keyword
https://read.qxmd.com/read/38042100/exploring-classical-machine-learning-for-identification-of-pathological-lung-auscultations
#1
JOURNAL ARTICLE
Haroldas Razvadauskas, Evaldas Vaičiukynas, Kazimieras Buškus, Lukas Arlauskas, Sławomir Nowaczyk, Saulius Sadauskas, Albinas Naudžiūnas
The use of machine learning in biomedical research has surged in recent years thanks to advances in devices and artificial intelligence. Our aim is to expand this body of knowledge by applying machine learning to pulmonary auscultation signals. Despite improvements in digital stethoscopes and attempts to find synergy between them and artificial intelligence, solutions for their use in clinical settings remain scarce. Physicians continue to infer initial diagnoses with less sophisticated means, resulting in low accuracy, leading to suboptimal patient care...
November 30, 2023: Computers in Biology and Medicine
https://read.qxmd.com/read/37322997/a-rational-and-standardized-prenatal-examination
#2
REVIEW
Ellery Sarosi, Luke A Gatta, Deborah R Berman, Jeffrey A Kuller
IMPORTANCE: As prenatal care is in transition after the COVID-19 pandemic, reviewing fundamental physical examination approaches is necessary for providers examining obstetrical patients. OBJECTIVE: The objective of this review is 3-fold: (1) convey why the age of telemedicine necessitates reconsideration of the standardized physical examination in routine prenatal care; (2) identify the screening efficacy of examination maneuvers used within a standard prenatal examination of the neck, heart, lungs, abdomen, breasts, skin, lower extremities, pelvis, and fetal growth; and (3) propose an evidence-based prenatal physical examination...
June 2023: Obstetrical & Gynecological Survey
https://read.qxmd.com/read/34820748/telemedical-percussion-objectifying-a-fundamental-clinical-examination-technique-for-telemedicine
#3
REVIEW
Roman Krumpholz, Jonas Fuchtmann, Maximilian Berlet, Annika Hangleiter, Daniel Ostler, Hubertus Feussner, Dirk Wilhelm
PURPOSE: While demand for telemedicine is increasing, patients are currently restricted to tele-consultation for the most part. Fundamental diagnostics like the percussion still require the in person expertize of a physician. To meet today's challenges, a transformation of the manual percussion into a standardized, digital version, ready for telemedical execution is required. METHODS: In conjunction with a comprehensive telemedical diagnostic system, in which patients can get examined by a remote-physician, a series of three robotic end-effectors for mechanical percussion were developed...
April 2022: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/33768144/respiratory-auscultation-lab-using-a-cardiopulmonary-auscultation-simulation-manikin
#4
JOURNAL ARTICLE
Jennifer Kaminsky, Riccardo Bianchi, Shirley Eisner, Robin Ovitsh, Ana Maria Lopez, Leanna Smith, Nawar Talukder, Antonia Quinn
INTRODUCTION: Mastery of respiratory auscultation skills is fundamental for clinicians to develop. We created a case-based educational session utilizing a high-fidelity simulator to teach lung sound auscultation to medical students at our institution. We employed a hypothesis-driven approach and deliberate practice to enhance students' learning experience and retention of acquired skills. METHODS: We developed the session to teach second-year medical students how to discriminate between normal and pathological respiratory sounds within the context of clinical vignettes...
March 2, 2021: MedEdPORTAL Publications
https://read.qxmd.com/read/33761909/deep-learning-diagnostic-and-risk-stratification-pattern-detection-for-covid-19-in-digital-lung-auscultations-clinical-protocol-for-a-case-control-and-prospective-cohort-study
#5
JOURNAL ARTICLE
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
BACKGROUND: Lung auscultation is fundamental to the clinical diagnosis of respiratory disease. However, auscultation is a subjective practice and interpretations vary widely between users. The digitization of auscultation acquisition and interpretation is a particularly promising strategy for diagnosing and monitoring infectious diseases such as Coronavirus-19 disease (COVID-19) where automated analyses could help decentralise care and better inform decision-making in telemedicine. This protocol describes the standardised collection of lung auscultations in COVID-19 triage sites and a deep learning approach to diagnostic and prognostic modelling for future incorporation into an intelligent autonomous stethoscope benchmarked against human expert interpretation...
March 24, 2021: BMC Pulmonary Medicine
https://read.qxmd.com/read/33514153/a-basic-investigation-into-the-optimization-of-cylindrical-tubes-used-as-acoustic-stethoscopes-for-auscultation-in-covid-19-diagnosis
#6
JOURNAL ARTICLE
Chuanyang Jiang, Jiaqi Zhao, Bin Huang, Jian Zhu, Jiao Yu
During the COVID-19 outbreak, the auscultation of heart and lung sounds has played an important role in the comprehensive diagnosis and real-time monitoring of confirmed cases. With clinicians wearing protective clothing in isolation wards, a potato chip tube stethoscope, which is a secure and flexible substitute for a conventional stethoscope, has been used by Chinese medical workers in the first-line treatment of COVID-19. In this study, an optimal design for this simple cylindrical stethoscope is proposed based on the fundamental theory of acoustic waveguides...
