Annals of Thoracic Medicine Official publication of the Saudi Thoracic Society, affiliated to King Saud University
 
Search Ahead of print Current Issue Archives Instructions Subscribe e-Alerts Login 
Home Email this article link Print this article Bookmark this page Decrease font size Default font size Increase font size
This article has been cited by
1Wheezy children
Paulina Cecula,Ioanna Zimianiti
InnovAiT: Education and inspiration for general practice.2021;14(9)557
[DOI]
2Wheezy children
Chang Sheng Lee,Minghui Li,Yaolong Lou,Ravinder Dahiya
InnovAiT: Education and inspiration for general practice.2023;14(9)01
[DOI]
3Phase portrait for high fidelity feature extraction and classification: A surrogate approach
A. Renjini,Vimal Raj,M. S. Swapna,S. Sreejyothi,S. Sankararaman
Chaos: An Interdisciplinary Journal of Nonlinear Science.2020;30(11)113122
[DOI]
4Remote Speech Analysis in the Evaluation of Hospitalized Patients With Acute Decompensated Heart Failure
Offer Amir,William T. Abraham,Zaher S. Azzam,Gidon Berger,Stefan D. Anker,Sean P. Pinney,Daniel Burkhoff,Ilan D. Shallom,Chaim Lotan,Elazer R. Edelman
JACC: Heart Failure.2022;10(1)41
[DOI]
5Computerized respiratory sounds in paediatrics: A systematic review
Verónica Abreu,Ana Oliveira,José Alberto Duarte,Alda Marques
Respiratory Medicine: X.2021;3(1)100027
[DOI]
6Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation
Vimal Raj,A. Renjini,M.S. Swapna,S. Sreejyothi,S. Sankararaman
Chaos, Solitons & Fractals.2020;140(1)110246
[DOI]
7Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders
Pranav Gupta,Haoran Wen,Lorenzo Di Francesco,Farrokh Ayazi
Scientific Reports.2021;11(1)110246
[DOI]
8Feasibility of remote speech analysis in evaluation of dynamic fluid overload in heart failure patients undergoing haemodialysis treatment
Offer Amir,Stefan D. Anker,Ittamar Gork,William T. Abraham,Sean P. Pinney,Daniel Burkhoff,Ilan D. Shallom,Ronit Haviv,Elazer R. Edelman,Chaim Lotan
ESC Heart Failure.2021;8(4)2467
[DOI]
9A review on remote health monitoring sensors and their filtering techniques
Divya Sri Rajeswari,Hitha Shree J,Ananya L.N. Simha,Maria Nuzhath Subhani,Shivaleelavathi B G,Veeramma Yatnalli
Global Transitions Proceedings.2021;2(2)392
[DOI]
10A review on remote health monitoring sensors and their filtering techniques
Upasana Tiwari,Swapnil Bhosale,Rupayan Chakraborty,Sunil Kumar Kopparapu
Global Transitions Proceedings.2021;2(2)1305
[DOI]
11Clinical characteristics of COVID-19 patients evaluated in the emergency department: A retrospective cohort study of 801 cases
Dale M. Cotton,Liyan Liu,David R. Vinson,Dustin W. Ballard,Dana R. Sax,Erik R. Hofmann,James S. Lin,Edward J. Durant,Mamata V. Kene,Scott D. Casey,Meena Ghiya,Judy Shan,Sean C. Bouvet,Ian D. McLachlan,Adina S. Rauchwerger,Dustin G. Mark,Mary E. Reed
Journal of the American College of Emergency Physicians Open.2021;2(4)1305
[DOI]
12Lung Health Analysis: Adventitious Respiratory Sound Classification Using Filterbank Energies
Himadri Mukherjee,Hanan Salam,KC Santosh
International Journal of Pattern Recognition and Artificial Intelligence.2021;35(14)1305
[DOI]
13A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images
Unais Sait,Gokul Lal K.V.,Sanjana Shivakumar,Tarun Kumar,Rahul Bhaumik,Sunny Prajapati,Kriti Bhalla,Anaghaa Chakrapani
Applied Soft Computing.2021;109(14)107522
[DOI]
14A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images
Lei Xu,Jianhong Cheng,Jin Liu,Hulin Kuang,Fan Wu,Jianxin Wang
Applied Soft Computing.2021;109(14)1125
[DOI]
15Respiratory system
Barry Matthews,Kacper Sumera
Journal of Paramedic Practice.2020;12(8)1
[DOI]
16Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory
M. Fraiwan,L. Fraiwan,M. Alkhodari,O. Hassanin
Journal of Ambient Intelligence and Humanized Computing.2022;13(10)4759
[DOI]
17Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory
S. Jayalakshmy,Lakshmi Priya,Gnanou Florence Sudha
Journal of Ambient Intelligence and Humanized Computing.2021;13(10)161
