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Effect of deep breath on the correlation between the wrist and finger photoplethysmograms

Keikhosravi, A ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/ICBME.2012.6519672
  3. Publisher: 2012
  4. Abstract:
  5. In this paper, a special probe is designed using an array of photodiodes and a 960 nm LED for recording the wrist photoplethysmogram (PPG). The design is based on Monte-Carlo simulation of light propagation in tissues. Two series of experiments were carried-out: normal breathing and deep breathing. In both experiments, finger and wrist PPG were simultaneously recorded from the index finger. In the first series of experiment, signals from 9 subjects were recorded and the correlation coefficient for the raw signals (AC+DC), the AC and DC components of wrist and finger PPG were (62.5% ± 12.1%), (91.2% ± 6.9%) and (61% ± 13.4%) respectively. In the second series of experiment (deep breathing), signals from 6 subjects were recorded and the correlation coefficient for the raw signals (AC+DC), the AC and DC components were (89.7% ± 5.9%), (93.7% ± 3.3%) and (89.9% ± 5.9%) respectively. These results show that under normal breathing conditions, only the AC components of the PPG signals are highly correlated. When respiration becomes the dominant effect, both AC and DC parts become highly correlated
  6. Keywords:
  7. Wrist PPG probe ; Breathing condition ; Correlation coefficient ; Correlation coeficient ; Deep breathing ; Light propagation in tissue ; Monte-Carlo simulations ; Normal breathing ; Photoplethysmogram ; Biomedical engineering ; Intelligent systems ; Light emitting diodes ; Probes ; Tissue ; Experiments
  8. Source: 2012 19th Iranian Conference of Biomedical Engineering, ICBME 2012 ; 2012 , Pages 135-138 ; 9781467331302 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6519672