Measuring Respiration Rate Based on Android

Abstract-Respiratory rate is the total number of breath or breathing cycle, which occurs every minute. Abnormal respiratory rate is a sensitive indicator for danger patients requiring medical treatment immediately. The objective of the study is to design a respiration rate monitor via an Android mobile phone. In this study, we used flex sensors to detect the respiration rate. The flex sensors were placed in the human stomach diaphragm which detects the changes in the human stomach diaphragm during breathing. The measurement results are displayed on the liquid crystal display (LCD) 2 x 16. The data will be sent via a Bluetooth connection to the android to display the values and graphs. The comparison between the design and standard showed that the maximum error is 4.69% while the minimum error is 1.52%. The average error for all measurement is 2.83%. It can be concluded that the tool wear is eligible because it is still below the minimum threshold of 10% error

Authors

Institutions

Publication Details

Journal
Indonesian Journal of Electronics Electromedical Engineering and Medical Informatics
Published
2025-08-17
DOI
https://doi.org/10.35882/ijeeemi.v1i1.237
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring Respiration Rate Based on Android

Sari Luthfiyah, I Dewa Gede Hari Wisana, Triwiyanto Triwiyanto, Shofiyah Shofiyah
Indonesian Journal of Electronics Electromedical Engineering and Medical Informatics
Mobile Learning in Education
article

Measuring Respiration Rate Based on Android

Sari Luthfiyah, I Dewa Gede Hari Wisana, Triwiyanto Triwiyanto, Shofiyah Shofiyah
article en

Abstract

Abstract-Respiratory rate is the total number of breath or breathing cycle, which occurs every minute. Abnormal respiratory rate is a sensitive indicator for danger patients requiring medical treatment immediately. The objective of the study is to design a respiration rate monitor via an Android mobile phone. In this study, we used flex sensors to detect the respiration rate. The flex sensors were placed in the human stomach diaphragm which detects the changes in the human stomach diaphragm during breathing. The measurement results are displayed on the liquid crystal display (LCD) 2 x 16. The data will be sent via a Bluetooth connection to the android to display the values and graphs. The comparison between the design and standard showed that the maximum error is 4.69% while the minimum error is 1.52%. The average error for all measurement is 2.83%. It can be concluded that the tool wear is eligible because it is still below the minimum threshold of 10% error

Indonesian Journal of Electronics Electromedical Engineering and Medical InformaticsVol. 1(1)
Universitas Negeri Surabaya (ID), Politeknik Kesehatan Kemenkes Semarang (ID), Eskom (South Africa) (ZA)
Good health and well-being
Openalex Percentile: Top 100%
Mobile Learning in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Measuring Respiration Rate Based on Android — Sari Luthfiyah, I Dewa Gede Hari Wisana, et al. · Indonesian Journal of Electronics Electromedical Engineering and Medical Informatics (2025) | TGRS Research Map | TGRS