{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T06:02:21Z","timestamp":1769148141046,"version":"3.49.0"},"reference-count":33,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T00:00:00Z","timestamp":1715212800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T00:00:00Z","timestamp":1715212800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Med. Eng. Phys."],"published-print":{"date-parts":[[2024,7,1]]},"DOI":"10.1016\/j.medengphy.2024.104179","type":"journal-article","created":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T11:33:21Z","timestamp":1715254401000},"page":"104179","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Patient's airway monitoring during cardiopulmonary resuscitation using deep networks"],"prefix":"10.1088","volume":"129","author":[{"given":"Mahmoud","family":"Marhamati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Behnam","family":"Dorry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5537-2763","authenticated-orcid":true,"given":"Shima","family":"Imannezhad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Arafat","family":"Hussain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali Asghar","family":"Neshat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abulfazl","family":"Kalmishi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8512-8307","authenticated-orcid":true,"given":"Mohammad","family":"Momeny","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2024,5,9]]},"reference":[{"key":"bib0001","first-page":"406","type":"other","article-title":"Uniform reporting of measured quality of cardiopulmonary resuscitation (CPR)","volume":"74","author":"Kramer-Johansen","year":"2007"},{"key":"bib0002","first-page":"S99","type":"other","article-title":"Evaluation of cardiopulmonary resuscitation (CPR) techniques","volume":"17","author":"Bossaert","year":"1989"},{"key":"bib0003","first-page":"1119","type":"other","article-title":"The benefits of a simplified method for CPR training of medical professionals: a randomized controlled study","volume":"84","author":"Allan","year":"2013"},{"key":"bib0004","first-page":"417","type":"other","article-title":"Cardiopulmonary resuscitation quality: improving cardiac resuscitation outcomes both inside and outside the hospital","volume":"128","author":"Meaney","year":"2013"},{"key":"bib0005","first-page":"595","type":"other","article-title":"Rhythm analysis during cardiopulmonary resuscitation using convolutional neural networks","volume":"22","author":"Isasi","year":"2020"},{"key":"bib0006","first-page":"1752","type":"other","article-title":"A machine learning shock decision algorithm for use during piston-driven chest compressions","volume":"66","author":"Isasi","year":"2019"},{"key":"bib0007","author":"Ming","year":"2019","type":"other"},{"key":"bib0008","type":"other","article-title":"Machine learning and feature engineering for predicting pulse presence during chest compressions","volume":"8","author":"Sashidhar","year":"2021"},{"key":"bib0009","author":"Lalitha","year":"2021","type":"other"},{"key":"bib0010","author":"Di Mitri","year":"2020","type":"other"},{"key":"bib0011","type":"other","article-title":"Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a deep convolutional encoder-decoder filtering model","volume":"203","author":"Hajeb-M","year":"2022"},{"key":"bib0012","first-page":"73","type":"other","article-title":"The effect of alternative methods of cardiopulmonary resuscitation \u2014 Cough CPR, percussion pacing or precordial thump \u2014 on outcomes following cardiac arrest. A systematic review","volume":"162","author":"Dee","year":"2021"},{"key":"bib0013","type":"other","article-title":"Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: application to COVID-19 pneumonia infection in CT","volume":"102","author":"Hussain","year":"2022"},{"key":"bib0014","type":"other","article-title":"A novel method based on machine vision system and deep learning to detect fraud in turmeric powder","volume":"136","author":"Jahanbakhshi","year":"2021"},{"key":"bib0015","type":"other","article-title":"Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning","volume":"136","author":"Jahanbakhshi","year":"2021"},{"key":"bib0016","first-page":"5248","type":"other","article-title":"Waste management using an automatic sorting system for carrot fruit based on image processing technique and improved deep neural networks","volume":"7","author":"Jahanbakhshi","year":"2021"},{"key":"bib0017","type":"other","article-title":"Classification of sour lemons based on apparent defects using stochastic pooling mechanism in deep convolutional neural networks","volume":"263","author":"Jahanbakhshi","year":"2020"},{"key":"bib0018","type":"other","article-title":"LAIU-Net: a learning-to-augment incorporated robust U-Net for depressed humans\u2019 tongue segmentation","volume":"76","author":"Marhamati","year":"2023"},{"key":"bib0019","type":"other","article-title":"Accurate classification of cherry fruit using deep CNN based on hybrid pooling approach","volume":"166","author":"Momeny","year":"2020"},{"key":"bib0020","type":"other","article-title":"A noise robust convolutional neural network for image classification","volume":"10","author":"Momeny","year":"2021"},{"key":"bib0021","type":"other","article-title":"Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN","volume":"147","author":"Momeny","year":"2023"},{"key":"bib0022","type":"other","article-title":"Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images","volume":"63","author":"Akbarimajd","year":"2022"},{"key":"bib0023","type":"other","article-title":"Learning-to-augment strategy using noisy and denoised data: improving generalizability of deep CNN for the detection of COVID-19 in X-ray images","volume":"136","author":"Momeny","year":"2021"},{"key":"bib0024","type":"other","article-title":"Greedy autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy","volume":"141","author":"Momeny","year":"2022"},{"key":"bib0025","type":"other","article-title":"Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks","volume":"71","author":"Momeny","year":"2022"},{"key":"bib0026","author":"Szegedy","year":"2015","type":"other"},{"key":"bib0027","author":"Sandler","year":"2018","type":"other"},{"key":"bib0028","author":"Tan","year":"2019","type":"other"},{"key":"bib0029","author":"He","year":"2016","type":"other"},{"key":"bib0030","author":"Zoph","year":"2018","type":"other"},{"key":"bib0031","type":"other"},{"key":"bib0032","first-page":"211","type":"other","article-title":"ImageNet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015"},{"key":"bib0033","type":"other"}],"container-title":["Medical Engineering & Physics"],"original-title":[],"link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453324000808?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453324000808?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2024.104179","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2024.104179\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2024.104179\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2024.104179\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T15:03:36Z","timestamp":1769094216000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2024.104179"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,9]]},"references-count":33,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,5,9]]},"published-print":{"date-parts":[[2024,7,1]]}},"URL":"https:\/\/doi.org\/10.1016\/j.medengphy.2024.104179","relation":{},"ISSN":["1350-4533","1873-4030"],"issn-type":[{"value":"1350-4533","type":"print"},{"value":"1873-4030","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,9]]},"assertion":[{"value":"Patient's airway monitoring during cardiopulmonary resuscitation using deep networks","name":"article_title","label":"Article Title"},{"value":"Medical Engineering & Physics","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2024 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd.","name":"copyright_information","label":"Copyright Information"},{"value":"2023-10-02","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-05-06","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-05-09","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}