Digital twins for chronic lung diseases
A Gonsard, M Genet… - European Respiratory …, 2024 - publications.ersnet.org
Digital twins have recently emerged in healthcare. They combine advances in cyber–
physical systems, modelling and computation techniques, and enable a bidirectional flow of …
physical systems, modelling and computation techniques, and enable a bidirectional flow of …
Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19
Since the year 2019, the entire world has been facing the most hazardous and contagious
disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can …
disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can …
[HTML][HTML] Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Sco** Review
J Cummerow, C Wienecke, N Engler… - Journal of Medical …, 2023 - jmir.org
Background Primary care is known to be one of the most complex health care settings
because of the high number of theoretically possible diagnoses. Therefore, the process of …
because of the high number of theoretically possible diagnoses. Therefore, the process of …
[HTML][HTML] Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor …
Tissue hysteresivity is an important marker for determining the onset and progression of
respiratory diseases, calculated from forced oscillation lung function test data. This study …
respiratory diseases, calculated from forced oscillation lung function test data. This study …
An AI-Enabled bias-free respiratory disease diagnosis model using cough audio
Cough-based diagnosis for respiratory diseases (RDs) using artificial intelligence (AI) has
attracted considerable attention, yet many existing studies overlook confounding variables in …
attracted considerable attention, yet many existing studies overlook confounding variables in …
Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study
Abstract The Advent of Artificial Intelligence (AI) has led to the use of auditory data for
detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more …
detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more …
[HTML][HTML] Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification
In contemporary medical research, respiratory disorders have become a primary focus.
Improving patient outcomes for any medical condition largely depends on early identification …
Improving patient outcomes for any medical condition largely depends on early identification …
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
Asthmatic patients suffer episodic attacks of breathing difficulty and cough. Cough sounds
may be used to distinguish asthma from other lung conditions or normal, especially in the …
may be used to distinguish asthma from other lung conditions or normal, especially in the …
Development and clinical validation of Swaasa AI platform for screening and prioritization of pulmonary TB
Acoustic signal analysis has been employed in various medical devices. However, studies
involving cough sound analysis to screen the potential pulmonary tuberculosis (PTB) …
involving cough sound analysis to screen the potential pulmonary tuberculosis (PTB) …
Portable spirometer using pressure-volume method with Bluetooth integration to Android smartphone.
ED Widianto, GN Huda… - International Journal of …, 2023 - search.ebscohost.com
This paper presents a study on an embedded spirometer using the low-cost MPX5100DP
pressure sensor and an Arduino Uno board to measure the air exhaled flow rate and …
pressure sensor and an Arduino Uno board to measure the air exhaled flow rate and …