Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning
S Aghalya, NV Rao, RR Roy… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
Early detection and intervention are essential for respiratory disease management and
patient outcomes. The paper presents an integrated system that integrates Internet of Things …
patient outcomes. The paper presents an integrated system that integrates Internet of Things …
[HTML][HTML] Flexible & transparent breath sensor and conducting electrodes based on a highly interconnected Au nanoparticle network
N Sneha, S Kiruthika - Sensors & Diagnostics, 2024 - pubs.rsc.org
In this study, transparent humidity sensors and conducting electrodes (TCEs) were
fabricated using a highly interconnected gold nanoparticle network (Au nanonetwork) via a …
fabricated using a highly interconnected gold nanoparticle network (Au nanonetwork) via a …
IoT-Enabled Respiratory Pattern Monitoring in Critical Care: A Real-Time Recurrent Neural Network Approach
S Rajarajan, R Kalaivani, N Kaliammal… - 2024 10th …, 2024 - ieeexplore.ieee.org
Critical in intensive care units (ICUs), monitoring respiratory patterns is essential for
diagnosing respiratory distress early and treating patients with severe illnesses properly …
diagnosing respiratory distress early and treating patients with severe illnesses properly …
[PDF][PDF] EMERGENCY ALERT SYSTEM WITH GPS AND GSM INTEGRATION FOR REAL-TIME VEHICLE ACCIDENTS
MS Gowthami, B Sneka, R Suganya, S Swathi… - ijprems.com
This project introduces a real-time vehicle accident alert system that seamlessly integrates
GPS and GSM technologies. Its key features include immediate accident detection, precise …
GPS and GSM technologies. Its key features include immediate accident detection, precise …