{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T10:26:28Z","timestamp":1784024788504,"version":"3.55.0"},"reference-count":14,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,1,29]],"date-time":"2020-01-29T00:00:00Z","timestamp":1580256000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shenzhen Science and Technology Innovation Council","award":["JCYJ20180507182040213"],"award-info":[{"award-number":["JCYJ20180507182040213"]}]},{"name":"Shenzhen Science and Technology Innovation Council","award":["JCYJ20170818141853626"],"award-info":[{"award-number":["JCYJ20170818141853626"]}]},{"name":"Shenzhen Science and Technology Innovation Council","award":["2018B030332001"],"award-info":[{"award-number":["2018B030332001"]}]},{"name":"Shenzhen Science and Technology Innovation Council","award":["2016ZT06S220"],"award-info":[{"award-number":["2016ZT06S220"]}]},{"name":"Shenzhen Science and Technology Innovation Council","award":["JCYJ20180507182040213"],"award-info":[{"award-number":["JCYJ20180507182040213"]}]},{"name":"Shenzhen Science and Technology Innovation Council","award":["JCYJ20170818141853626"],"award-info":[{"award-number":["JCYJ20170818141853626"]}]},{"name":"Shenzhen Science and Technology Innovation Council","award":["2018B030332001"],"award-info":[{"award-number":["2018B030332001"]}]},{"name":"Shenzhen Science and Technology Innovation Council","award":["2016ZT06S220"],"award-info":[{"award-number":["2016ZT06S220"]}]},{"name":"Guangdong Key Basic Research","award":["JCYJ20180507182040213"],"award-info":[{"award-number":["JCYJ20180507182040213"]}]},{"name":"Guangdong Key Basic Research","award":["JCYJ20170818141853626"],"award-info":[{"award-number":["JCYJ20170818141853626"]}]},{"name":"Guangdong Key Basic Research","award":["2018B030332001"],"award-info":[{"award-number":["2018B030332001"]}]},{"name":"Guangdong Key Basic Research","award":["2016ZT06S220"],"award-info":[{"award-number":["2016ZT06S220"]}]},{"name":"Guangdong Pearl River Talents Plan","award":["JCYJ20180507182040213"],"award-info":[{"award-number":["JCYJ20180507182040213"]}]},{"name":"Guangdong Pearl River Talents Plan","award":["JCYJ20170818141853626"],"award-info":[{"award-number":["JCYJ20170818141853626"]}]},{"name":"Guangdong Pearl River Talents Plan","award":["2018B030332001"],"award-info":[{"award-number":["2018B030332001"]}]},{"name":"Guangdong Pearl River Talents Plan","award":["2016ZT06S220"],"award-info":[{"award-number":["2016ZT06S220"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2020,1,29]]},"abstract":"<jats:p>A rapid and objective assessment of the severity of facial paralysis allows rehabilitation physicians to choose the optimal rehabilitation treatment regimen for their patients. In this study, patients with facial paralysis were enrolled as study objects, and the eye aspect ratio (EAR) index was proposed for the eye region. The correlation between EAR and the facial nerve grading system 2.0 (FNGS 2.0) score was analyzed to verify the ability of EAR to enhance FNGS 2.0 for the rapid and objective assessment of the severity of the facial paralysis. Firstly, in order to accurately calculate the EAR, we constructed a landmark detection model based on the face images of facial paralysis patients (FP-FLDM). Evaluation results showed that the error rate of facial feature point detection in patients with facial paralysis of FP-FLDM is 17.1%, which was significantly superior to the landmark detection model based on normal face images (NF-FLDM). Secondly, in this study, the Fr\u00e9chet distance was used to calculate the difference in bilateral EAR of facial paralysis patients and to verify the correlation between this difference and the corresponding FNGS 2.0 score. The results showed that the higher the FNGS 2.0 score , the greater the difference in bilateral EAR. The correlation coefficient between the bilateral EAR difference and the corresponding FNGS 2.0 score was 0.9673, indicating a high correlation. Finally, through a 10-fold crossvalidation, we can know that the accuracy of scoring the eyes of patients with facial paralysis using EAR was 85.7%, which can be used to enhance the objective and rapid assessment of the severity of facial paralysis by FNGS 2.0.<\/jats:p>","DOI":"10.1155\/2020\/1038906","type":"journal-article","created":{"date-parts":[[2020,1,29]],"date-time":"2020-01-29T18:30:42Z","timestamp":1580322642000},"page":"1-11","source":"Crossref","is-referenced-by-count":11,"title":["Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8962-6867","authenticated-orcid":true,"given":"Jialing","family":"Feng","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1400-3416","authenticated-orcid":true,"given":"Zhexiao","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"},{"name":"Shenzhen Institute of Neuroscience, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4800-4548","authenticated-orcid":true,"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"Shenzhen Hospital, Southern Medical University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0171-5599","authenticated-orcid":true,"given":"Guo","family":"Dan","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"},{"name":"Shenzhen Institute of Neuroscience, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1097\/00129492-200209000-00026"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.otohns.2008.12.031"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1097\/01.prs.0000152431.55774.7e"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-2696-0"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1055\/s-0035-1549292"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/21.97458"},{"key":"11","first-page":"325","volume-title":"A noninvasive real-time solution for driving fatigue detection based on left prefrontal eeg and eye blink","year":"2016"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.5120\/16938-7064"},{"key":"14","first-page":"269","volume-title":"Driver fatigue detection","year":"2016"},{"key":"16","year":"2017"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2017.2707588"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1017\/s0022215100092562"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1037\/met0000089"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.3342\/ceo.2013.6.3.135"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2020\/1038906.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2020\/1038906.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2020\/1038906.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,29]],"date-time":"2020-01-29T18:30:48Z","timestamp":1580322648000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cmmm\/2020\/1038906\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,29]]},"references-count":14,"alternative-id":["1038906","1038906"],"URL":"https:\/\/doi.org\/10.1155\/2020\/1038906","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,29]]}}}