{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:33:31Z","timestamp":1743071611922,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031672774"},{"type":"electronic","value":"9783031672781"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-67278-1_6","type":"book-chapter","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T06:02:45Z","timestamp":1723528965000},"page":"75-84","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Word or Phoneme? To Optimise Prosodic Features to Predict Lung Function with Helicopter Task"],"prefix":"10.1007","author":[{"given":"Biao","family":"Zeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hok Shing","family":"Lau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Huntly","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tim","family":"Bashford","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathan","family":"Morgan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chelsea","family":"Williams","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lauren","family":"Game","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,14]]},"reference":[{"issue":"1","key":"6_CR1","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1044\/jshr.3801.124","volume":"38","author":"AL Winkworth","year":"1995","unstructured":"Winkworth, A.L., Davis, P.J., Adams, R.D., Ellis, E.: Breathing patterns during spontaneous speech. J. Speech Lang. Hear. Res. 38(1), 124\u2013144 (1995)","journal-title":"J. Speech Lang. Hear. Res."},{"issue":"4","key":"6_CR2","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1016\/S0892-1997(98)80051-9","volume":"12","author":"JM Iwarsson","year":"1998","unstructured":"Iwarsson, J.M., Thomasson, M., Sundberg, J.: Effects of lung volume on the glottal voice source. J. Voice 12(4), 424\u2013433 (1998)","journal-title":"J. Voice"},{"issue":"4","key":"6_CR3","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1016\/j.jvoice.2017.07.001","volume":"32","author":"ESH Murray","year":"2018","unstructured":"Murray, E.S.H., Michener, C.M., Enflo, L., Cler, G.J., Stepp, C.E.: The impact of glottal configuration on speech breathing. J. Voice 32(4), 420\u2013427 (2018)","journal-title":"J. Voice"},{"issue":"1","key":"6_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/npjpcrm.2015.6","volume":"25","author":"N Tayler","year":"2015","unstructured":"Tayler, N., Grainge, C., Gove, K., Howarth, P., Holloway, J.: Clinical assessment of speech correlates well with lung function durnig induced bronchoconstriction. NPJ Primary Care Respir. Med. 25(1), 1\u20133 (2015)","journal-title":"NPJ Primary Care Respir. Med."},{"key":"6_CR5","unstructured":"Tehrany, R.: Speech breathing patterns in health and chronic respiratory disease (Doctoral dissertation, University of Southampton) (2015)"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Nallanthighal, V.S., H\u00e4rm\u00e4, A., Strik, H.: Detection of COPD exacerbation from speech: comparison of acoustic features and deep learning based speech breathing models. In: ICASSP 2022\u20132022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 9097\u20139101. IEEE (2022)","DOI":"10.1109\/ICASSP43922.2022.9747785"},{"issue":"2","key":"6_CR7","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1044\/jshr.3102.219","volume":"31","author":"RG Loudon","year":"1988","unstructured":"Loudon, R.G., Lee, L., Holcomb, B.J.: Volumes and breathing patterns during speech in healthy and asthmatic subjects. J. Speech Lang. Hear. Res. 31(2), 219\u2013227 (1988)","journal-title":"J. Speech Lang. Hear. Res."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Yadav, S., Gope, D., Maheswari, K.U., Ghosh, P.K.: Role of breath phase and breath boundaries for the classification between asthmatic and healthy subjects. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 870\u2013873. IEEE (2021)","DOI":"10.1109\/EMBC46164.2021.9630802"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Farr\u00fas, M., Codina-Filb\u00e0, J., Escudero, J.: Acoustic and prosodic information for home monitoring of bipolar disorder. Health Inf. J. 27(1), 1460458220972755 (2021)","DOI":"10.1177\/1460458220972755"},{"key":"6_CR10","unstructured":"Fairbanks, G.: Voice and Articulation Drill Book, 2nd edn, pp. 124\u2013139. Harper & Row, New York (1960)"},{"issue":"3","key":"6_CR11","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1044\/jshr.3703.535","volume":"37","author":"AL Winkworth","year":"1994","unstructured":"Winkworth, A.L., Davis, P.J., Ellis, E., Adams, R.D.: Variability and consistency in speech breathing during reading: lung volumes, speech intensity, and linguistic factors. J. Speech Lang. Hear. Res. 37(3), 535\u2013556 (1994)","journal-title":"J. Speech Lang. Hear. Res."},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.ymeth.2018.07.007","volume":"151","author":"N Cummins","year":"2018","unstructured":"Cummins, N., Baird, A., Schuller, B.W.: Speech analysis for health: current state-of-the-art and the increasing impact of deep learning. Methods 151, 41\u201354 (2018)","journal-title":"Methods"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.neunet.2021.03.029","volume":"141","author":"VS Nallanthighal","year":"2021","unstructured":"Nallanthighal, V.S., Mostaani, Z., H\u00e4rm\u00e4, A., Strik, H., Magimai-Doss, M.: Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings. Neural Netw. 141, 211\u2013224 (2021)","journal-title":"Neural Netw."},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"1167902","DOI":"10.3389\/fpsyg.2023.1167902","volume":"14","author":"B Zeng","year":"2023","unstructured":"Zeng, B., et al.: Exploring the acoustic and prosodic features of a lung-function-sensitive repeated-word speech articulation test. Front. Psychol. 14, 1167902 (2023)","journal-title":"Front. Psychol."},{"issue":"2","key":"6_CR15","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1044\/2021_JSLHR-21-00396","volume":"65","author":"RD Kent","year":"2022","unstructured":"Kent, R.D., Kim, Y., Chen, L.M.: Oral and laryngeal diadochokinesis across the life span: a scoping review of methods, reference data, and clinical applications. J. Speech Lang. Hear. Res. 65(2), 574\u2013623 (2022)","journal-title":"J. Speech Lang. Hear. Res."},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1146\/annurev-linguistics-031720-103907","volume":"7","author":"S Fuchs","year":"2021","unstructured":"Fuchs, S., Rochet-Capellan, A.: The respiratory foundations of spoken language. Annu. Rev. Linguist. 7, 13\u201330 (2021)","journal-title":"Annu. Rev. Linguist."},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Bashford, T., et al.: AI classification of respiratory illness through vocal biomarkers and a bespoke articulatory speech protocol. Int. J. Simulat. Syst. Sci. Technol. 25(1) (2024)","DOI":"10.5013\/IJSSST.a.25.01.13"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Healthcare"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-67278-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T06:03:18Z","timestamp":1723528998000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-67278-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031672774","9783031672781"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-67278-1_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"14 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare relevant to this article\u2019s content.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"AIiH","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on AI in Healthcare","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Swansea","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiih2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aiih.cc","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}