[DOI]
18Fatores preditores do diagnóstico de enfermagem padrão respiratório ineficaz em pacientes de uma unidade de terapia intensiva
Patricia Rezende do Prado,Ana Rita de Cássia Bettencourt,Juliana de Lima Lopes
Revista Latino-Americana de Enfermagem.2019;27(10)161
[DOI]
19Headache, Fever, and Myalgias in an HIV-Positive Male with a History of Tuberculosis: Epstein–Barr Virus Aseptic Meningitis
Loukas Kakoullis,Claudia Hentschel,Robert Colgrove
Tropical Medicine and Infectious Disease.2023;8(4)191
[DOI]
20Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm
Nishi Shahnaj Haider,Bikesh Kumar Singh,R. Periyasamy,Ajoy K. Behera
Journal of Medical Systems.2019;43(8)191
[DOI]
21Locating stridor caused by tumor compression by using a multichannel electronic stethoscope: a case report
Fushun Hsu,Cheng-Hung How,Shang-Ran Huang,Yi-Tsun Chen,Jin-Shing Chen,Ho-Tsung Hsin
Journal of Clinical Monitoring and Computing.2021;35(3)663
[DOI]
22Stretchable graded multichannel self-powered respiratory sensor inspired by shark gill
Yang Zou,Yansong Gai,Puchuan Tan,Dongjie Jiang,Xuecheng Qu,Jiangtao Xue,Han Ouyang,Bojing Shi,Linlin Li,Dan Luo,Yulin Deng,Zhou Li,Zhong Lin Wang
Fundamental Research.2022;2(4)619
[DOI]
23A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases
Arka Roy,Udit Satija
IEEE Transactions on Instrumentation and Measurement.2023;72(4)1
[DOI]
24Determining Obstruction in Endotracheal Tubes Using Physical Respiratory Signals
Hyunkyoo Kang,Jin-Kyung Park,Jinsu An,Jeong-Han Yi,Hyung-Sik Kim
Applied Sciences.2023;13(7)4183
[DOI]
25Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers
Luay Fraiwan,Omnia Hassanin,Mohammad Fraiwan,Basheer Khassawneh,Ali M. Ibnian,Mohanad Alkhodari
Biocybernetics and Biomedical Engineering.2021;41(1)1
[DOI]
26Use of accelerometers for automatic regional chest movement recognition during tidal breathing in healthy subjects
Carlos De la Fuente,Alejandro Weinstein,Rodrigo Guzman-Venegas,Juan Arenas,Jorge Cartes,Marcos Soto,Felipe P. Carpes
Journal of Electromyography and Kinesiology.2019;47(1)105
[DOI]
27A Novel Method for Automatic Identification of Breathing State
Jinglong Niu,Maolin Cai,Yan Shi,Shuai Ren,Weiqing Xu,Wei Gao,Zujin Luo,Joseph M. Reinhardt
Scientific Reports.2019;9(1)105
[DOI]
28A Novel Method for Automatic Identification of Breathing State
Taisa Daiana da Costa,Maria de Fatima Fernandes Vara,Camila Santos Cristino,Tyene Zoraski Zanella,Guilherme Nunes Nogueira Neto,Percy Nohama
Scientific Reports.2019;9(1)105
[DOI]
29A Novel Method for Automatic Identification of Breathing State
G. Vonk Noordegraaf-Roseboom,L. M. M. J. Crombag,L. N. A. Willems
Scientific Reports.2022;9(1)187
[DOI]
30A Novel Method for Automatic Identification of Breathing State
Lam Pham,Ian McLoughlin,Huy Phan,Minh Tran,Truc Nguyen,Ramaswamy Palaniappan
Scientific Reports.2020;9(1)164
[DOI]
31Hybrid Nelder-Mead search based optimal Least Mean Square algorithms for heart and lung sound separation
Ruban Nersisson,Mathew M. Noel
Engineering Science and Technology, an International Journal.2017;20(3)1054
[DOI]
32Hybrid Nelder-Mead search based optimal Least Mean Square algorithms for heart and lung sound separation
S. Jayalakshmy,B.Lakshmi Priya,N. Kavya
Engineering Science and Technology, an International Journal.2020;20(3)1
[DOI]
33Hybrid Nelder-Mead search based optimal Least Mean Square algorithms for heart and lung sound separation
N. Jakovljevic,T. Loncar-Turukalo
Engineering Science and Technology, an International Journal.2018;66(3)39
[DOI]
34A novel wheezing detection approach based on constrained non-negative matrix factorization
J. Torre-Cruz,F. Canadas-Quesada,J. Carabias-Orti,P. Vera-Candeas,N. Ruiz-Reyes
Applied Acoustics.2019;148(3)276
[DOI]
35Precision wearable accelerometer contact microphones for longitudinal monitoring of mechano-acoustic cardiopulmonary signals
Pranav Gupta,Mohammad J. Moghimi,Yaesuk Jeong,Divya Gupta,Omer T. Inan,Farrokh Ayazi
npj Digital Medicine.2020;3(1)276
[DOI]
36Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques
Jinglong Niu,Yan Shi,Maolin Cai,Zhixin Cao,Dandan Wang,Zhaozhi Zhang,Xiaohua Douglas Zhang,Robert Murphy
Bioinformatics.2018;34(5)820
[DOI]
37Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques
Konstantinos Douros,Vasilis Grammeniatis,Ioanna Loukou
Bioinformatics.2018;34(5)225
[DOI]
38Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
Shuqi Liu,Wei Shao,Tan Li,Weitao Xu,Linqi Song
Digital Signal Processing.2022;125(5)103120
[DOI]
39Comparing accuracy of bedside ultrasound examination with physical examination for detection of pleural effusion
Michael H. Walsh,Kang X. Zhang,Emily J. Cox,Justin M. Chen,Nicholas G. Cowley,Christopher J. Oleynick,Leo M. Smyth,Irene W. Y. Ma
The Ultrasound Journal.2021;13(1)103120
[DOI]
40An open access database for the evaluation of respiratory sound classification algorithms
Bruno M Rocha,Dimitris Filos,Luís Mendes,Gorkem Serbes,Sezer Ulukaya,Yasemin P Kahya,Nikša Jakovljevic,Tatjana L Turukalo,Ioannis M Vogiatzis,Eleni Perantoni,Evangelos Kaimakamis,Pantelis Natsiavas,Ana Oliveira,Cristina Jácome,Alda Marques,Nicos Maglaveras,Rui Pedro Paiva,Ioanna Chouvarda,Paulo de Carvalho
Physiological Measurement.2019;40(3)035001
[DOI]
41Respiratory sound denoising using sparsity-assisted signal smoothing algorithm
Nishi Shahnaj Haider,Ajoy K. Behera
Biocybernetics and Biomedical Engineering.2022;42(2)481
[DOI]
42Pericarditis: diagnosis and management
Luminita-Bianca GROSU,Andra Ioana NUTA,Raluca-Ioana DASCALU,Victoria-Madalina MIHAESCU,Camelia Cristina DIACONU
Annals of the Academy of Romanian Scientists Series of Medicine.2022;3(2)21
[DOI]
43Pericarditis: diagnosis and management
Muhammad Faiz Shakhih,Ridzuan Nursyazana,Abdul Wahab Asnida,Mohamad Salim Maheza Irna
Annals of the Academy of Romanian Scientists Series of Medicine.2018;3(2)181
[DOI]
44Computerized acoustical techniques for respiratory flow-sound analysis: a systematic review
Priya Devi Muthusamy,Kenneth Sundaraj,Nurulfajar Abd Manap
Artificial Intelligence Review.2020;53(5)3501
[DOI]
45Incorporating support vector machine to the classification of respiratory sounds by Convolutional Neural Network
Funda Cinyol,Ugur Baysal,Deniz Köksal,Elif Babaoglu,Sevinç Sarinç Ulasli
Biomedical Signal Processing and Control.2023;79(5)104093
[DOI]
46Explainable CNN With Fuzzy Tree Regularization for Respiratory Sound Analysis
Jianqiang Li,Cheng Wang,Jie Chen,Heng Zhang,Yuyan Dai,Lingwei Wang,Li Wang,Asoke K. Nandi
IEEE Transactions on Fuzzy Systems.2022;30(6)1516
[DOI]
47Trakea Yerlesimli Adenoid Kistik Karsinom: Olgu Sunumu
Deniz KÜTRI,Alaattin ÖZEN,Suzan SAYLISOY
Mugla Sitki Koçman Üniversitesi Tip Dergisi.2021;30(6)1516
[DOI]
48Trakea Yerlesimli Adenoid Kistik Karsinom: Olgu Sunumu
Nabila Husna Mohd Johari,Noreha Abdul Malik,Khairul Azami Sidek
Mugla Sitki Koçman Üniversitesi Tip Dergisi.2018;30(6)476
[DOI]
49Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study
Alban Glangetas,Mary-Anne Hartley,Aymeric Cantais,Delphine S. Courvoisier,David Rivollet,Deeksha M. Shama,Alexandre Perez,Hervé Spechbach,Véronique Trombert,Stéphane Bourquin,Martin Jaggi,Constance Barazzone-Argiroffo,Alain Gervaix,Johan N. Siebert
BMC Pulmonary Medicine.2021;21(1)476
[DOI]
50OMARC: An online multimedia application for training health care providers in the assessment of respiratory conditions
Oscar Meruvia-Pastor,Pranjal Patra,Karen Andres,Creina Twomey,Lourdes Peña-Castillo
International Journal of Medical Informatics.2016;89(1)15
[DOI]
51OMARC: An online multimedia application for training health care providers in the assessment of respiratory conditions
Diego Perna,Andrea Tagarelli
International Journal of Medical Informatics.2019;89(1)50
[DOI]
52Electronic Stethoscope Design
Mustafa Berkant Selek,Mert Can Duyar,Yalcin Isler
Journal of Intelligent Systems with Applications.2020;89(1)10
[DOI]
53Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition
Rizwana Zulfiqar,Fiaz Majeed,Rizwana Irfan,Hafiz Tayyab Rauf,Elhadj Benkhelifa,Abdelkader Nasreddine Belkacem
Frontiers in Medicine.2021;8(1)10
[DOI]
54Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition
Liqun Wu,Ling Li
Frontiers in Medicine.2020;8(1)768
[DOI]
55A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram
Samiul Based Shuvo,Shams Nafisa Ali,Soham Irtiza Swapnil,Taufiq Hasan,Mohammed Imamul Hassan Bhuiyan
IEEE Journal of Biomedical and Health Informatics.2021;25(7)2595
[DOI]
56Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique
Sezer Ulukaya,Gorkem Serbes,Yasemin P. Kahya
Computers in Biology and Medicine.2019;104(7)175
[DOI]
57Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database—HF_Lung_V1
Fu-Shun Hsu,Shang-Ran Huang,Chien-Wen Huang,Chao-Jung Huang,Yuan-Ren Cheng,Chun-Chieh Chen,Jack Hsiao,Chung-Wei Chen,Li-Chin Chen,Yen-Chun Lai,Bi-Fang Hsu,Nian-Jhen Lin,Wan-Ling Tsai,Yi-Lin Wu,Tzu-Ling Tseng,Ching-Ting Tseng,Yi-Tsun Chen,Feipei Lai,Thippa Reddy Gadekallu
PLOS ONE.2021;16(7)e0254134
[DOI]
58Time series and fractal analyses of wheezing: a novel approach
M. S. Swapna,A. Renjini,Vimal Raj,S. Sreejyothi,S. Sankararaman
Physical and Engineering Sciences in Medicine.2020;43(4)1339
[DOI]
59Mouth Sounds: A Review of Acoustic Applications and Methodologies
Norberto E. Naal-Ruiz,Erick A. Gonzalez-Rodriguez,Gustavo Navas-Reascos,Rebeca Romo-De Leon,Alejandro Solorio,Luz M. Alonso-Valerdi,David I. Ibarra-Zarate
Applied Sciences.2023;13(7)4331
[DOI]
60Stethoscope-Sensed Speech and Breath-Sounds for Person Identification With Sparse Training Data
Van-Thuan Tran,Wei-Ho Tsai
IEEE Sensors Journal.2020;20(2)848
[DOI]
61Stethoscope-Sensed Speech and Breath-Sounds for Person Identification With Sparse Training Data
Lasya Nayani Bhatta,Sai Manoj Bhatta,Naregalkar Akshay
IEEE Sensors Journal.2022;20(2)506
[DOI]
62Accuracy of chest auscultation in detecting abnormal respiratory mechanics in the immediate postoperative period after cardiac surgery
Glaciele Xavier,César Augusto Melo-Silva,Carlos Eduardo Ventura Gaio dos Santos,Veronica Moreira Amado
Jornal Brasileiro de Pneumologia.2019;45(5)506
[DOI]
63Pilot study on nocturnal monitoring of crackles in children with pneumonia
Wilfried Nikolaizik,Lisa Wuensch,Monika Bauck,Volker Gross,Keywan Sohrabi,Andreas Weissflog,Olaf Hildebrandt,Ulrich Koehler,Stefanie Weber
ERJ Open Research.2021;7(4)00284-2021
[DOI]
64Interpretation of lung disease classification with light attention connected module
Youngjin Choi,Hongchul Lee
Biomedical Signal Processing and Control.2023;84(4)104695
[DOI]
65Interpretation of lung disease classification with light attention connected module
Thomas Riegler
Biomedical Signal Processing and Control.2022;84(4)201
[DOI]
66Exercise-Associated Dyspnea and Stridor: Thinking Beyond Asthma
James H. Hull,Krystelle Godbout,Louis-Philippe Boulet
The Journal of Allergy and Clinical Immunology: In Practice.2020;8(7)2202
[DOI]
67Exercise-Associated Dyspnea and Stridor: Thinking Beyond Asthma
Jinglong Niu,Yan Shi,Dongkai Shen,Yixuan Wang,Weiqing Xu,Maolin Cai,Yunhua Li
The Journal of Allergy and Clinical Immunology: In Practice.2018;8(7)1166
[DOI]
68Exercise-Associated Dyspnea and Stridor: Thinking Beyond Asthma
Q. Zhang,C.O. Francisco,M. Kabir,J. Zhang,N. Montazeri,Babak Taati,A. Yadollahi
The Journal of Allergy and Clinical Immunology: In Practice.2019;8(7)4650
[DOI]
69Regularity and mechanism of fake crackle noise in an electronic stethoscope
Peitao Ye,Qiasheng Li,Wenhua Jian,Shuyi Liu,Lunfang Tan,Wenya Chen,Dongying Zhang,Jinping Zheng
Frontiers in Physiology.2022;13(7)4650
[DOI]
70The effects of simple graphical and mental visualization of lung sounds in teaching lung auscultation during clinical clerkship: A preliminary study
Ayaka Kuriyama,Hajime Kasai,Kiyoshi Shikino,Yuki Shiko,Chiaki Kawame,Kenichiro Takeda,Hiroshi Tajima,Nami Hayama,Takuji Suzuki,Shoichi Ito,Ayse Hilal Bati
PLOS ONE.2023;18(3)e0282337
[DOI]
