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KMID : 1144120230130020185
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Biomedical Engineering Letters
2023 Volume.13 No. 2 p.185 ~ p.195
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Continuous non-invasive estimates of cerebral blood flow using electrocardiography signals: a feasibility study
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Samuel J. van Bohemen
Jeffrey M. Rogers
Philip C. Boughton
Natalia Hallay
Joaquin T. Valderrama
Andre Z. Kyme
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Abstract
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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 (p?
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KEYWORD
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Cerebral blood fow, Continuous monitoring, Electrocardiography, Electroencephalography, Quantitative electroencephalography, Stroke
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