245 related articles for article (PubMed ID: 30440703)
1. Detection of Respiratory Crackle Sounds via an Android Smartphone-based System.
Olvera-Montes N; Reyes B; Charleston-Villalobos S; Gonzalez-Camarena R; MejiaAvila M; Dorantes-Mendez G; Reulecke S; Aljama-Corrales TA
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1620-1623. PubMed ID: 30440703
[TBL] [Abstract][Full Text] [Related]
2. A Smartphone-Based System for Automated Bedside Detection of Crackle Sounds in Diffuse Interstitial Pneumonia Patients.
Reyes BA; Olvera-Montes N; Charleston-Villalobos S; González-Camarena R; Mejía-Ávila M; Aljama-Corrales T
Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30405036
[TBL] [Abstract][Full Text] [Related]
3. Acoustic thoracic image of crackle sounds using linear and nonlinear processing techniques.
Charleston-Villalobos S; Dorantes-Méndez G; González-Camarena R; Chi-Lem G; Carrillo JG; Aljama-Corrales T
Med Biol Eng Comput; 2011 Jan; 49(1):15-24. PubMed ID: 20652429
[TBL] [Abstract][Full Text] [Related]
4. Comprehensive Analysis System for Automated Respiratory Cycle Segmentation and Crackle Peak Detection.
McLane I; Lauwers E; Stas T; Busch-Vishniac I; Ides K; Verhulst S; Steckel J
IEEE J Biomed Health Inform; 2022 Apr; 26(4):1847-1860. PubMed ID: 34705660
[TBL] [Abstract][Full Text] [Related]
5. Crackles detection using a time-variant autoregressive model.
Dorantes-Méndez G; Charleston-Villalobos S; González-Camarena R; Chi-Lem G; Carrillo JG; Aljama-Corrales T
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1894-7. PubMed ID: 19163059
[TBL] [Abstract][Full Text] [Related]
6. Elimination of vesicular sounds from pulmonary crackle waveforms.
Yeginer M; Kahya YP
Comput Methods Programs Biomed; 2008 Jan; 89(1):1-13. PubMed ID: 18023914
[TBL] [Abstract][Full Text] [Related]
7. Assessment of ICA algorithms for the analysis of crackles sounds.
Castañeda-Villa N; Charleston-Villalobos S; González-Camarena R; Aljama-Corrales T
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():605-8. PubMed ID: 23365965
[TBL] [Abstract][Full Text] [Related]
8. Instantaneous frequency based index to characterize respiratory crackles.
Speranza CG; Moraes R
Comput Biol Med; 2018 Nov; 102():21-29. PubMed ID: 30240835
[TBL] [Abstract][Full Text] [Related]
9. Analysis of discontinuous adventitious lung sounds by Hilbert-Huang spectrum.
Reyes BA; Charleston-Villalobos S; Gonzalez-Camarena R; Aljama-Corrales T
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3620-3. PubMed ID: 19163493
[TBL] [Abstract][Full Text] [Related]
10. Imaging of simulated crackle sounds distribution on the chest.
Dorantes-Mendez G; Charleston-Villalobos S; Gonzalez-Camarena R; Chi-Lem G; Aljama-Corrales T
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4801-4. PubMed ID: 19163790
[TBL] [Abstract][Full Text] [Related]
11. Development of a Smartphone App for Visualizing Heart Sounds and Murmurs.
Mamorita N; Arisaka N; Isonaka R; Kawakami T; Takeuchi A
Cardiology; 2017; 137(3):193-200. PubMed ID: 28441656
[TBL] [Abstract][Full Text] [Related]
12. Resonance based respiratory sound decomposition aiming at localization of crackles in noisy measurements.
Ulukaya S; Serbes G; Kahya YP
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3688-3691. PubMed ID: 28269094
[TBL] [Abstract][Full Text] [Related]
13. [New classification and analysis of lung sounds].
Kikuchi K; Watanabe M; Hashizume T; Kawamura M; Kato R; Kobayashi K; Ishihara T
Nihon Kyobu Geka Gakkai Zasshi; 1989 Dec; 37(12):2532-7. PubMed ID: 2625566
[TBL] [Abstract][Full Text] [Related]
14. Methods for Adventitious Respiratory Sound Analyzing Applications Based on Smartphones: A Survey.
Tabatabaei SAH; Fischer P; Schneider H; Koehler U; Gross V; Sohrabi K
IEEE Rev Biomed Eng; 2021; 14():98-115. PubMed ID: 32746364
[TBL] [Abstract][Full Text] [Related]
15. Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds.
Chen CH; Huang WT; Tan TH; Chang CC; Chang YJ
Sensors (Basel); 2015 Jun; 15(6):13132-58. PubMed ID: 26053756
[TBL] [Abstract][Full Text] [Related]
16. Digital stethoscopes compared to standard auscultation for detecting abnormal paediatric breath sounds.
Kevat AC; Kalirajah A; Roseby R
Eur J Pediatr; 2017 Jul; 176(7):989-992. PubMed ID: 28508991
[TBL] [Abstract][Full Text] [Related]
17. Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination.
Grzywalski T; Piecuch M; Szajek M; Bręborowicz A; Hafke-Dys H; Kociński J; Pastusiak A; Belluzzo R
Eur J Pediatr; 2019 Jun; 178(6):883-890. PubMed ID: 30927097
[TBL] [Abstract][Full Text] [Related]
18. Lung Auscultation Using the Smartphone-Feasibility Study in Real-World Clinical Practice.
Ferreira-Cardoso H; Jácome C; Silva S; Amorim A; Redondo MT; Fontoura-Matias J; Vicente-Ferreira M; Vieira-Marques P; Valente J; Almeida R; Fonseca JA; Azevedo I
Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300670
[TBL] [Abstract][Full Text] [Related]
19. Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach.
Sreejyothi S; Renjini A; Raj V; Swapna MNS; Sankararaman SI
J Biol Phys; 2021 Jun; 47(2):103-115. PubMed ID: 33905049
[TBL] [Abstract][Full Text] [Related]
20. Feature extraction for pulmonary crackle representation via wavelet networks.
Yeginer M; Kahya YP
Comput Biol Med; 2009 Aug; 39(8):713-21. PubMed ID: 19539902
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]