71Acute chest syndrome in adult patients with sickle cell disease: The relationship with the time to onset after hospital admission
Geoffrey Cheminet,Antoine Brunetti,Djamal Khimoud,Brigitte Ranque,Adrien Michon,Edouard Flamarion,Jacques Pouchot,Anne-Sophie Jannot,Jean-Benoît Arlet
British Journal of Haematology.2023;18(3)e0282337
[DOI]
72Respiratory sound denoising using Empirical Mode Decomposition, Hurst analysis and Spectral Subtraction
Nishi Shahnaj Haider
Biomedical Signal Processing and Control.2021;64(3)102313
[DOI]
73APPLICATION OF THE NEURAL NETWORK TECHNOLOGY FOR DETECTION AND MONITORING OF AUSCULTATIVE PHENOMENA IN DIAGNOSIS AND TREATMENT OF DISEASES OF THE RESPIRATORY SYSTEM
E. A. Lapteva,I. V. Kovalenko,A. N. Laptev,E. I. Katibnikova,A. S. Pozdnyakova,V. S. Korovkin,O. N. Kharevich,I. M. Lapteva,O. L. Goreniuk,M. S. Elzhbur,O. P. Ermolenko,M. I. Zhurovitch,I. P. Dulup,A. A. Karankevich,M. N. Zyabko,E. A. Binetskaya,Yu. Yu. Narushevich,V. V. Dubinetsky
Journal of the Grodno State Medical University.2020;18(3)230
[DOI]
74Untangling the graph based features for lung sound auscultation
S. Sankararaman
Biomedical Signal Processing and Control.2022;71(3)103215
[DOI]
75Classification of lung sounds using scalogram representation of sound segments and convolutional neural network
Huong Pham Thi Viet,Huyen Nguyen Thi Ngoc,Vu Tran Anh,Huy Hoang Quang
Journal of Medical Engineering & Technology.2022;46(4)270
[DOI]
76A Rare Case of Pulmonary Cavitary Disease Caused by Mycobacterium xenopi
Megha Dogra,Manish Thakur,Garima Thakur,Amrat Kumar
Cureus.2023;46(4)270
[DOI]
77Critical analysis of spirometric patterns in correlation to chest computed tomography among adult Indigenous Australians with chronic airway diseases
Subash S Heraganahally,Timothy Howarth,Lin Mo,Lisa Sorger,Helmi Ben Saad
Expert Review of Respiratory Medicine.2021;15(9)1229
[DOI]
78Scalogram based prediction model for respiratory disorders using optimized convolutional neural networks
S. Jayalakshmy,Gnanou Florence Sudha
Artificial Intelligence in Medicine.2020;103(9)101809
[DOI]
79Automatic adventitious respiratory sound analysis: A systematic review
Renard Xaviero Adhi Pramono,Stuart Bowyer,Esther Rodriguez-Villegas,Thomas Penzel
PLOS ONE.2017;12(5)e0177926
[DOI]
80Bioacoustic signal analysis through complex network features
Vimal Raj,M.S. Swapna,S. Sankararaman
Computers in Biology and Medicine.2022;145(5)105491
[DOI]
81A constrained tonal semi-supervised non-negative matrix factorization to classify presence/absence of wheezing in respiratory sounds
J. Torre-Cruz,F. Canadas-Quesada,S. García-Galán,N. Ruiz-Reyes,P. Vera-Candeas,J. Carabias-Orti
Applied Acoustics.2020;161(5)107188
[DOI]
82Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases
Timothy Albiges,Zoheir Sabeur,Banafshe Arbab-Zavar
Sensors.2023;23(3)1439
[DOI]
83Computerized lung sound based classification of asthma and chronic obstructive pulmonary disease (COPD)
Nishi Shahnaj Haider,A.K. Behera
Biocybernetics and Biomedical Engineering.2022;42(1)42
[DOI]
84Development of a Collaborative Robotic Platform for Autonomous Auscultation
Daniel Lopes,Luís Coelho,Manuel F. Silva
Applied Sciences.2023;13(3)1604
[DOI]
85Development of a Collaborative Robotic Platform for Autonomous Auscultation
B. M. Rocha,L. Mendes,I. Chouvarda,P. Carvalho,R. P. Paiva
Applied Sciences.2018;66(3)51
[DOI]
86Development of a Collaborative Robotic Platform for Autonomous Auscultation
Anjali Yadav,Malay Kishore Dutta,Jiri Prinosil
Applied Sciences.2020;66(3)545
[DOI]
87Development of a Collaborative Robotic Platform for Autonomous Auscultation
M. G. Manisha Milani,Murugaiya Ramashini,Krishani Murugiah,Lanka Geeganage Shamaan Chamal
Applied Sciences.2021;66(3)71
[DOI]
88Variety of verbal and amplitude-frequency characteristics of wheezing in patients with bronchial asthma, depending on the severity of bronchial obstruction and shortness of breath
S. I. Glotov,Yu. Yu. Byalovskiy,L. A. Zhukova,I. B. Ponomareva,B. M. Fares
PULMONOLOGIYA.2020;30(6)750
[DOI]
89Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization
Juan De La Torre Cruz,Francisco Jesús Cañadas Quesada,Nicolás Ruiz Reyes,Sebastián García Galán,Julio José Carabias Orti,Gerardo Peréz Chica
Sensors.2021;21(5)1661
[DOI]
90Mechanism of Dandelion Sterol in Treating Pulmonary Fibrosis Through Transforming Growth Factor-ß Signaling Pathway
Qun Lv,Jianjun Wang,Zhaoyang Ruan
Journal of Biomaterials and Tissue Engineering.2021;11(4)612
[DOI]
91Mechanism of Dandelion Sterol in Treating Pulmonary Fibrosis Through Transforming Growth Factor-ß Signaling Pathway
K. Anusha Bhavani,L. Sujitha
Journal of Biomaterials and Tissue Engineering.2021;11(4)1
[DOI]
92Mechanism of Dandelion Sterol in Treating Pulmonary Fibrosis Through Transforming Growth Factor-ß Signaling Pathway
Michele Lo Giudice,Nadia Mammone,Cosimo Ieracitano,Umberto Aguglia,Danilo Mandic,Francesco Carlo Morabito
Journal of Biomaterials and Tissue Engineering.2022;1724(4)391
[DOI]
93Congenital Vallecular Cyst as a Cause of Neonatal Stridor and Apnea
J. Marshall Oelsen,Kathryn M. Hewett,Christopher M. Discolo,Benjamin F. Jackson
Pediatric Emergency Care.2018;34(8)e152
[DOI]
94Congenital Vallecular Cyst as a Cause of Neonatal Stridor and Apnea
Soujanya Chatterjee,Md Mahbubur Rahman,Tousif Ahmed,Nazir Saleheen,Ebrahim Nemati,Viswam Nathan,Korosh Vatanparvar,Jilong Kuang
Pediatric Emergency Care.2020;34(8)1
[DOI]
95Lung Sound Classification Using Co-Tuning and Stochastic Normalization
Truc Nguyen,Franz Pernkopf
IEEE Transactions on Biomedical Engineering.2022;69(9)2872
[DOI]
96Novel approach to continuous adventitious respiratory sound analysis for the assessment of bronchodilator response
Manuel Lozano-García,José Antonio Fiz,Carlos Martínez-Rivera,Aurora Torrents,Juan Ruiz-Manzano,Raimon Jané,Gernot Zissel
PLOS ONE.2017;12(2)e0171455
[DOI]
97SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database
Qing Zhang,Jing Zhang,Jiajun Yuan,Huajie Huang,Yuhang Zhang,Baoqin Zhang,Gaomei Lv,Shuzhu Lin,Na Wang,Xin Liu,Mingyu Tang,Yahua Wang,Hui Ma,Lu Liu,Shuhua Yuan,Hongyuan Zhou,Jian Zhao,Yongfu Li,Yong Yin,Liebin Zhao,Guoxing Wang,Yong Lian
IEEE Transactions on Biomedical Circuits and Systems.2022;16(5)867
[DOI]
98Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination
Tomasz Grzywalski,Mateusz Piecuch,Marcin Szajek,Anna Breborowicz,Honorata Hafke-Dys,Jedrzej Kocinski,Anna Pastusiak,Riccardo Belluzzo
European Journal of Pediatrics.2019;178(6)883
[DOI]
99High prevalence of exercise-induced stridor during Parkrun: a cross-sectional field-based evaluation
Joe Sails,James H Hull,Hayden Allen,Liam Darville,Emil S Walsted,Oliver J Price
BMJ Open Respiratory Research.2020;7(1)e000618
[DOI]
100Identification of Soft Tissue-Mimicking Materials and Application in the Characterization of Sensors for Lung Sounds
Paolo La Torraca,Ludovico Ausiello,Giorgio Zucchi,Angelo Farina,Fabrizio Pancaldi
IEEE Sensors Journal.2022;22(1)1012
[DOI]
101Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic
Xiaorong Ding,David Clifton,Nan Ji,Nigel H. Lovell,Paolo Bonato,Wei Chen,Xinge Yu,Zhong Xue,Ting Xiang,Xi Long,Ke Xu,Xinyu Jiang,Qi Wang,Bin Yin,Guodong Feng,Yuan-Ting Zhang
IEEE Reviews in Biomedical Engineering.2021;14(1)48
[DOI]
102Fr-WCSO- DRN: Fractional Water Cycle Swarm Optimizer-Based Deep Residual Network for Pulmonary Abnormality Detection from Respiratory Sound Signals
Jawad Ahmad Dar,Kamal Kr. Srivastava,Sajaad Ahmed Lone
SN Computer Science.2022;3(5)48
[DOI]
103An incremental algorithm based on multichannel non-negative matrix partial co-factorization for ambient denoising in auscultation
Juan De La Torre Cruz,Francisco Jesús Cañadas Quesada,Damián Martínez-Muñoz,Nicolás Ruiz Reyes,Sebastián García Galán,Julio José Carabias Orti
Applied Acoustics.2021;182(5)108229
[DOI]
104Bronchial asthma, wheezing, flatter: probable relationships
V. N. Abrosimov
PULMONOLOGIYA.2017;26(6)719
[DOI]
