Results 221 to 230 of about 2,415,815 (294)

Exploring Wav2vec 2.0 Model for Heart Murmur Detection

European Signal Processing Conference, 2023
The lack of access to cardiology resources in many regions of the world has motivated the development of automatic diagnostic systems based on cardiac signals.
Davoud Shariat Panah, Andrew Hines, Susan Mckeever   +2 more
semanticscholar   +1 more source

Heart murmur detection based on wavelet transformation and a synergy between artificial neural network and modified neighbor annealing methods

Artificial Intelligence in Medicine, 2017
Gholamhossein Eslamizadeh, R. Barati
semanticscholar   +3 more sources

Effective Heart Sound Segmentation and Murmur Classification Using Empirical Wavelet Transform and Instantaneous Phase for Electronic Stethoscope

IEEE Sensors Journal, 2017
V. Nivitha Varghees, K. Ramachandran
semanticscholar   +3 more sources

Extraction and Assessment of Diagnosis-Relevant Features for Heart Murmur Classification.

Methods, 2021
This paper presents a heart murmur detection and multi-class classification approach via machine learning. We extracted heart sound and murmur features that are of diagnostic importance and developed additional 16 features that are not perceivable by ...
A. Levin, A. Ragazzi, S. Szot, T. Ning
semanticscholar   +1 more source

Teenage Heart Murmurs

Pediatric Clinics of North America, 2014
The first-time appearance of a murmur in an adolescent can create a substantial amount of anxiety in the parents and the teenager. The appropriate evaluation and diagnosis is very important in decision-making regarding sports participation in this population.
Ronak J, Naik, Nishant C, Shah
openaire   +2 more sources

A Machine Learning Approach to Heart Murmur Detection and Classification

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020
This paper presents a heart murmur detection and classification approach via machine learning. We extracted heart sound and murmur features that are of diagnostic importance and developed additional 16 features that are not perceivable by human ears but ...
A. Levin, A. Ragazzi, S. Szot, T. Ning
semanticscholar   +1 more source

Classification of Heart Murmur using CNN

International Conference on Communication and Electronics Systems, 2020
Healthcare industry is growing day by day giving support to patients both in a rural area and urban area. Around 17.9 million death was reported due to heart diseases in past years.
Sukanya Sudarsanan, A. J
semanticscholar   +1 more source