{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:05:20Z","timestamp":1750309520276,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,25]],"date-time":"2024-10-25T00:00:00Z","timestamp":1729814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFC0119400"],"award-info":[{"award-number":["2019YFC0119400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61701342"],"award-info":[{"award-number":["61701342"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin Jinnan District Science and Technology Project","award":["20200116"],"award-info":[{"award-number":["20200116"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,25]]},"DOI":"10.1145\/3704323.3704381","type":"proceedings-article","created":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T08:25:22Z","timestamp":1736238322000},"page":"66-73","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Automatic Diagnosis Method for Chronic Obstructive Pulmonary Disease (COPD) Based on the Integration of MFCC and LPCC Feature Parameters"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3080-185X","authenticated-orcid":false,"given":"Zhihao","family":"Lin","sequence":"first","affiliation":[{"name":"School of Life Sciences, Tiangong University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7595-7244","authenticated-orcid":false,"given":"Weiming","family":"Li","sequence":"additional","affiliation":[{"name":"Instituto Superior T\u00e9cnico, Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7911-1339","authenticated-orcid":false,"given":"Wanpeng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Life Sciences, Tiangong University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0873-7229","authenticated-orcid":false,"given":"Xiaoyun","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine & Sleep Center, Tianjin Chest Hospital, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4788-8196","authenticated-orcid":false,"given":"Yao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Life Sciences, Tiangong University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,1,7]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"Liu T CAI B Q. Introduction of the Global Strategy for the diag-nosis management and prevention of chronic obstructive pulmonary disease (2011 revision) [J]. Chin J Respiratory & Critical Care 2012 11(01):1-12."},{"key":"e_1_3_3_1_3_2","unstructured":"Zhang L Miao M L Jiang X Q et al. Progress in the application of respiratory rehabilitation in chronie obstructive pulmonary disease[J]. Chinese Journal of Clinical Health 2021 24(05) : 612-617."},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Kanwade A Bairagi V. Classification of COPD and Nor-mal Lung Airways using Feature Extraction of Electromyo-graphic Signals[J]. Journal of King Saud University - Com-puter and Information Sciences 2017 31(4).","DOI":"10.1016\/j.jksuci.2017.05.006"},{"key":"e_1_3_3_1_5_2","unstructured":"Ma X B Zhang L X Li Y et al. Predicting chronic obstructive pulmonary disease based on optimized decision tree[J]. Journal of Shandong Normal University (Natural Science Edition) 2017 32(2):18-29."},{"key":"e_1_3_3_1_6_2","unstructured":"Fang Y L Wang H Di R T et al. Multidimensional feature extraction and integrated diagnosis of COPD[J]. Application Research of Computers 2019 36(10):2925-2929."},{"key":"e_1_3_3_1_7_2","unstructured":"Pei Z W Zhu P. Research on lung sound signal recognition based on ICEEMDAN-MLP[J]. Electronic Design Engineering 2021 29(1):96-100."},{"key":"e_1_3_3_1_8_2","unstructured":"Wang W. Speaker recognition of text-independent continuous natural speech and its implementation based on DSP[D]. PLA University of Information Engineering 2004."},{"key":"e_1_3_3_1_9_2","unstructured":"YAO Rui ZENG Zeqing DU Junjie. Voice Activity Detection Method Based on the Noise Classification and Double Adaptive Threshold Decision. Advanced Engineering Sciences 2018 50(4): 170-178. DOI:10.15961\/j.jsuese.201700304"},{"key":"e_1_3_3_1_10_2","unstructured":"Yan W Y Li L Yang Y G et al. Application of the computer-based respiratory sound analysis system based on Mel-frequency cepstral coefficient and dynamic time warping in healthy children[J]. Chinese Journal of Pediatrics 2016 54 (8): 605-609."},{"key":"e_1_3_3_1_11_2","unstructured":"Zhang W k. The Research of Fusion LPCC and MFCC Feature Parameters in Speech Recognition Technology[D] Xiangtan University 2016."},{"key":"e_1_3_3_1_12_2","unstructured":"Li H Xu X l Wu G X et al. Research on Speech Emotional Feature Extraction Based on MFCC [J] Journal of Electronic Measurement and Instrumentation 2017 31 (3): 448-453."},{"key":"e_1_3_3_1_13_2","unstructured":"Wang B. An emproved LPCC parameter extrac-tion method research [J]. Electronic Design Engineering 2012 20 (6):29-30 33."},{"key":"e_1_3_3_1_14_2","unstructured":"Huang X B Zhang L Cao L et al. Intelligent speech recognition methods of different frequency bands based on LPCC [J]. Electronic Design Engineering 2020 28 (2):22-25 30."},{"key":"e_1_3_3_1_15_2","unstructured":"Cai H Zhang J Huang Z T. Fisher Method for Analysis of Sound Acoustics and Its Application [J] Journal of Data Acquisition and Processing 2000 15(4):471-475."},{"key":"e_1_3_3_1_16_2","unstructured":"Shen K W Li W J Yue K Q. SVM with LPCC and MFCC for OSAHS snoring recognition [J]. Journal of Hangzhou Dianzi University(Natural Sciences) 2020 40(6):6."},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Rocha BM Filos D Mendes L Vogiatzis I Perantoni E Kaimakamis E Natsiavas P Oliveira A J\u00e1come C Marques A Paiva RP A Respiratory Sound Database for the Development of Automated Classification In Precision Medicine Powered by pHealth and Connected Health (pp. 51-55). (2018).","DOI":"10.1007\/978-981-10-7419-6_6"},{"key":"e_1_3_3_1_18_2","unstructured":"Wang S Q Hua G Xu Y G et al. Anal-ysis of inconsistency of AUC [J]. Journal of Jiangsu Nor-mal University (Natural Science Edition) 2013 31 (03): 31-34."},{"key":"e_1_3_3_1_19_2","unstructured":"Wang J Wu H Q Song Z Q. Receiver operating characteristic curve (ROC) and its application in imaging [J]. Radiology practice 2000 (03) : 201-202. DOI:10.13609\/j.cnki.1000-0313.2000.03.028."},{"key":"e_1_3_3_1_20_2","unstructured":"Lu J W. Automatic Mining Method for Sensitive Data of COPD Diagnosis Information Based on Neural Network Model[J]. Techniques of Automation and Applications 2021 40 (11) : 80-85."},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Mini P P Thomas T Gopikakumari R. EEG based direct speech BCI system using a fusion of SMRT and MFCC\/LPCC features with ANN classifier[J]. Biomedical Signal Processing and Control 2021 68(2):102625.","DOI":"10.1016\/j.bspc.2021.102625"}],"event":{"name":"ICCPR 2024: 2024 13th International Conference on Computing and Pattern Recognition","acronym":"ICCPR 2024","location":"Tianjin China"},"container-title":["Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3704323.3704381","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3704323.3704381","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:05Z","timestamp":1750295885000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3704323.3704381"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,25]]},"references-count":20,"alternative-id":["10.1145\/3704323.3704381","10.1145\/3704323"],"URL":"https:\/\/doi.org\/10.1145\/3704323.3704381","relation":{},"subject":[],"published":{"date-parts":[[2024,10,25]]},"assertion":[{"value":"2025-01-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}