January 2021: Journal of the Acoustical Society of America
https://read.qxmd.com/read/31551285/concordance-in-discriminating-recordings-of-different-lung-sounds-between-physiotherapists
#7
JOURNAL ARTICLE
Jaime Andrés Muñoz Barraza, Camilo Nicolas Saavedra Benardis, Rodrigo Sebastián Adasme Jeria, Daniel Humberto Arellano Sepúlveda, Igancio Sánchez Díaz, Pablo José Bertrand Navarrete
BACKGROUND: Auscultation is a fundamental part of the physical examination, but its utility has been questioned due to the low inter-rater concordance. We therefore sought to evaluate the concordance of the discrimination of lung sound recordings between experienced physiotherapists. METHODS: Lung sound recordings were selected and validated by an expert panel when Fleiss κ concordance was > 0.75. Eleven recordings were played for subject recognition using a portable computer in their workplace...
September 24, 2019: Respiratory Care
https://read.qxmd.com/read/29550468/analysis-of-pulmonary-sounds-for-the-diagnosis-of-interstitial-lung-diseases-secondary-to-rheumatoid-arthritis
#8
JOURNAL ARTICLE
Fabrizio Pancaldi, Marco Sebastiani, Giulia Cassone, Fabrizio Luppi, Stefania Cerri, Giovanni Della Casa, Andreina Manfredi
The diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis is fundamental to improving their survival rate. In particular, the average survival time of patients affected by rheumatoid arthritis with pulmonary implications is approximately 3 years. The gold standard for confirming the diagnosis of this disease is computer tomography. However, it is very difficult to raise diagnosis suspicion because the symptoms of the disease are extremely common in elderly people. The detection of the so-called velcro crackle in lung sounds can effectively raise the suspicion of an interstitial disease and speed up diagnosis...
May 1, 2018: Computers in Biology and Medicine
https://read.qxmd.com/read/28324938/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#9
JOURNAL ARTICLE
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://read.qxmd.com/read/28226619/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#10
JOURNAL ARTICLE
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Vivek Miglani, Daniel Chamberlain, Richard Ribon Fletcher, Rahul Kodgule, Daniela Ganelin
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://read.qxmd.com/read/25879837/adaptive-noise-suppression-of-pediatric-lung-auscultations-with-real-applications-to-noisy-clinical-settings-in-developing-countries
#11
JOURNAL ARTICLE
Dimitra Emmanouilidou, Eric D McCollum, Daniel E Park, Mounya Elhilali
GOAL: Chest auscultation constitutes a portable low-cost tool widely used for respiratory disease detection. Though it offers a powerful means of pulmonary examination, it remains riddled with a number of issues that limit its diagnostic capability. Particularly, patient agitation (especially in children), background chatter, and other environmental noises often contaminate the auscultation, hence affecting the clarity of the lung sound itself. This paper proposes an automated multiband denoising scheme for improving the quality of auscultation signals against heavy background contaminations...
September 2015: IEEE Transactions on Bio-medical Engineering
https://read.qxmd.com/read/24552321/fundamentals-of-lung-auscultation
#12
REVIEW
Abraham Bohadana, Gabriel Izbicki, Steve S Kraman
No abstract text is available yet for this article.
February 20, 2014: New England Journal of Medicine
https://read.qxmd.com/read/19466351/-severe-hemodynamic-instability-during-the-use-of-isoflurane-in-a-patient-with-idiopathic-scoliosis-case-report
#13
JOURNAL ARTICLE
Adriano Bechara de Souza Hobaika, Magda Lourenço Fernandes, Cláudio Lopes Cançado, Marcelo Luiz Souza Pereira, Kléber Costa Castro Pires
BACKGROUND AND OBJECTIVES: Isoflurane is considered a safe inhalational anesthetic. It has a low level of biotransformation, and low hepatic and renal toxicity. In clinical concentrations, it has minimal negative inotropic effect, causes a small reduction in systemic vascular resistance, and, rarely, can cause cardiac arrhythmias. The objective of this report was to present a case of severe hemodynamic instability in a patient with idiopathic scoliosis. CASE REPORT: Male patient, 13 years old, ASA physical status I, with no prior history of allergy to medications, scheduled for surgical repair of idiopathic scoliosis...
April 2007: Revista Brasileira de Anestesiologia
https://read.qxmd.com/read/17682415/the-impact-of-surgical-ward-nurses-practising-respiratory-assessment-on-positive-patient-outcomes
#14
REVIEW
Beverley Duff, Glenn Gardiner, Margaret Barnes
OBJECTIVE: A literature review to examine the incorporation of respiratory assessment into everyday surgical nursing practice; possible barriers to this; and the relationship to patient outcomes. PRIMARY ARGUMENT: Escalating demands on intensive care beds have led to highly dependent patients being cared for in general surgical ward areas. This change in patient demographics has meant the knowledge and skills required of registered nurses in these areas has expanded exponentially...
June 2007: Australian Journal of Advanced Nursing: a Quarterly Publication of the Royal Australian Nursing Federation
https://read.qxmd.com/read/7555568/percussion-and-physical-diagnosis-separating-myth-from-science
#15
REVIEW
S R McGee
There are three percussion sounds, which are easily distinguishable by objective measures: tympany (heard with percussion over the intestines), resonance (heard over the normal lung), and dullness (heard over the liver or thigh). The percussion sound that is produced reflects the ease with which the body wall vibrates, which in turn is influenced by many variables, including the strength of the stroke, the condition and state of the body wall, and the underlying organs. Underlying organs or disease may cause dullness to occur at distant sites...
October 1995: Disease-a-month: DM
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