals were subsequently segmented and marked. Five algorithms were trained and cross-validated for different sensor combinations. Without differentiation of sitting and standing, 100% accuracy was achieved using all algorithms. The classifier best differentiating these two states was based on random forests, with overall accuracy of 90%. Simple methods based on a proposed hybrid classifier were tested for online measurement without the need for signal segmentation, with 99% accuracy. The prospect of the algorithms’ use in long-term studies (particularly cardiorespiratory monitoring) was assessed.
Author Marcel Młyńczak (FM / IMBE)
Marcel Młyńczak,,
- The Institute of Metrology and Biomedical Engineering
, Martin Berka - University of Calgary [University of Calgary]
Martin Berka,,
, Wiktor Niewiadomski - Mossakowski Medical Research Centre, Polish Academy of Sciences, Warsaw, Poland [Miroslaw Mossakowski Medical Research Center of the Polish Academy of Sciences]
Wiktor Niewiadomski,,
, Gerard Cybulski (FM / IMBE) - Mossakowski Medical Research Centre, Polish Academy of Sciences, Warsaw, Poland
Gerard Cybulski,,
- The Institute of Metrology and Biomedical Engineering
Pages3515 - 3518
Publication size in sheets0.5
Book Engineering in Medicine and Biology Society, 2016, IEEE, ISBN 978-1-4577-0220-4
Languageen angielski
embc2016.pdf 1.06 MB
Score (nominal)0
ScoreMinisterial score = 0.0, 02-06-2020, MonographChapterAuthor
Publication indicators Scopus Citations = 2; WoS Citations = 1; GS Citations = 2.0
Citation count*2 (2020-09-11)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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