Results 21 to 30 of about 36,712 (206)

Electrocardiography vs. Auscultation to Assess Heart Rate During Cardiac Arrest With Pulseless Electrical Activity in Newborn Infants

open access: yesFrontiers in Pediatrics, 2018
Background: In 2015, the neonatal resuscitation guidelines incorporated the use of electrocardiography (ECG) to monitor heart rate of newborns. However, previous studies have indicated that cardiac arrest with pulseless electrical activity rhythm (PEA ...
Deandra H. Luong   +7 more
doaj   +1 more source

Evaluation of the heart sounds in children using a Doppler Phonolyser

open access: yesBioMedical Engineering OnLine, 2023
Background Heart auscultation is an easy and inexpensive tool for early diagnosis of congenital heart defects. In this regard, a simple device which can be used easily by physicians for heart murmur detection will be very useful.
Mohammad Reza Khalilian   +6 more
doaj   +1 more source

I look into the chest: History and evolution of stethoscope

open access: yesJournal of the Practice of Cardiovascular Sciences, 2022
Early physicians were taught with immediate auscultation, placing the ear directly on the patient's chest. They showed reluctance because it was questionable when the patient is obese, nonhygiene, and modesty, especially in cases of females.
Rony Vincent
doaj   +1 more source

Virtual auscultation course for medical students via video chat in times of COVID-19

open access: yesGMS Journal for Medical Education, 2020
Introduction: Auscultation skills are among the basic techniques to be learned in medical school. Such skills are achieved through supervised examination of patients often supported by simulator-based learning.The emergence of COVID-19 has disrupted and ...
Rüllmann, Nils   +6 more
doaj   +1 more source

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

Consensus Guidelines for Intermittent Auscultation in United States Community Birth Settings. [PDF]

open access: yesBirth
ABSTRACT Background Intermittent auscultation is the gold standard for fetal assessment in uncomplicated pregnancies and labors and is used universally in the community birth setting. Great variation exists in intermittent auscultation practices and language used by community birth midwives across the country. Current standards, as defined by midwifery
Akerson S   +5 more
europepmc   +2 more sources

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang   +6 more
wiley   +1 more source

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