Middleton, Paul M. and Tang, Collin Howe Hing and Chan, Gregory S. H. and Bishop, Sarah and Savkin, Andrey V. and Lovell, Nigel H. (2011) Peripheral photoplethysmography variability analysis of sepsis patients. Medical & Biological Engineering & Computing, 49 (3). pp. 337-347. ISSN 0140-0118
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Official URL: http://dx.doi.org/10.1007/s11517-010-0713-z
Abstract
Sepsis is associated with impairment in autonomic regulatory function. This work investigates the application of heart rate and photoplethysmogram (PPG) waveform variability analysis in differentiating two categories of sepsis, namely systemic inflammatory response syndrome (SIRS) and severe sepsis. Electrocardiogram-derived heart period (RRi) and PPG waveforms, measured from fingertips (Fin-PPG) and earlobes (Ear-PPG), of Emergency Department sepsis patients (n = 28) with different disease severity, were analysed by spectral technique, and were compared to control subjects (n = 10) in supine and 80° head-up tilted positions. Analysis of covariance (ANCOVA) was applied to adjust for the confounding factor of age. Low-frequency (LF, 0.04-0.15 Hz), mid-frequency (MF, 0.09-0.15 Hz) and high-frequency (HF, 0.15-0.60 Hz) powers were computed. The normalised MF power in Ear-PPG (MFnu Ear) was significantly reduced in severe sepsis patients with hyperlactataemia (lactate > 2 mmol/l), compared to SIRS patients (P < 0.05). Moreover, in a group of normal controls, MFnu Ear was not altered by head-up tilting (P > 0.05), suggesting that there may be a link between 0.1 Hz ear blood flow oscillation and tissue metabolic changes in sepsis, in addition to autonomic factors. The study highlighted the value of PPG spectral analysis in the non-invasive assessment of peripheral vascular regulation in sepsis patients, with potential implications in monitoring the progression of sepsis.
Item Type: | Article |
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Uncontrolled Keywords: | cardiovascular variability analysis, peripheral circulation, photoplethysmography, power spectrum analysis, sepsis |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Mechanical Engineering |
ID Code: | 29571 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 18 Mar 2013 08:15 |
Last Modified: | 25 Apr 2019 01:15 |
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