105Objective measurement of acoustic intensity of coughing for clearance of penetration and aspiration on video-fluoroscopy
Emma Wallace,Phoebe Macrae,Maggie-Lee Huckabee
International Journal of Speech-Language Pathology.2021;23(3)313
[DOI]
106Objective measurement of acoustic intensity of coughing for clearance of penetration and aspiration on video-fluoroscopy
Cheng Wang,Jianqiang Li,Jie Chen,Heng Zhang,Li Wang,Zun Liu
International Journal of Speech-Language Pathology.2021;23(3)19
[DOI]
107The coming era of a new auscultation system for analyzing respiratory sounds
Yoonjoo Kim,YunKyong Hyon,Sunju Lee,Seong-Dae Woo,Taeyoung Ha,Chaeuk Chung
BMC Pulmonary Medicine.2022;22(1)19
[DOI]
108Effect of wheeze and lung function on lung sound parameters in children with asthma
Takashi Sakama,Mami Ichinose,Takeru Obara,Mayuko Shibata,Takanori Kagawa,Hiromitsu Takakura,Kota Hirai,Hiroyuki Furuya,Masahiko Kato,Hiroyuki Mochizuki
Allergology International.2023;22(1)19
[DOI]
109Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning
Yoonjoo Kim,YunKyong Hyon,Sung Soo Jung,Sunju Lee,Geon Yoo,Chaeuk Chung,Taeyoung Ha
Scientific Reports.2021;11(1)19
[DOI]
110Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare
Norma Mallegni,Giovanna Molinari,Claudio Ricci,Andrea Lazzeri,Davide La Rosa,Antonino Crivello,Mario Milazzo
Biosensors.2022;12(10)835
[DOI]
111Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare
Truc Nguyen,Franz Pernkopf
Biosensors.2023;12(10)193
[DOI]
112Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare
Sowrav Chowdhury,A. B. M. S. U. Doulah,Mirza Rasheduzzaman
Biosensors.2022;12(10)1
[DOI]
113Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare
Nazir Saleheen,Tousif Ahmed,Md Mahbubur Rahman,Ebrahim Nemati,Viswam Nathan,Korosh Vatanparvar,Erin Blackstock,Jilong Kuang
Biosensors.2020;12(10)1
[DOI]
114Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare
Aditya Dhavala,Asif Ahmed,R Periyasamy,Deepak Joshi
Biosensors.2022;12(10)1
[DOI]
115An accurate deep learning model for wheezing in children using real world data
Beom Joon Kim,Baek Seung Kim,Jeong Hyeon Mun,Changwon Lim,Kyunghoon Kim
Scientific Reports.2022;12(1)1
[DOI]
116Accurate respiratory sound classification model based on piccolo pattern
Beyda Tasar,Orhan Yaman,Turker Tuncer
Applied Acoustics.2022;188(1)108589
[DOI]
117Extraction and Analysis of Respiratory Motion Using a Comprehensive Wearable Health Monitoring System
Uduak Z. George,Kee S. Moon,Sung Q. Lee
Sensors.2021;21(4)1393
[DOI]
118Extraction and Analysis of Respiratory Motion Using a Comprehensive Wearable Health Monitoring System
Diogo Pessoa,Bruno Machado Rocha,Paulo de Carvalho,Rui Pedro Paiva
Sensors.2022;21(4)123
[DOI]
119Extraction and Analysis of Respiratory Motion Using a Comprehensive Wearable Health Monitoring System
Jose Neto,Nicksson Arrais,Tiago Vinuto,Joao Lucena
Sensors.2022;21(4)97
[DOI]
120Extraction and Analysis of Respiratory Motion Using a Comprehensive Wearable Health Monitoring System
Clara M. Ionescu
Sensors.2019;21(4)163
[DOI]
121Assessment of inspiration and expiration time using infrared thermal imaging modality
Muhammad Faiz Md Shakhih,Asnida Abdul Wahab,Maheza Irna Mohamad Salim
Infrared Physics & Technology.2019;99(4)129
[DOI]
122Assessment of inspiration and expiration time using infrared thermal imaging modality
J. Torre-Cruz,F. Canadas-Quesada,P. Vera-Candeas,V. Montiel-Zafra,N. Ruiz-Reyes
Infrared Physics & Technology.2018;99(4)18
[DOI]
123Acoustic Methods for Pulmonary Diagnosis
Adam Rao,Emily Huynh,Thomas J. Royston,Aaron Kornblith,Shuvo Roy
IEEE Reviews in Biomedical Engineering.2019;12(4)221
[DOI]
124A Rare Case of Kostmann Syndrome Presenting Difficult Airway Challenges and Patient Preparedness for Anesthesiologists
Vamsi Krishna Uppalapati,Ashok Chattoraj,Deb Sanjay Nag,Himanshu Kumar,Sharad Kumar
Cureus.2022;12(4)221
[DOI]
125An ambient denoising method based on multi-channel non-negative matrix factorization for wheezing detection
