9 citations · 12 across the 13 of their papers we have counts for
4 papers · 1 filter
AI-Driven Cardiorespiratory Signal Processing: Separation, Clustering, and Anomaly Detection
Yasaman Torabi
This research applies artificial intelligence (AI) to separate, cluster, and analyze cardiorespiratory sounds. We recorded a new dataset (HLS-CMDS) and developed several AI models,…
Design and Implementation of an IoT-based Respiratory Motion Sensor
Bardia Baraeinejad, Maryam Forouzesh, Saba Babaei +3
In the last few decades, several wearable devices have been designed to monitor respiration rate in an effort to capture pulmonary signals with higher accuracy and reduce patients'…
MEMS and ECM Sensor Technologies for Cardiorespiratory Sound Monitoring - A Comprehensive Review
Yasaman Torabi, Shahram Shirani, James P. Reilly +1
This paper presents a comprehensive review of cardiorespiratory auscultation sensing devices (i.e., stethoscopes), which is useful for understanding the theoretical aspects and pra…
A New Non-Negative Matrix Factorization Approach for Blind Source Separation of Cardiovascular and Respiratory Sound Based on the Periodicity of Heart and Lung Function
Yasaman Torabi, Shahram Shirani, James P. Reilly
Auscultation provides a rich diversity of information to diagnose cardiovascular and respiratory diseases. However, sound auscultation is challenging due to noise. In this study, a…