In-home older adults' activity pattern monitoring using depth sensors: A review
The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
Machine learning for automated classification of abnormal lung sounds obtained from public databases: a systematic review
Pulmonary auscultation is essential for detecting abnormal lung sounds during physical
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
Interpretation of lung disease classification with light attention connected module
Y Choi, H Lee - Biomedical Signal Processing and Control, 2023 - Elsevier
Lung diseases lead to complications from obstructive diseases, and the COVID-19
pandemic has increased lung disease-related deaths. Medical practitioners use …
pandemic has increased lung disease-related deaths. Medical practitioners use …
BrachySound: machine learning based assessment of respiratory sounds in dogs
A Oren, JD Türkcü, S Meller, T Lazebnik, P Wiegel… - Scientific reports, 2023 - nature.com
The early and accurate diagnosis of brachycephalic obstructive airway syndrome (BOAS) in
dogs is pivotal for effective treatment and enhanced canine well-being. Owners often do …
dogs is pivotal for effective treatment and enhanced canine well-being. Owners often do …
Towards open respiratory acoustic foundation models: Pretraining and benchmarking
Respiratory audio, such as coughing and breathing sounds, has predictive power for a wide
range of healthcare applications, yet is currently under-explored. The main problem for …
range of healthcare applications, yet is currently under-explored. The main problem for …
A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds
NS Alghamdi, M Zakariah, H Karamti - Multimedia Tools and Applications, 2024 - Springer
Abstract Machine learning algorithms have recently been increasingly used in medical data,
particularly in healthcare areas where image processing techniques have played a crucial …
particularly in healthcare areas where image processing techniques have played a crucial …
[图书][B] Gender and tone in recorded economics presentations: Audio analysis with machine learning
This paper develops a replicable and scalable method for analyzing tone in economics
seminars to study the relationship between speaker gender, age, and tone in both static and …
seminars to study the relationship between speaker gender, age, and tone in both static and …
Evaluation of the Submaximal Treadmill-Based Fitness Test in Six Brachycephalic Breeds—A Follow-Up Study
Simple Summary The application of a standardised submaximal fitness test on a treadmill
has shown promising feasibility and efficacy in identifying clinical signs of brachycephalic …
has shown promising feasibility and efficacy in identifying clinical signs of brachycephalic …
Dyspnea severity assessment based on vocalization behavior with deep learning on the telephone
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep
learning, is proposed. The method is based on modeling the spontaneous behavior of …
learning, is proposed. The method is based on modeling the spontaneous behavior of …
Deep learning and feature fusion-based lung sound recognition model to diagnoses the respiratory diseases
This paper proposed a novel approach for detecting lung sound disorders using deep
learning feature fusion. The lung sound dataset are oversampled and converted into …
learning feature fusion. The lung sound dataset are oversampled and converted into …