Affordable and Accessible Spirometry: A Review of Portable and AI-Driven Solutions

Authors

  • Prof. Dr. P.G. Shete, Prof. Shubhangi A. Solanke , Heramb Patil , Vaishnavee Sanam , Devadripta Jadhav , Samiksha Boduwar , Sahil Patil Author

DOI:

https://doi.org/10.48047/c0k8q990

Keywords:

Portable Spirometer, Artificial Intelligence (AI), Respiratory Disease Detection, Airflow Graphs, Lung Function

Abstract

This paper explores the advancements in portable spirometry, focusing on the integration of AI and novel sensor technologies to enhance respiratory healthcare. Portable spirometry has become increasingly accessible due to the miniaturization of sensors, improved calibration methods, and the incorporation of AI-driven data analysis. These  developments enable

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References

H. Al Rasyid, M. Udin, Kemalasari, M. Sulistiyo, and S. Sukaridhoto, ‘Design and Development of a Portable Spirometer’, Proc. 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2018, pp. 1–2.

X. Yuan, J. Zhou, B. Huang, Y. Wang, C. Yang, and W. Gui, ‘Hierarchical quality-relevant feature representation for soft sensor modeling: A novel deep learning strategy’, IEEE Transactions on Industrial Informatics, 16(6), 2019, pp. 3721–3730.

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Published

2025-05-27

Issue

Vol. 11 No. 1 (2025): 11 (1) 2025

Section

Articles

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How to Cite

Prof. Dr. P.G. Shete, Prof. Shubhangi A. Solanke , Heramb Patil , Vaishnavee Sanam , Devadripta Jadhav , Samiksha Boduwar , Sahil Patil. (2025). Affordable and Accessible Spirometry: A Review of Portable and AI-Driven Solutions. History of Medicine, 11(1), 706-729. https://doi.org/10.48047/c0k8q990