Literature DB >> 19170720

Changes in left ventricular ejection time and pulse transit time derived from finger photoplethysmogram and electrocardiogram during moderate haemorrhage.

Paul M Middleton1, Gregory S H Chan, Emma O'Lone, Elizabeth Steel, Rebecca Carroll, Branko G Celler, Nigel H Lovell.   

Abstract

OBJECTIVES: Early identification of haemorrhage is difficult when a bleeding site is not apparent. This study explored the potential use of the finger photoplethysmographic (PPG) waveform derived left ventricular ejection time (LVET(p)) and pulse transit time (PTT) for detecting blood loss, by using blood donation as a model of controlled mild to moderate haemorrhage.
METHODS: This was a prospective, observational study carried out in a convenience sample of blood donors. LVET(p), PTT and R-R interval (RRi) were computed from simultaneous measurement of the electrocardiogram (ECG) and the finger infrared photoplethysmogram obtained from 43 healthy volunteers during blood donation. The blood donation process was divided into four stages: (i) Pre-donation (PRE), (ii) first half of donation (FIRST), (iii) second half of donation (SECOND), (iv) post-donation (POST). RESULTS AND
CONCLUSIONS: Shortening of LVET(p) from 303+/-2 to 293+/-3 ms (mean+/-SEM; P<0.01) and prolongation of PTT from 177+/-3 to 186+/-4 ms (P<0.01) were observed in 81% and 91% of subjects respectively when comparing PRE and POST. During blood donation, progressive blood loss produced falling trends in LVET(p) (P<0.01) and rising trends in PTT (P<0.01) in FIRST and SECOND, but a falling trend in RRi (P<0.01) was only observed in SECOND. Monitoring trends in timing variables derived from non-invasive ECG and finger PPG signals may facilitate detection of blood loss in the early phase.

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Year:  2009        PMID: 19170720     DOI: 10.1111/j.1475-097X.2008.00843.x

Source DB:  PubMed          Journal:  Clin Physiol Funct Imaging        ISSN: 1475-0961            Impact factor:   2.273


  4 in total

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Authors:  Antoine Baumann; Anne-Laure Derelle; Paul-Michel Mertes; Gérard Audibert
Journal:  Neurocrit Care       Date:  2012-06       Impact factor: 3.210

2.  Increasing accuracy of pulse transit time measurements by automated elimination of distorted photoplethysmography waves.

Authors:  Marit H N van Velzen; Arjo J Loeve; Sjoerd P Niehof; Egbert G Mik
Journal:  Med Biol Eng Comput       Date:  2017-03-30       Impact factor: 2.602

3.  Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals.

Authors:  Yekanth Ram Chalumuri; Jacob P Kimball; Azin Mousavi; Jonathan S Zia; Christopher Rolfes; Jesse D Parreira; Omer T Inan; Jin-Oh Hahn
Journal:  Sensors (Basel)       Date:  2022-02-10       Impact factor: 3.576

4.  An assessment of pulse transit time for detecting heavy blood loss during surgical operation.

Authors:  Chien-Hao Wang; Cheng-Wei Lu; Tzu-Yu Lin; Maysam F Abbod; Jiann-Shing Shieh
Journal:  Open Biomed Eng J       Date:  2012-12-28
  4 in total

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