Lung Monitoring System Using AI
DOI:
https://doi.org/10.32628/CSEIT251112282Keywords:
Lung Monitoring, AI, Machine Learning, Arduino, Respiratory Health, Sensors, Continuous Monitoring, Healthcare, Smart Systems, Early DiagnosisAbstract
The "Lung Monitoring System Using AI" project focuses on continuous health monitoring for individuals with respiratory conditions using advanced sensors and AI technologies. Integrated with an Arduino development board, the system uses various sensors, including gas and temperature sensors, to collect real-time data on lung health. The collected data is processed by machine learning algorithms to detect early signs of respiratory issues, allowing for proactive medical intervention. This system aims to enhance patient care by offering continuous, non-invasive monitoring, reducing hospital visits, and providing timely alerts. The study demonstrates the potential of AI and sensor integration in improving lung health management.
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Ahmed sharshar, Muhammad sharshar , Hosam elhady ,Ahmed aboeitta , Youssef nafea 3, yasser ashraf ,Mohammad yaqub , (member, ieee), and Mohsen guizani ,"A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning",20 February 2024.
Smith, J., Johnson, A., "AI-Driven Continuous Lung Health Monitoring: A Comprehensive Review", 2024 International Conference on Medical AI and Sensor Networks (MIASN)
Garcia, M., Lee, K., "Early Detection of Respiratory Diseases Using Wearable Sensors and Machine Learning", 2023 IEEE Symposium on Biomedical Engineering and Informatics (BMEI)
Chen, L., Wang, H., "Cloud-Based Analysis of Lung Function Data for Predictive Healthcare", 2022 ACM Conference on Health, Inference, and Learning (CHIL)
Williams, R., Brown, T., "Integration of Multiple Sensor Types for Enhanced Lung Cancer Screening", 2022 International Conference on Biomedical Engineering and Systems (ICBES)
Xiaochen Jia, Wenjing Meng, Shufen Li, Zhongsheng Tong, Yongsheng Jia, "A rare case of intracystic Her-2 positive young Lung cancer", 2021 IEEE
Burcu Bılgıç, "Comparison of Lung Cancer and Skin Cancer Diagnoses Using Deep Learning Method", 2021 29th Signal Processing and Communications Applications Conference (SIU)
Mengfan Li, "Research on the Detection Method of Lung Cancer Deep Convolutional Neural Network Based on Computer Aid", 2021 IEEE Asia-Pacific
Valerii E. Orel, Oleksdandr Rykhalskyi, Liubov Syvak, et al., "Computer-assisted Inductive Moderate Hyperthermia Planning For Lung Cancer Patients", 2020IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO)
Alexandra Easson, Aditya Pandya, Jesse Pasternak, et al., "Improving the patient cancer experience: Multispectral (White Light/Autofluorescence/Raman) Needle Endoscopy for cancer diagnostics in Lung and thyroid", 2020 Photonics North (PN)
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Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
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