A Method For Measuring Cardiac Timing From A Ballistocardiogram

UCLA researchers have developed an algorithm that can extract the cardiac timing from BCG directly, thus eliminating the most important sources of error that stem from the ECG recording. The EEG data is passed in the algorithm and processed by two sepa…

UCLA researchers have developed an algorithm that can extract the cardiac timing from BCG directly, thus eliminating the most important sources of error that stems from the ECG recording. The EEG data is passed into the algorithm and processed by two separate pipelines. The first pipeline provides a robust signal with regard to the BCG. The second pipeline provides a signal with respect to the ECG. The time points from the two pipelines are then combined and discrepancies between them are resolved. These can then be fed into the artifact correction algorithm of choice to correct the EEG signal.

Abstract

UCLA researchers have developed an algorithm to directly measure the cardiac timing from Ballistocardiogram (BCG) to help clean the BCG from the Electroencephalogram (EEG) recording.

Website

https://techtransfer.universityofcalifornia.edu/NCD/27513.html?utm_source=AUTMGTP&utm_medium=webpage&utm_term=ncdid_27513&utm_campaign=TechWebsites

Advantages

This invention will allow more accurate cardiac timing measurement by eliminating the most important sources of error that stem from the ECG recording. Thus, it improves the ability of current algorithms to clean the BCG from the EEG recording.

Potential Applications

The primary application of this invention is to remove BCG contaminations from EEG signals, especially in the MRI environment.

Contact Information

Name: UCLA Technology Development Group

Email: ncd@tdg.ucla.edu

Phone: 310.794.0558