Search Results

THE ASSESSMENT OF STRIDOR IN INFANTS AND YOUNG CHILDREN.

• Authors : PRACY R

Subjects: Classification* ; Diagnosis* ; Laryngoscopy*

• Source: Proceedings of the Royal Society of Medicine [Proc R Soc Med] 1965 Apr; Vol. 58, pp. 267-70.Publisher: Royal Society Of Medicine Country of Publication: England NLM ID: 7505890 Publication Model: Print Cited Medium: Print ISSN: 0035-9157

Record details

STRIDOR IN CHILDREN. CONGENITAL LARYNGEAL WEB.

• Authors : CAVANAGH F

Subjects: Congenital Abnormalities* ; Diagnosis* ; Laryngoscopy*

• Source: Proceedings of the Royal Society of Medicine [Proc R Soc Med] 1965 Apr; Vol. 58, pp. 272-7.Publisher: Royal Society Of Medicine Country of Publication: England NLM ID: 7505890 Publication Model: Print Cited Medium: Print ISSN: 0035-9157

Record details

COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds.

• Authors : Kranthi Kumar, Lella; Alphonse, P.J.A.

Subjects: COVID-19; DIAGNOSIS; COVID-19 testing

• Source: European Physical Journal: Special Topics; Dec2022, Vol. 231 Issue 18-20, p3329-3346, 18p

Record details

COVID-19: respiratory disease diagnosis with regularized deep convolutional neural network using human respiratory sounds.

• Authors : Kranthi Kumar, Lella; Alphonse, P. J. A.

Subjects: CONVOLUTIONAL neural networks; COVID-19; RESPIRATORY diseases

• Source: European Physical Journal: Special Topics; Dec2022, Vol. 231 Issue 18-20, p3673-3696, 24p

Record details

Computerized respiratory sounds: a comparison between patients with stable and exacerbated COPD.

• Authors : Jácome, Cristina; Oliveira, Ana; Marques, Alda

Subjects: OBSTRUCTIVE lung disease diagnosis; WHEEZE; CRACKLES (Respiration)

• Source: Clinical Respiratory Journal; Sep2017, Vol. 11 Issue 5, p612-620, 9p

Record details

Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review.

• Authors : Kapetanidis, Panagiotis; Kalioras, Fotios; Tsakonas, Constantinos

Subjects: ARTIFICIAL intelligence; RESPIRATORY diseases; DIAGNOSIS

• Source: Sensors (14248220); Feb2024, Vol. 24 Issue 4, p1173, 37p

Record details

An accurate deep learning model for wheezing in children using real world data.

• Authors : Kim, Beom Joon; Kim, Baek Seung; Mun, Jeong Hyeon

Subjects: DEEP learning; CONVOLUTIONAL neural networks; WHEEZESOUTH Korea

• Source: Scientific Reports; 12/28/2022, Vol. 12 Issue 1, p1-8, 8p

Record details

Data augmentation using Variational Autoencoders for improvement of respiratory disease classification

• Authors : Saldanha, Jane; Chakraborty, Shaunak; Patil, Shruti

• Source: PLoS ONE. August 12, 2022, Vol. 17 Issue 8, e0266467

Record details

Agricola

Record details

Evaluation of abnormal respiratory sound "crackle" using time-expanded waveform and FFT analysis.

• Authors : Kawamura, Takeo; Matsumoto, Tsuneo; Miura, Gouji

Subjects: CATHODE ray oscillographs; ASTHMA; PNEUMONIA

• Source: International Journal of Applied Electromagnetics & Mechanics; 2003, Vol. 18 Issue 1-3, p11-21, 11p

Record details