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 …

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 …

[HTML][HTML] 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) …

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 …

[HTML][HTML] Resource-based theory perspective in the textile industry: The impact of the digital supply chain on operational performance

F Men, RMS Yaqub, R Yan, M Irfan… - … in Environmental Science, 2022 - frontiersin.org
In a developing nation such as Pakistan, the textile sector is crucial for employment creation
and poverty reduction. As a result of digitization, standard industrial operating processes …

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 …

[HTML][HTML] Automatic classification of hospital settings through artificial intelligence

E Iadanza, G Benincasa, I Ventisette, M Gherardelli - Electronics, 2022 - mdpi.com
Modern hospitals have to meet requirements from national and international institutions in
order to ensure hygiene, quality and organisational standards. Moreover, a hospital must be …

[HTML][HTML] 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 …