Format

Send to

Choose Destination
See comment in PubMed Commons below
IEEE Trans Biomed Eng. 2012 Sep;59(9):2476-85. doi: 10.1109/TBME.2012.2204882. Epub 2012 Jun 14.

Signal quality estimation with multichannel adaptive filtering in intensive care settings.

Author information

1
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. ikaro@mit.edu

Abstract

A signal quality estimate of a physiological waveform can be an important initial step for automated processing of real-world data. This paper presents a new generic point-by-point signal quality index (SQI) based on adaptive multichannel prediction that does not rely on ad hoc morphological feature extraction from the target waveform. An application of this new SQI to photoplethysmograms (PPG), arterial blood pressure (ABP) measurements, and ECG showed that the SQI is monotonically related to signal-to-noise ratio (simulated by adding white Gaussian noise) and to subjective human quality assessment of 1361 multichannel waveform epochs. A receiver-operating-characteristic (ROC) curve analysis, with the human "bad" quality label as positive and the "good" quality label as negative, yielded areas under the ROC curve of 0.86 (PPG), 0.82 (ABP), and 0.68 (ECG).

PMID:
22717504
PMCID:
PMC3652526
DOI:
10.1109/TBME.2012.2204882
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for IEEE Engineering in Medicine and Biology Society Icon for PubMed Central
    Loading ...
    Support Center