Results 71 to 80 of about 1,083,600 (194)

HLS-CMDS: Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope

This dataset contains 210 recordings of heart and lung sounds captured using a digital stethoscope from a clinical manikin, including both individual and mixed recordings of heart and lung sounds; 50 heart sounds, 50 lung sounds, and 110 mixed sounds. It
Torabi, Y (via Mendeley Data)
core   +1 more source

Advancements in Body Sound Diagnostics: Exploring Acoustic Signals for Medical Applications and Future Research Directions

Journal of Medical Physics
Research on acoustic signals generated by the human body remains limited but holds significant potential for advancing medical diagnostics. This review comprehensively explores various body sounds, including cardiovascular sounds, bowel sounds, brain ...
J. A. P. Bodhika, U. L. L. S. Perera, N. T. Senadeera   +2 more
doaj   +1 more source

Ouachita Sounds in On With the Show [PDF]

, 1997
This is the Spring 1997 program of the Ouachita Sounds, On With the Show, performed on January 18 ...
Ouachita Sounds, Secrest, Glenda
core  

Performance evaluation of lung sounds classification using deep learning under variable parameters

EURASIP Journal on Advances in Signal Processing
It is desired to apply deep learning models (DLMs) to assist physicians in distinguishing abnormal/normal lung sounds as quickly as possible. The performance of DLMs depends on feature-related and model-related parameters heavily.
Zhaoping Wang, Zhiqiang Sun
doaj   +1 more source

Classification and analysis of non-stationary characteristics of crackle and rhonchus lung adventitious sounds

, 2014
This paper proposed various feature extraction procedures to separate crackles and rhonchi of pathological lung sounds from normal lung sounds. The feature extraction process for distinguishing crackles and rhonchus from normal sounds comprises three ...
Gengec, Serife, İÇER, Semra
core   +1 more source

Combining Neural Network and Genetic Algorithm for Prediction of Lung Sounds

, 2005
Recognition of lung sounds is an important goal in pulmonary medicine. In this work, we present a study for neural networks-genetic algorithm approach intended to aid in lung sound classification.
POLAT, HÜSEYİN, Güler, İnan I., ERGÜN, UÇMAN, GÜLER, İNAN   +3 more
core   +1 more source

Aquisição e processamento de sons crepitantes para auxílio ao diagnóstico de enfermidades pulmonares [PDF]

, 2011
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2011O presente trabalho aborda o desenvolvimento e a implementação de um sistema de aquisição de sons ...
Ponte, Daniel Ferreira da
core  

Constrained Synthetic Sampling for Augmentation of Crackle Lung Sounds. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2023
Kala A, Elhilali M.
europepmc   +1 more source

Separation of Heart Sounds & Lung Sounds using Independent Component Analysis [PDF]

, 2009
Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.Auscultation is the most common way of physical examination of a patient ...
B.HemaKumar, R.Anandanatarajan
core  

Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study. [PDF]

IEEE J Biomed Health Inform, 2023
Sanchez-Perez JA, Gazi AH, Mabrouk SA, Berkebile JA, Ozmen GC, Kamaleswaran R, Inan OT.   +6 more
europepmc   +1 more source