Literature DB >> 25902897

Comparison of foot finding methods for deriving instantaneous pulse rates from photoplethysmographic signals.

Mathilde C Hemon1, Justin P Phillips2.   

Abstract

The suitability of different methods of finding the foot point of a pulse as measured using earlobe photoplethysmography during stationary conditions was investigated. Instantaneous pulse period (PP) values from PPG signals recorded from the ear in healthy volunteer subjects were compared with simultaneous ECG-derived cardiac periods (RR interval). Six methods of deriving pulse period were used, each based on a different method of finding specific landmark points on the PPG waveform. These methods included maximum and minimum value, maximum first and second derivative, 'intersecting tangents' and 'diastole patching' methods. Selected time domain HRV variables were also calculated from the PPG signals obtained using multiple methods and compared with ECG-derived HRV variables. The correlation between PPG and ECG was greatest for the intersecting tangents method compared to the other methods (RMSE = 5.69 ms, r (2) = 0.997). No significant differences between PP and RR were seen for all PPG methods, however the PRV variables derived using all methods showed significant differences to HRV, attributable to the sensitivity of PRV parameters to pulse transients and artifacts. The results suggest that the intersecting tangents method shows the most promise for extracting accurate pulse rate variability data from PPG datasets. This work has applications in other areas where pulse arrival time is a key measurement including pulse wave velocity assessment.

Entities:  

Keywords:  Foot-finding; Photoplethysmography; Pulse rate variability; Pulse wave velocity

Mesh:

Year:  2015        PMID: 25902897     DOI: 10.1007/s10877-015-9695-6

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  17 in total

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5.  Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information?

Authors:  Sheng Lu; He Zhao; Kihwan Ju; Kunson Shin; Myoungho Lee; Kirk Shelley; Ki H Chon
Journal:  J Clin Monit Comput       Date:  2007-11-07       Impact factor: 2.502

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Authors:  Justin P Phillips; Panayiotis A Kyriacou
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014
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  11 in total

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Journal:  Biomed Opt Express       Date:  2016-11-16       Impact factor: 3.732

Review 2.  Journal of Clinical Monitoring and Computing 2016 end of year summary: cardiovascular and hemodynamic monitoring.

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3.  Effect of Missing Inter-Beat Interval Data on Heart Rate Variability Analysis Using Wrist-Worn Wearables.

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4.  Wearable Photoplethysmography for Cardiovascular Monitoring.

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Authors:  Cody P Anderson; Song-Young Park
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6.  Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients.

Authors:  Elisa Mejía-Mejía; James M May; Mohamed Elgendi; Panayiotis A Kyriacou
Journal:  NPJ Digit Med       Date:  2021-05-14

7.  Effects of Contact Pressure in Reflectance Photoplethysmography in an In Vitro Tissue-Vessel Phantom.

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Journal:  Sensors (Basel)       Date:  2021-12-16       Impact factor: 3.576

8.  Pulse sharpness as a quantitative index of vascular aging.

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Journal:  Sci Rep       Date:  2021-10-06       Impact factor: 4.379

Review 9.  Advances in Photopletysmography Signal Analysis for Biomedical Applications.

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Journal:  Sensors (Basel)       Date:  2018-06-09       Impact factor: 3.576

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Journal:  Sci Rep       Date:  2022-03-25       Impact factor: 4.996

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