Name
Abstract | ||
|---|---|---|
Information about the quality of a recorded physiological waveform can be valuable for the detection of critical medical conditions. This work presents a new point-by-point signal quality index (SQI) based on adaptive multichannel prediction which does not rely on ad-hoc morphological feature extraction from the target waveform. An application of the SQI to photoplethysmograph waveforms showed that the SQI is monotonically related to SNR (simulated by adding white noise) and subjective human quality assessment of 1,313 waveform epochs. A receiver-operating-characteristic (ROC) curve analysis, with the human "bad" quality label as negative and the human "good" quality label as positive, yielded an area under the ROC curve of 0.863. For photoplethysmograph waveforms, a SQI greater than 0.8 seems in general to be indicative of good signal quality. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091082 | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
roc curve,photoplethysmography,signal to noise ratio,feature extraction,indexes,labeling,prediction algorithms,white noise,estimation,receiver operator characteristic,indexation | Computer vision,Computer science,Photoplethysmogram,Signal quality,Signal-to-noise ratio,Waveform,Filter (signal processing),White noise,Feature extraction,Electronic engineering,Signal quality index,Artificial intelligence | Conference |
Volume | ISSN | Citations |
2011 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ikaro Silva | 1 | 38 | 3.65 |
| Joon Lee | 2 | 29 | 5.54 |
| Roger G. Mark | 3 | 243 | 30.74 |