Article

M-ECG: Extracting Heart Signals with a Novel Computational Analysis of Magnetoencephalography Data

2025-04-23

Abstract excerpt

Magnetoencephalography (MEG) measures the magnetic fields generated by neural activity with high temporal and spatial resolution. Because of its focus on brain activity, other biopotentials, including muscle artifacts and heart signals, are typically filtered or rejected. In this study, the feasibility of extracting cardiac signals from MEG data, which is termed “magnetoencephalographic electrocardiogram” (M-ECG;...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 104c00e4-8936-52b6-b9e0-85e89e4c9d6b
DOI: 10.1101/2025.04.17.649325

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

M-ECG: Extracting Heart Signals with a Novel Computational Analysis of Magnetoencephalography DataDOI 10.1101/2025.04.17.649325Read

Delineating the heartbeat-evoked potential from cardiac artefactSemantic proximity Read

High-Reliability Signal Quality Validation for Biosignals Using Sensor Fusion and Software IndicesSemantic proximity Read

Multimodal Seizure Detection with Long-term Ambulatory ECG and Accelerometry DataSemantic proximity Read

Monitoring Long-term Cardiac Activity with Contactless Radio Frequency SignalsSemantic proximity Read

Qualitative and Quantitative Comparative Analysis of Common Normal Variants and Physiological Artifacts in MEG and EEGSemantic proximity Read

Heart Rate Variability predicts the Subject-Driven Cognitive StatesSemantic proximity Read

Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural DynamicsSemantic proximity Read

Automated estimation of frequency and spatial extent of periodic and rhythmic epileptiform activity from continuous electroencephalography dataSemantic proximity Read

BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysisSemantic proximity Read

Aberrant brain-heart coupling is associated with the severity and prognosis of hypoxic-ischemic brain injury after cardiac arrestSemantic proximity Read

Brain-heart interactions are associated with mortality and acute encephalopathy in ICU patients with severe COVID-19Semantic proximity Read

The natural frequencies of the resting human brain: an MEG-based atlasSemantic proximity Read