Results 31 to 40 of about 20,666 (244)

Cardiac Auscultation Using Smartphones: Pilot Study

open access: yesJMIR mHealth and uHealth, 2018
BackgroundCardiac auscultation is a cost-effective, noninvasive screening tool that can provide information about cardiovascular hemodynamics and disease.
Kang, Si-Hyuck   +5 more
doaj   +1 more source

Remote Auscultation of Heart and Lungs as an Acceptable Alternative to Legacy Measures in Quarantined COVID-19 Patients—Prospective Evaluation of 250 Examinations

open access: yesSensors, 2022
The COVID-19 pandemic accelerated the assimilation of telemedicine platforms into medical practice. Nevertheless, research-based evidence in this field is still accumulating.
Or Haskel   +4 more
doaj   +1 more source

Community-based aortic stenosis detection: clinical and echocardiographic screening during influenza vaccination

open access: yesOpen Heart, 2021
Background Degenerative aortic stenosis (AS), the most common valvular heart disease in the Western world, is often diagnosed late when the mortality risk becomes substantial.
Peter Bramlage   +6 more
doaj   +1 more source

A Novel Cardiac Auscultation Monitoring System Based on Wireless Sensing for Healthcare

open access: yesIEEE Journal of Translational Engineering in Health and Medicine, 2018
Heart sounds deliver vital physiological and pathological evidence about health. Wireless cardiac auscultation offers continuous cardiac monitoring of an individual without 24*7 manual healthcare care services.
Haoran Ren   +4 more
doaj   +1 more source

Expert consensus for respiratory physiotherapy management of mechanically ventilated adults with community-acquired pneumonia: A Delphi study [PDF]

open access: yes, 2018
Rationale and aims: Patients with community‐acquired pneumonia (CAP) are frequently admitted to an intensive care unit. Physiotherapy may be provided to optimize respiratory function; however, there is significant variability in clinical practice and ...
Braun V   +5 more
core   +2 more sources

Classification of normal and abnormal heart by classifying PCG signal using MFCC coefficients and CGP-ANN classifier

open access: yesMehran University Research Journal of Engineering and Technology, 2023
Globally, A leading cause of death is heart disease and a serious public health concern. The anomalies in heart sound appears before the heart disease symptoms.
Muhammad Israr   +4 more
doaj   +1 more source

Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors [PDF]

open access: yes, 2017
Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the physician for auscultation ...
Domínguez Morales, Juan Pedro   +3 more
core  

SEPARATING SOURCES FROM SEQUENTIALLY ACQUIRED MIXTURES OF HEART SIGNALS [PDF]

open access: yes, 2011
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Coimbra, MT   +5 more
core   +1 more source

Case‐Based Immunology: B Cells and Systemic Sclerosis Interstitial Lung Disease

open access: yesArthritis &Rheumatology, EarlyView.
Interstitial lung disease (ILD) is an important complication of systemic sclerosis (SSc), with high mortality and morbidity. Recent clinical studies in SSc‐ILD have led to US Food and Drug Administration–approved therapies in SSc‐ILD. Importantly, evidence from these studies has been extrapolated to guide management of ILDs of other systemic autoimmune
Nina Goldman   +2 more
wiley   +1 more source

Methods for Improving Deep Learning-Based Cardiac Auscultation Accuracy: Data Augmentation and Data Generalization

open access: yesApplied Sciences, 2021
Cardiac auscultation is a cost-effective and noninvasive technique for cardiovascular disease detection. Recently, various studies have been underway for cardiac auscultation using deep learning, not doctors.
Yoojin Jeong   +4 more
doaj   +1 more source

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