Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning
S Aghalya, NV Rao, RR Roy… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
Early detection and intervention are essential for respiratory disease management and
patient outcomes. The paper presents an integrated system that integrates Internet of Things …
patient outcomes. The paper presents an integrated system that integrates Internet of Things …
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 …
Multiclass categorisation of respiratory sound signals using neural network
Respiratory diseases have seriously impacted human life in the last couple of years; as
Covid 19 arrived, many lost their beloved ones. Since respiratory diseases directly attack the …
Covid 19 arrived, many lost their beloved ones. Since respiratory diseases directly attack the …
Real-time multi-class classification of respiratory diseases through dimensional data combinations
In recent times, there has been active research on multi-disease classification that aim to
diagnose lung diseases and respiratory conditions using respiratory data. Recorded …
diagnose lung diseases and respiratory conditions using respiratory data. Recorded …
BreathPro: Monitoring Breathing Mode during Running with Earables
Running is a popular and accessible form of aerobic exercise, significantly benefiting our
health and wellness. By monitoring a range of running parameters with wearable devices …
health and wellness. By monitoring a range of running parameters with wearable devices …
ML-DP: a smart emotion detection system for disabled person to develop a smart city
A disability is one of the main issues that has presented and continues to present difficulties.
Disability has been and continues to be a source of frustration since it is viewed as a …
Disability has been and continues to be a source of frustration since it is viewed as a …
Open-set lung sound recognition model based on conditional Gaussian capsule network and variational time–frequency feature reconstruction
Y Zhang, J Zhang, L Shi - Biomedical Signal Processing and Control, 2024 - Elsevier
Lung sound auscultation is an essential method for diagnosing lung diseases; however,
most existing lung sound recognition methods fail to identify classes that are unknown in …
most existing lung sound recognition methods fail to identify classes that are unknown in …
DBNet: Detect Diabetic Retinopathy to Stop Blindness Before it's Too Late
K Mridha, MM Shorna, N Arefin, A Ritu… - … (Trends and Future …, 2022 - ieeexplore.ieee.org
Diabetes retinopathy is an eye disorder, primarily caused by high blood sugar from diabetes.
Due to the complication, the back side of the eye (retina) gets infected, leading to permanent …
Due to the complication, the back side of the eye (retina) gets infected, leading to permanent …
AFEN: Respiratory Disease Classification using Ensemble Learning
We present AFEN (Audio Feature Ensemble Learning), a model that leverages
Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to …
Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to …
ML-MT: A study of e-health application framework by machine learning techniques
K Mridha, A Ritu, MMA Chowdhury… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
One of the crucial challenges of the healthcare sector is to provide services efficiently so that
everyone can get the care they need without having to get caught up in the administrative …
everyone can get the care they need without having to get caught up in the administrative …