Respiratory diseases diagnosis using audio analysis and artificial intelligence: a systematic review

P Kapetanidis, F Kalioras, C Tsakonas, P Tzamalis… - Sensors, 2024 - mdpi.com
Respiratory diseases represent a significant global burden, necessitating efficient diagnostic
methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound …

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 …

Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19

M Awais, A Bhuva, D Bhuva, S Fatima… - … Signal Processing and …, 2023 - Elsevier
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 …

[HTML][HTML] Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor …

GB Othman, AR Ynineb, E Yumuk, H Farbakhsh… - Sensors, 2024 - mdpi.com
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 …

GCLP: an automated asthma detection model based on global chaotic logistic pattern using cough sounds

M Kilic, PD Barua, T Keles, AM Yildiz, I Tuncer… - … Applications of Artificial …, 2024 - Elsevier
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 …

Development and clinical validation of Swaasa AI platform for screening and prioritization of pulmonary TB

GD Yellapu, G Rudraraju, NR Sripada, B Mamidgi… - Scientific Reports, 2023 - nature.com
Acoustic signal analysis has been employed in various medical devices. However, studies
involving cough sound analysis to screen the potential pulmonary tuberculosis (PTB) …

[HTML][HTML] Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification

S Purkovic, L Jovanovic, M Zivkovic… - Journal of King Saud …, 2024 - Elsevier
In contemporary medical research, respiratory disorders have become a primary focus.
Improving patient outcomes for any medical condition largely depends on early identification …

An AI-Enabled bias-free respiratory disease diagnosis model using cough audio

T Saeed, A Ijaz, I Sadiq, HN Qureshi, A Rizwan… - Bioengineering, 2024 - mdpi.com
Cough-based diagnosis for respiratory diseases (RDs) using artificial intelligence (AI) has
attracted considerable attention, yet many existing studies overlook confounding variables in …

[PDF][PDF] Portable spirometer using pressure-volume method with Bluetooth integration to Android smartphone.

ED Widianto, GN Huda, OD Nurhayati - International Journal of Electrical …, 2023 - core.ac.uk
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 …

Federated few-shot learning for cough classification with edge devices

ND Hoang, D Tran-Anh, M Luong, C Tran, C Pham - Applied Intelligence, 2023 - Springer
Automatically classifying cough sounds is one of the most critical tasks for the diagnosis and
treatment of respiratory diseases. However, collecting a huge amount of labeled cough …