DeepThink IoT: the strength of deep learning in internet of things
Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …
revolutionized technology in the twenty-first century, enabling humans and machines to …
Deep learning-based lung sound analysis for intelligent stethoscope
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
Automated lung sound classification using a hybrid CNN-LSTM network and focal loss function
Respiratory diseases constitute one of the leading causes of death worldwide and directly
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …
tremendous growth in the medical field. Medical images are considered as the actual origin …
Lung sound classification using co-tuning and stochastic normalization
T Nguyen, F Pernkopf - IEEE Transactions on Biomedical …, 2022 - ieeexplore.ieee.org
Computational methods for lung sound analysis are beneficial for computer-aided diagnosis
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …
Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung
diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in …
diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in …
Electret-based flexible pressure sensor for respiratory diseases auxiliary diagnosis system using machine learning technique
X Li, B Qi, X Wan, J Zhang, W Yang, Y Xiao, F Mao… - Nano Energy, 2023 - Elsevier
Respiratory diseases have been increasingly affecting people worldwide, posing a major
public health challenge due to rising morbidity and mortality rates. Subtle abnormal …
public health challenge due to rising morbidity and mortality rates. Subtle abnormal …
[PDF][PDF] LungRN+ NL: An improved adventitious lung sound classification using non-local block resnet neural network with mixup data augmentation.
Y Ma, X Xu, Y Li - Interspeech, 2020 - interspeech2020.org
Performing an automated adventitious lung sound detection is a challenging task since the
sound is susceptible to noises (heartbeat, motion artifacts, and audio sound) and there is …
sound is susceptible to noises (heartbeat, motion artifacts, and audio sound) and there is …
Review on the advancements of stethoscope types in chest auscultation
JJ Seah, J Zhao, DY Wang, HP Lee - Diagnostics, 2023 - mdpi.com
Stethoscopes were originally designed for the auscultation of a patient's chest for the
purpose of listening to lung and heart sounds. These aid medical professionals in their …
purpose of listening to lung and heart sounds. These aid medical professionals in their …
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database …
FS Hsu, SR Huang, CW Huang, CJ Huang… - PLoS …, 2021 - journals.plos.org
A reliable, remote, and continuous real-time respiratory sound monitor with automated
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …