{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T06:03:20Z","timestamp":1763705000762},"reference-count":28,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2015,1,15]],"date-time":"2015-01-15T00:00:00Z","timestamp":1421280000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical Respiratory J"],"published-print":{"date-parts":[[2016,7]]},"abstract":"Abstract<\/jats:title>Background<\/jats:title>Monitoring respiration is important in several medical applications. One such application is respiratory rate monitoring in patients with sleep apnoea. The respiratory rate in patients with sleep apnoea disorder is irregular compared with the controls. Respiratory phase detection is required for a proper monitoring of respiration in patients with sleep apnoea.<\/jats:p><\/jats:sec>Aims<\/jats:title>To develop a model to detect the respiratory phases present in the pulmonary acoustic signals and to evaluate the performance of the model in detecting the respiratory phases.<\/jats:p><\/jats:sec>Methods<\/jats:title>Normalised averaged power spectral density for each frame and change in normalised averaged power spectral density between the adjacent frames were fuzzified and fuzzy rules were formulated. The fuzzy inference system (FIS<\/jats:styled-content>) was developed with both M<\/jats:styled-content>amdani and S<\/jats:styled-content>ugeno methods. To evaluate the performance of both M<\/jats:styled-content>amdani and S<\/jats:styled-content>ugeno methods, correlation coefficient and root mean square error (RMSE<\/jats:styled-content>) were calculated.<\/jats:p><\/jats:sec>Results<\/jats:title>In the correlation coefficient analysis in evaluating the fuzzy model using M<\/jats:styled-content>amdani and S<\/jats:styled-content>ugeno method, the strength of the correlation was found to be r<\/jats:italic>\u2009=\u20090.9892 and r<\/jats:italic>\u2009=\u20090.9964, respectively. The RMSE<\/jats:styled-content> for M<\/jats:styled-content>amdani and S<\/jats:styled-content>ugeno methods are RMSE<\/jats:styled-content>\u2009=\u20090.0853 and RMSE<\/jats:styled-content>\u2009=\u20090.0817, respectively.<\/jats:p><\/jats:sec>Conclusion<\/jats:title>The correlation coefficient and the RMSE<\/jats:styled-content> of the proposed fuzzy models in detecting the respiratory phases reveals that S<\/jats:styled-content>ugeno method performs better compared with the M<\/jats:styled-content>amdani method.<\/jats:p><\/jats:sec>","DOI":"10.1111\/crj.12250","type":"journal-article","created":{"date-parts":[[2014,12,17]],"date-time":"2014-12-17T03:45:14Z","timestamp":1418787914000},"page":"486-494","source":"Crossref","is-referenced-by-count":10,"title":["A novel approach to detect respiratory phases from pulmonary acoustic signals using normalised power spectral density and fuzzy inference system"],"prefix":"10.1111","volume":"10","author":[{"given":"Rajkumar","family":"Palaniappan","sequence":"first","affiliation":[{"name":"AI\u2010Rehab Research Group Universiti Malaysia Perlis Arau Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenneth","family":"Sundaraj","sequence":"additional","affiliation":[{"name":"AI\u2010Rehab Research Group Universiti Malaysia Perlis Arau Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Sundaraj","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology Klang General Hospital Klang Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Huliraj","sequence":"additional","affiliation":[{"name":"Department of Pulmonary Medicine Kempegowda Institute of Medical Sciences Bangalore India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.S.","family":"Revadi","sequence":"additional","affiliation":[{"name":"Department of Pulmonary Medicine Kempegowda Institute of Medical Sciences Bangalore India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2015,1,15]]},"reference":[{"issue":"4","key":"e_1_2_6_2_1","doi-asserted-by":"crossref","first-page":"323","DOI":"10.3233\/THC-2004-12404","article-title":"An improved bioacoustic method for monitoring of respiration","volume":"12","author":"Hult P","year":"2004","journal-title":"Technol Health Care"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02348078"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.5694\/j.1326-5377.2008.tb01825.x"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2013.07.001"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-009-0518-0"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2044.1986.tb12966.x"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01132363"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32183-2_57"},{"key":"e_1_2_6_10_1","unstructured":"MazeikaGG SwansonRRespiratory inductance plethysmography an introduction Mukilteo: Pro\u2010Tech services.2007[updated 2007; 1\u201313]. 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