Antonio J. Muñoz-Montoro,Pablo Revuelta-Sanz,Damian Martínez-Muñoz,Juan Torre-Cruz,José Ranilla
The Journal of Supercomputing.2023;79(2)1571
[DOI]
126An ambient denoising method based on multi-channel non-negative matrix factorization for wheezing detection
B. M. Rocha,D. Filos,L. Mendes,I. Vogiatzis,E. Perantoni,E. Kaimakamis,P. Natsiavas,A. Oliveira,C. Jácome,A. Marques,R. P. Paiva,I. Chouvarda,P. Carvalho,N. Maglaveras
The Journal of Supercomputing.2018;66(2)33
[DOI]
127An ambient denoising method based on multi-channel non-negative matrix factorization for wheezing detection
Nicola Barker,Heather Elphick
The Journal of Supercomputing.2018;66(2)237
[DOI]
128An ambient denoising method based on multi-channel non-negative matrix factorization for wheezing detection
Truc Nguyen,Franz Pernkopf
The Journal of Supercomputing.2021;66(2)80
[DOI]
129Lung auscultation: Pathogenic mechanisms underlying the respiratory sounds
G. P. Arutyunov,E. A. Kolesnikova,D. V. Polyakov,A. K. Rylova,M I. Korsunskaya
PULMONOLOGIYA.2022;32(1)118
[DOI]
130Lung auscultation: Pathogenic mechanisms underlying the respiratory sounds
Uzair Mayat,Fayez Qureshi,Saad Ahmed,Yashodhan Athavale,Sridhar Krishnan
PULMONOLOGIYA.2017;32(1)1
[DOI]
131Development of a Novel Wireless Multi-Channel Stethograph System for Monitoring Cardiovascular and Cardiopulmonary Diseases
Xingzhe Zhang,Dinesh Maddipatla,Binu B. Narakathu,Bradley J. Bazuin,Massood Z. Atashbar
IEEE Access.2021;9(1)128951
[DOI]
132Knowledge and skills in chest auscultation among nurses
Klaudia Majder,Pawel Wiech,Agnieszka Wojniak,Dariusz Bazalinski
Pielegniarstwo XXI wieku / Nursing in the 21st Century.2020;19(4)251
[DOI]
133Random Subset Feature Selection and Classification of Lung Sound
S. Don
Procedia Computer Science.2020;167(4)313
[DOI]
134Sputum deposition classification for mechanically ventilated patients using LSTM method based on airflow signals
Shuai Ren,Jinglong Niu,Maolin Cai,Yan Shi,Tao Wang,Zujin Luo
Heliyon.2022;8(12)e11929
[DOI]
135Assessment of Pulmonary Edema: Principles and Practice
Sherif Assaad,Wolf B. Kratzert,Benjamin Shelley,Malcolm B. Friedman,Albert Perrino
Journal of Cardiothoracic and Vascular Anesthesia.2018;32(2)901
[DOI]
136Assessment of Pulmonary Edema: Principles and Practice
Grigorios Chatziparasidis,Kostas N. Priftis,Andrew Bush
Journal of Cardiothoracic and Vascular Anesthesia.2018;32(2)207
[DOI]
137The diagnosis of respiratory disease in children using a phone-based cough and symptom analysis algorithm: The smartphone recordings of cough sounds 2 (SMARTCOUGH-C 2) trial design
Peter P. Moschovis,Esther M. Sampayo,Anna Cook,Gheorghe Doros,Blair A. Parry,Jesiel Lombay,T. Bernard Kinane,Kay Taylor,Tony Keating,Udantha Abeyratne,Paul Porter,John Carl
Contemporary Clinical Trials.2021;101(2)106278
[DOI]
138The diagnosis of respiratory disease in children using a phone-based cough and symptom analysis algorithm: The smartphone recordings of cough sounds 2 (SMARTCOUGH-C 2) trial design
Arka Roy,Udit Satija
Contemporary Clinical Trials.2022;101(2)1
[DOI]
139The diagnosis of respiratory disease in children using a phone-based cough and symptom analysis algorithm: The smartphone recordings of cough sounds 2 (SMARTCOUGH-C 2) trial design
Krishna Mridha,Shakil Sarkar,Dinesh Kumar
Contemporary Clinical Trials.2021;101(2)517
[DOI]
140Classification of Lung Sounds and Disease Prediction using Dense CNN Network
Suyash Lakhani,Ridhi Jhamb
International Journal of Engineering and Advanced Technology.2021;11(1)195
[DOI]
141Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes
Ajay Kevat,Anaath Kalirajah,Robert Roseby
Respiratory Research.2020;21(1)195
[DOI]
142Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes
Pedro Faustino,Jorge Oliveira,Miguel Coimbra
Respiratory Research.2021;21(1)345
[DOI]
  About the journal 
  Editorial Board 
  Saudi Thoracic Society(STS)
  Announcements 
  Most popular articles 
  My Preferences 

Submit Articles

Alerts

Join us

Most pupular articles