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] Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping 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 …

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare

A Triantafyllopoulos, A Kathan, A Baird… - Frontiers in Digital …, 2023 - frontiersin.org
Recent years have seen a rapid increase in digital medicine research in an attempt to
transform traditional healthcare systems to their modern, intelligent, and versatile …

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 …

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) …

Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study

P Pentakota, G Rudraraju, NR Sripada, B Mamidgi… - Scientific Reports, 2023 - nature.com
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 …

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 …

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 …

Discovering COVID-19 coughing and breathing patterns from unlabeled data using contrastive learning with varying pre-training domains

J Cai, S Vhaduri, X Luo - arXiv preprint arXiv:2306.01864, 2023 - arxiv.org
Rapid discovery of new diseases, such as COVID-19 can enable a timely epidemic
response, preventing the large-scale spread and protecting public health. However, limited …

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 …