Multiparameter respiratory rate estimation from the photoplethysmogram.

Multiparameter respiratory rate estimation from the photoplethysmogram. Karlen, W., Raman, S., Ansermino, J., M., & Dumont, G., A. IEEE Transactions on Biomedical Engineering, 60(7):1946-53, 2013.

Website doi abstract bibtex 10 downloads

We present a novel method for estimating respiratory rate in real time from the photoplethysmogram (PPG) obtained from pulse oximetry. Three respiratory-induced variations (frequency, intensity, and amplitude) are extracted from the PPG using the Incremental-Merge Segmentation algorithm. Frequency content of each respiratory-induced variation is analyzed using fast Fourier transforms. The proposed Smart Fusion method then combines the results of the three respiratory-induced variations using a transparent mean calculation. It automatically eliminates estimations considered to be unreliable because of detected presence of artifacts in the PPG or disagreement between the different individual respiratory rate estimations. The algorithm has been tested on data obtained from 29 children and 13 adults. Results show that it is important to combine the three respiratory-induced variations for robust estimation of respiratory rate. The Smart Fusion showed trends of improved estimation (mean root mean square error 3.0 breaths/min) compared to the individual estimation methods (5.8, 6.2, and 3.9 breaths/min). The Smart Fusion algorithm is being implemented in a mobile phone pulse oximeter device to facilitate the diagnosis of severe childhood pneumonia in remote areas.

@article{
 title = {Multiparameter respiratory rate estimation from the photoplethysmogram.},
 type = {article},
 year = {2013},
 keywords = {Adolescent,Adult,Aged,Algorithms,Automated,Automated: methods,Child,Computer Systems,Computer-Assisted,Computer-Assisted: methods,Data Interpretation,Diagnosis,Fourier Analysis,Humans,Infant,Middle Aged,Pattern Recognition,Photoplethysmography,Photoplethysmography: methods,Preschool,Reproducibility of Results,Respiratory Rate,Respiratory Rate: physiology,Sensitivity and Specificity,Statistical,Young Adult,photoplethysmogram,pulse oximeter,respiratory rate},
 pages = {1946-53},
 volume = {60},
 websites = {http://www.ncbi.nlm.nih.gov/pubmed/23399950,https://www.researchgate.net/publication/235521997_Multiparameter_Respiratory_Rate_Estimation_From_the_Photoplethysmogram},
 id = {23ae7710-6df8-3f97-85b4-6cfe0f2f8192},
 created = {2017-08-28T07:29:49.619Z},
 accessed = {2013-06-03},
 file_attached = {true},
 profile_id = {6d353feb-efe4-367e-84a2-0815eb9ca878},
 last_modified = {2022-09-04T18:12:25.199Z},
 read = {true},
 starred = {true},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Karlen2013a},
 notes = {IF-2018: 4.49},
 folder_uuids = {f1f67efc-95a7-4f1a-b181-c3670c667a34,b7673acf-cf74-4294-9d7a-ff63418309e7,9aa961a4-04a6-4a65-b081-d534c7a81a35,7b0fcef9-e247-4690-b778-5ca357548066,60555479-b7f0-45f5-aa97-a3920f93c426,4afa922c-d8d6-102e-ac9a-0024e85ead87,0d3ec8ac-06e7-459a-9eec-b845649cdc31,1d5c9041-7902-453a-83e6-6cd19528c777,7ecba661-0765-42d5-a37e-6a57b331e28c,8bf4ed74-a467-49ad-8f7c-6ab98c981268},
 private_publication = {false},
 abstract = {We present a novel method for estimating respiratory rate in real time from the photoplethysmogram (PPG) obtained from pulse oximetry. Three respiratory-induced variations (frequency, intensity, and amplitude) are extracted from the PPG using the Incremental-Merge Segmentation algorithm. Frequency content of each respiratory-induced variation is analyzed using fast Fourier transforms. The proposed Smart Fusion method then combines the results of the three respiratory-induced variations using a transparent mean calculation. It automatically eliminates estimations considered to be unreliable because of detected presence of artifacts in the PPG or disagreement between the different individual respiratory rate estimations. The algorithm has been tested on data obtained from 29 children and 13 adults. Results show that it is important to combine the three respiratory-induced variations for robust estimation of respiratory rate. The Smart Fusion showed trends of improved estimation (mean root mean square error 3.0 breaths/min) compared to the individual estimation methods (5.8, 6.2, and 3.9 breaths/min). The Smart Fusion algorithm is being implemented in a mobile phone pulse oximeter device to facilitate the diagnosis of severe childhood pneumonia in remote areas.},
 bibtype = {article},
 author = {Karlen, Walter and Raman, Srinivas and Ansermino, J Mark and Dumont, Guy A},
 doi = {10.1109/TBME.2013.2246160},
 journal = {IEEE Transactions on Biomedical Engineering},
 number = {7}
}

Downloads: 10