Continuous non-invasive estimates of cerebral blood flow using electrocardiography signals: a feasibility study.

Samuel J van Bohemen, Jeffrey M Rogers, Philip C Boughton, Jillian L Clarke, Joaquin T Valderrama, Andre Z Kyme

Open access · hybridAbstract read

In one paragraph

Article in Biomedical engineering letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

1.1field-weighted citation impact, top 23% of its field

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Samuel J van BohemenSchool of Biomedical Engineering, The University of Sydney, Sydney, NSW Australia.ORCID 0000-0001-9620-4099

Jeffrey M RogersNeurocare Group, Sydney, NSW Australia.

Philip C BoughtonSydney Spine Institute, Sydney, NSW Australia.

Jillian L ClarkeFaculty of Medicine and Health, The University of Sydney, Sydney, NSW Australia.

Joaquin T ValderramaNational Acoustic Laboratories, Sydney, NSW Australia.

Andre Z KymeSchool of Biomedical Engineering, The University of Sydney, Sydney, NSW Australia.

The University of Sydney · AUNational Acoustic Laboratories · AUNeuroscience Research Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes a potential method to detect changes in cerebral blood flow (CBF) using electrocardiography (ECG) signals, measured across scalp electrodes with reference to the same signal across the chest-a metric we term the Electrocardiography Brain Perfusion index (EBPi). We investigated the feasibility of EBPi to monitor CBF changes in response to specific tasks. Twenty healthy volunteers wore a head-mounted device to monitor EBPi and electroencephalography (EEG) during tasks known to alter CBF. Transcranial Doppler (TCD) ultrasound measurements provided ground-truth estimates of CBF. Statistical analyses were applied to EBPi, TCD right middle cerebral artery blood flow velocity (rMCAv) and EEG relative Alpha (rAlpha) data to detect significant task-induced changes and correlations. Breath-holding and aerobic exercise induced highly significant increases in EBPi and TCD rMCAv ( Supplementary Information: The online version contains supplementary material available at 10.1007/s13534-023-00265-z.

Indexed as

Cerebral blood flowContinuous monitoringElectrocardiographyElectroencephalographyQuantitative electroencephalographyStroke

Identifiers

PMID37124110

DOI10.1007/s13534-023-00265-z

PMCPMC10130316

OpenAlexW4319983882

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.