Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering

Gökhan Ertaş; Nida Gültekin

doi:10.19113/sdufbed.90563

Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering

Abstract

The respiration pattern represents the volume of air in the lungs as a function of time during human respiration process. Abnormal changes in this pattern can be signs of several diseases or conditions. There exit several respiration pattern detection methods. Among them, an easy technique relies on sensing the movements of thoracic and (or) abdominal regions. In this study, a device based on thoracic motion tracking with complementary filtering has been developed to detect the respiration pattern. The device is equipped with a motion sensor placed in a flexible belt housing a three-axis accelerometer and a three-axis gyroscope and a UART-to-USB converter providing computer connectivity. The device is operated by a microcontroller that controls the operation of the motion sensor, applies complementary filtering to the motion data acquired and transfers the results to a personal computer. The device is powered from the computer it is connected to. Experiments with using the device during continues inhaling and exhaling, deep inhaling followed by breath-hold and deep exhaling followed by breath-hold respiration activities in standing, lying and seated postures show that thoracic motion tracking with complementary filtering may provide quite well respiration pattern detections.

Keywords

Respiration,Thoracic motion; Motion tracking; Complementary filtering

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Details

Primary Language

Turkish

Subjects

-

Journal Section

-

Authors

Gökhan Ertaş

Nida Gültekin This is me

Publication Date

April 16, 2018

Submission Date

April 14, 2017

Acceptance Date

-

Published in Issue

Year 2018 Volume: 22 Number: 1

DOI

https://doi.org/10.19113/sdufbed.90563

IZ

https://izlik.org/JA99HB34UE

Cite

RIS / Bibtex

APA

Ertaş, G., & Gültekin, N. (2018). Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 22(1), 32-37. https://doi.org/10.19113/sdufbed.90563

AMA

1.Ertaş G, Gültekin N. Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering. J. Nat. Appl. Sci. 2018;22(1):32-37. doi:10.19113/sdufbed.90563

Chicago

Ertaş, Gökhan, and Nida Gültekin. 2018. “Design of a Respiration Pattern Detecting Device Based on Thoracic Motion Tracking With Complementary Filtering”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 (1): 32-37. https://doi.org/10.19113/sdufbed.90563.

EndNote

Ertaş G, Gültekin N (April 1, 2018) Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 1 32–37.

IEEE

[1]G. Ertaş and N. Gültekin, “Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering”, J. Nat. Appl. Sci., vol. 22, no. 1, pp. 32–37, Apr. 2018, doi: 10.19113/sdufbed.90563.

ISNAD

Ertaş, Gökhan - Gültekin, Nida. “Design of a Respiration Pattern Detecting Device Based on Thoracic Motion Tracking With Complementary Filtering”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22/1 (April 1, 2018): 32-37. https://doi.org/10.19113/sdufbed.90563.

JAMA

1.Ertaş G, Gültekin N. Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering. J. Nat. Appl. Sci. 2018;22:32–37.

MLA

Ertaş, Gökhan, and Nida Gültekin. “Design of a Respiration Pattern Detecting Device Based on Thoracic Motion Tracking With Complementary Filtering”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 22, no. 1, Apr. 2018, pp. 32-37, doi:10.19113/sdufbed.90563.

Vancouver

1.Gökhan Ertaş, Nida Gültekin. Design of a Respiration Pattern Detecting Device based on Thoracic Motion Tracking with Complementary Filtering. J. Nat. Appl. Sci. 2018 Apr. 1;22(1):32-7. doi:10.19113/sdufbed.90563

Cited By

IMU-Based Respiratory Signal Processing Using Cascade Complementary Filter Method

Journal of Sensors

https://doi.org/10.1155/2022/7987159