Can Photoplethysmography Variability Serve as an Alternative Approach to Obtain Heart Rate Variability Information?

Lu, Sheng; Zhao, He; Ju, Kihwan; Shin, K.S.; Lee, Myoungho; Shelley, Kirk H.; Chon, Ki H.

doi:10.1007/s10877-007-9103-y

Cited by 255 publications

(172 citation statements)

References 12 publications

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“…3b and 3c, respectively). 4 The magnitude frequency response of the converged FIR filter that achieves this artifact reduction shows resonances at ±1 Hz, ±2 Hz and ±3 Hz (Fig. 3g).…”

Section: Resultsmentioning

confidence: 93%

“…Temporal SpO 2 patterns can be used to advance understanding of CLD, and to improve oxygen therapy [1,2,3]. In addition, heart rate variability (HRV) can be derived from a PPG, e.g., to assess dynamic characteristics of the patient's autonomic nervous system [4].…”

Section: Introductionmentioning

confidence: 99%

“…As PPGs are highly susceptible to motion, ambulatory oximetry and PPG derived HRV can be severely affected by motion artifacts [1,4]. It is hypothesized 2 that motion artifacts in PPGs correlate with sensor motion relative to the skin.…”

Section: Introductionmentioning

confidence: 99%

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Improving Pulse Oximetry Accuracy by Removing Motion Artifacts from Photoplethysmograms Using Relative Sensor Motion: A Preliminary Study

Wijshoff

Mischi

Woerlee

et al. 2013

Oxygen Transport to Tissue XXXV

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To expand applicability of pulse oximetry in low-acuity ambulatory settings, the impact of motion on extracted parameters as saturation (SpO 2 ) and pulse rate (PR) needs to be reduced. It is hypothesized that sensor motion relative to the skin can be used as an artifact reference in a correlation canceler to reduce motion artifacts in photoplethysmograms (PPGs), in order to improve SpO 2 and PR measurements. This has been proven true in in-vivo measurements, where forehead PPGs have been obtained while subjects are walking on a treadmill, and relative sensor motion has been measured via self-mixing interferometry. By using relative motion in a Normalized Least Mean Square algorithm, the standard deviation of SpO 2 and PR errors is on average reduced by 31% and 13%, respectively.

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“…3b and 3c, respectively). 4 The magnitude frequency response of the converged FIR filter that achieves this artifact reduction shows resonances at ±1 Hz, ±2 Hz and ±3 Hz (Fig. 3g).…”

Section: Resultsmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving Pulse Oximetry Accuracy by Removing Motion Artifacts from Photoplethysmograms Using Relative Sensor Motion: A Preliminary Study

Wijshoff

Mischi

Woerlee

et al. 2013

Oxygen Transport to Tissue XXXV

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“…Acquisition of PPG signals is more convenient and less invasive than ECG and allows the instantaneous pulse period (PP) to be derived, a surrogate for RR interval (9). PRV analysis has been performed in multiple studies using PPG signals recorded from the finger or earlobe and report varying levels of accuracy compared to HRV (2,4,5,7,8,15,21).…”

Section: Introductionmentioning

confidence: 99%

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

Hemon

Phillips

2015

J Clin Monit Comput

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link ABSTRACT PurposeThe suitability of different methods of finding the foot point of a pulse as measured using earlobe photoplethysmography during stationary conditions was investigated. MethodsInstantaneous 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. ResultsThe 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. ConclusionsThe 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. KEYWORDSPulse rate variability, photoplethysmography, foot-finding, pulse wave velocity.

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“…Pulse wave peak detection also helps to study large-artery damage [9] and peripheral vascular disease [10]. Further, the intervals between successive peaks in a pulse wave give a measure of the instantaneous heart rates in supine position [11][12][13]. It is also necessary to find systolic peaks of PPG signal to calculate pulse transmit time (PTT) and pulse wave velocity (PWV).…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Automatic Systolic Peak Detection Algorithm for Photoplethysmographic Signals

Kuntamalla¹,

Reddy²

2014

IJCA

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Processing of physiological signals often involves detection of peaks and finding intervals between them. Well developed methods are available for Electrocardiogram(ECG) QRS complex detection. However, there are only a few algorithms published for peak detection suitable for pulse wave signals such as arterial pressure wave and photoplethysmographic (PPG) signals. Algorithms for detection of QRS complex in ECG are based on the impulsive character of the signal and are not applicable for pulse wave signals, which are more sinusoidal in nature and the shape varies with age. In this background, a versatile algorithm based on the physiology of the pulse wave is developed to detect the peaks from a pulse wave signal such as PPG. The algorithm combines the technique of moving average of valley-peak differences with an adaptive threshold filtering to detect the systolic peaks. The algorithm is validated against a publicly available validation dataset and achieved a sensitivity of 99.82 and a positive predictivity of 98.88 when compared to expert manual annotations. This algorithm is computationally simple and can be easily implemented in real time processing hardware.

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Can Photoplethysmography Variability Serve as an Alternative Approach to Obtain Heart Rate Variability Information?

Cited by 255 publications

References 12 publications

Improving Pulse Oximetry Accuracy by Removing Motion Artifacts from Photoplethysmograms Using Relative Sensor Motion: A Preliminary Study

Improving Pulse Oximetry Accuracy by Removing Motion Artifacts from Photoplethysmograms Using Relative Sensor Motion: A Preliminary Study

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

An Efficient and Automatic Systolic Peak Detection Algorithm for Photoplethysmographic Signals

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