Unknown

Dataset Information

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


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 correlati

SUBMITTER: van Bohemen SJ 

PROVIDER: S-EPMC10130316 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature