Name
Title | ||
|---|---|---|
Automatic estimation of respiratory rate from pulse transit time in normal subjects at rest. |
Abstract | ||
|---|---|---|
Respiratory rate (RR) can often be extracted from electrocardiogram (ECG) or photoplethysmogram (PPG) by analyzing the variations of certain morphological features or the peak-to-peak time interval between them. In this paper, we use a novel method for estimating the RR from the sequence of the pulse transit time (PTT) from radial to the central aorta. To validate this algorithm, in-situ experiments were conducted on ten healthy subjects. For each subject, an ECG, a PPG and a piezoelectric sensor-based reference respiratory signal were collected. The PTT-derived RR was evaluated by comparing with the reference RR. The results showed that the estimation error was 1.44±0.59 breaths per minute (bpm). We also compared the accuracy of the RR derived using this method with that derived from the morphological feature and peak-to-peak time interval of ECG/PPG. We found that the standard deviation (SD) of the PTT-derived results was less than other methods' SDs. The results demonstrated that the proposed method can be used to estimate the RR in ubiquitous physiological monitoring. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/BHI.2012.6211699 | BHI |
Keywords | Field | DocType |
electrocardiogram,photoplethysmogram,pulse transit time,respiratory rate,real time systems,physiology,piezoelectric sensor,estimation,photoplethysmography,standard deviation | Physiological monitoring,Internal medicine,Photoplethysmogram,Pulse Transit Time,Cardiology,Respiratory rate,Electrocardiography,Standard deviation,Medicine | Conference |
Volume | Issue | Citations |
null | null | 1 |
PageRank | References | Authors |
0.35 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dan Wu | 1 | 2318 | 272.22 |
| Ping Yang | 2 | 52 | 10.62 |
| Guan-Zheng Liu | 3 | 2 | 1.72 |
| Yuan-Ting Zhang | 4 | 208 | 31.55 |