Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

Critical Analysis on Review of Spirometry Research Work for Early Detection of Lung Diseases

Authors
Sujata Ambhore1, *, Vandana Bagal1, Ramesh Manza1
1Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurnagabad, Maharashtra, India
*Corresponding author. Email: ambhoresujata2@gmail.com
Corresponding Author
Sujata Ambhore
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_78How to use a DOI?
Keywords
Spirometry; COPD; Cystic Fibrosis; Pulmonary Fibrosis; Forced Vital Capacity; FEV; Pneumotachometer; Arduino; Bluetooth
Abstract

This paper presents the study of various spirometers and their techniques, which has been done before. Spirometry is nothing but a test that can be performed on those who have respiratory diseases. Handheld spirometers provide results for forced expiratory volume in one second (FEV1) and forced vital capacity (FVC), which can be manually compared to available estimated normal values. The most basic handheld spirometers offer one-second forced expiratory volume. Values of forced expiratory volume in one second (FEV1) and forced vital capacity in one second can be compared manually, using the normal available values.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_78How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sujata Ambhore
AU  - Vandana Bagal
AU  - Ramesh Manza
PY  - 2023
DA  - 2023/05/01
TI  - Critical Analysis on Review of Spirometry Research Work for Early Detection of Lung Diseases
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 890
EP  - 896
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_78
DO  - 10.2991/978-94-6463-136-4_78
ID  - Ambhore2023
ER  -