AIMC Topic: Auscultation

Clear Filters Showing 11 to 20 of 43 articles

Exploring classical machine learning for identification of pathological lung auscultations.

Computers in biology and medicine Nov 30, 2023
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. Despi...
Humans Algorithms Lung Auscultation Artificial Intelligence Machine Learning
View on PubMed DOI

StethAid: A Digital Auscultation Platform for Pediatrics.

Sensors (Basel, Switzerland) Jun 20, 2023
(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emerging as an aid to assist with the interpretation of auscultated sounds. A few AI-augmented digital s...
Respiratory Sounds Heart Murmurs Artificial Intelligence Algorithms Stethoscopes Auscultation Child Humans
View on PubMed DOI

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection.

IEEE journal of biomedical and health informatics Jun 5, 2023
For the care of neonatal infants, abdominal auscultation is considered a safe, convenient, and inexpensive method to monitor bowel conditions. With the help of early automated detection of bowel dysfunction, neonatologists could create a diagnosis pl...
Auscultation Intensive Care Units, Neonatal Infant, Newborn Infant Humans Machine Learning
View on PubMed DOI

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

BMC pulmonary medicine Jun 2, 2023
BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognos...
Humans Artificial Intelligence Adult Lung Case-Control Studies Deep Learning Pulmonary Disease, Chronic Obstructive Quality of Life Respiratory Sounds Clinical Protocols Idiopathic Interstitial Pneumonias Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Ultrasonography Auscultation Observational Studies as Topic
View on PubMed DOI

Towards fully automated robotic platform for remote auscultation.

The international journal of medical robotics + computer assisted surgery : MRCAS Oct 10, 2022
BACKGROUND: Since most developed countries are facing an increase in the number of patients per healthcare worker due to a declining birth rate and an ageing population, relatively simple and safe diagnosis tasks may need to be performed using roboti...
Auscultation Robotics Automation Humans Health Personnel
View on PubMed DOI

Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Experimental biology and medicine (Maywood, N.J.) Aug 16, 2022
Auscultation plays an important role in the clinic, and the research community has been exploring machine learning (ML) to enable remote and automatic auscultation for respiratory condition screening via sounds. To give the big picture of what is goi...
COVID-19 Humans Auscultation Respiratory Sounds Artificial Intelligence Machine Learning
View on PubMed DOI

Artificial Intelligence Based Blood Pressure Estimation From Auscultatory and Oscillometric Waveforms: A Methodological Review.

IEEE reviews in biomedical engineering Jan 20, 2022
Cardiovascular disease is known as the number one cause of death globally, with elevated blood pressure (BP) being the single largest risk factor. Hence, BP is an important physiological parameter used as an indicator of cardiovascular health. The us...
Humans Blood Pressure Determination Oscillometry Blood Pressure Artificial Intelligence Auscultation
View on PubMed DOI

Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning.

Scientific reports Aug 25, 2021
Auscultation has been essential part of the physical examination; this is non-invasive, real-time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is important in diagnosing respiratory diseases and providing first a...
Sensitivity and Specificity Male Middle Aged Auscultation Deep Learning Female Humans Respiratory Sounds Respiratory Tract Diseases Aged Pulmonary Medicine
View on PubMed DOI

CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection.

IEEE journal of biomedical and health informatics Aug 5, 2021
This paper presents and explores a robust deep learning framework for auscultation analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from respiratory sound recordings. The framework begins with front-end feature ext...
Respiratory Sounds Lung Lung Diseases Auscultation Humans Neural Networks, Computer
View on PubMed DOI

Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach.

Journal of biological physics Apr 27, 2021
The paper delves into the plausibility of applying fractal, spectral, and nonlinear time series analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary crackle (PC) analysed by fast Fourier transform and wavelet ...
Signal Processing, Computer-Assisted COVID-19 Respiratory Sounds Auscultation Humans Principal Component Analysis Fourier Analysis Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals