Qualitative analysis of telemetry signals based on data gathered by dedicated mobile application

Damian Wasąg; Małgorzata Plechawska-Wójcik

doi:10.35784/jcsi.613

Open full text

PDF

Published: Dec 30, 2017

DOI: https://doi.org/10.35784/jcsi.613

Issue Vol. 5 (2017)

Articles

Performance comparison of different Java versions
Maciasz Mateusz

142-147
Qualitative analysis of telemetry signals based on data gathered by dedicated mobile application
Damian Wasąg, Małgorzata Plechawska-Wójcik

148-154
Method of cutting phases of motion while rowing on the ergometer based on three-dimensional motion
Kacper Kowalczyk, Maria Skublewska-Paszkowska

155-158
A comparative analysis of interface quality of mobile access to the services of selected banks
Marcin Kurzyna, Damian Matysiak, Marek Miłosz

159-166
Performance analysis of Unity3D engine in the context of applications run in web browsers
Przemysław Berdak, Małgorzata Plechawska-Wójcik

167-173
Comparative analysis of mobile interfaces services to search public transport connections
Filip Skowroński, Marek Miłosz

174-178
The assessment of usefulness modern IT tools of data analysis Big Data
Rafał Wasiluk, Piotr Muryjas

179-186
Analysis of the 3D glasses application in a spatial simulation on the basis of the architectural visualization
Mateusz Karol Smaga, Małgorzata Plechawska-Wójcik

187-192
Analysis of the use of sensors in mobile devices with modified operating systems
Mateusz Dobrowolski, Michał Dobrowolski, Piotr Kopniak

193-199
Analysis of the impact of refactoring on code quality – comparative analysis of two cases
Mariusz Łukasik, Marek Miłosz

200-203
Comparison of AngularJS and VueJS frameworks efficiency
Naгar Patrylo, Marek Miłosz

204-207
Performance comparison of the Xamarin platform and native applications for Android operating system
Ihor Bodia, Małgorzata Plechawska-Wójcik

208-212
Analysis of Qt libraries usage in selected interprocess communication aplications
Łukasz Janusz Górniak, Maciej Pańczyk

213-219
Evaluation of the utilization rate of e-services provided by the local administration in Lubelskie Voivodeship
Daniel Ziętek, Elżbieta Miłosz

220-226

DOI

https://doi.org/10.35784/jcsi.613

Authors

Damian Wasąg

wasag.damian@gmail.com

Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland

Małgorzata Plechawska-Wójcik

m.plechawska@pollub.pl

Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland

Abstract

The paper presents the analysis of the human heartbeat value under the physical exercise and rest condition. The test group was divided into four groups regarding age and sex. Measurements were performed using a mobile application and a blood pressure monitor. The phone's accuracy with respect to the blood pressure gauge was measured and the statistical significance of differences between age groups, sex and activity was also computed. Measurement inaccuracy varies from 4 to 12%. The mobile application accurately reproduces the pulse during rest.

Keywords:

pulse; heart rate; mobile application

References

B. De la Cruz, „Transmission of ECG signals with android mobile system via bluetooth,” w Health Care Exchanges (PAHCE), Vina de Mar, Chile, 2015. DOI: https://doi.org/10.1109/PAHCE.2015.7173316

J. Weidenmüller, „Telemetric multi-sensor system for medical applications - The approach,” Technisches Messen, styczeń 2017. DOI: https://doi.org/10.1515/teme-2016-0036

A. Töpfer, „Novel telemetric signal averaging ECG approach to determine electrical atrial and ventricular conduction delays in implantable cardioverter defibrillator patients,” Biomedizinsche Technik, pp. 6 - 9 , 30 wrzesień 2012. DOI: https://doi.org/10.1515/bmt-2012-4170

K. J. Hunt i A. J. Hunt, „Feedback control of heart rate durning outdoor running: A smartphone implementation,” Biomedical Signal Processing and Control, pp. 90-97, kwiecień 2016. DOI: https://doi.org/10.1016/j.bspc.2016.01.001

S. Ouhbi, „Mobile personal health records for cardiovascular patients,” w Third World Conference on Complex Systems (WCCS), Marrakech, Maroko, 2015. DOI: https://doi.org/10.1109/ICoCS.2015.7483226

N. A. Khan, „Real Time Monitoring of Human Body Vital Signs using Bluetooth and WLAN,” International Journal of Advanced Computer Science and Applications, pp. 210 - 216, październik 2016.

S. Singhal, „Smartphone-based colorimetric detection to measure Blood Glucose Levels,” w Eighth International Conference on Contemporary Computing (IC3), Noida, Indie, 2015. DOI: https://doi.org/10.1109/IC3.2015.7346691

O. I. Bilyy, „Noninvasive Optical Sensor for Tissue Spectroscopic,” w European Conference on Biomedical Optics, Munch, Niemcy, 2009. DOI: https://doi.org/10.1364/ECBO.2009.7369_1J

S. Sukaphat, „Heart rate measurement on Android platform,” w 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Chiang Mai, Tajlandia, 2016. DOI: https://doi.org/10.1109/ECTICon.2016.7561442

F. Guede – Fernández, „Real time heart rate variability assessment from Android smartphone camera photoplethysmography: Postural and device influences,” w 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Włochy, 2015. DOI: https://doi.org/10.1109/EMBC.2015.7320085

N. Constant, „Pulse-Glasses: An unobtrusive, wearable HR monitor with Internet-of-Things functionality,” w 12th International Conference on Wearable and Implantable Body Sensor Networks, Cambridge, USA, 2015. DOI: https://doi.org/10.1109/BSN.2015.7299350

G. Xiaoqiang, „An ECG Monitoring and Alarming System Based On Android Smart Phone,” Communications and Network , styczeń 2013.

S. G. Lucena, „ECG monitoring using Android mobile phone and Bluetooth,” w International Instrumentation and Measurement Technology Conference, Piza, Włochy, 2015. DOI: https://doi.org/10.1109/I2MTC.2015.7151585

A. Szczeklik, Choroby wewnętrzne. Przyczyny, rozpoznanie i leczenie, tom I, Medycyna Praktyczna, 2005.

H. Tomiyama, „Influences of age and gender on results of noninvasive brachial-ankle pulse wave velocity measurement - A survey of 12 517 subjects,” Atherosclerosis, marzec 2003. DOI: https://doi.org/10.1016/S0021-9150(02)00332-5

A. Iliff i A. Lee, „Pulse rate, respiratory rate and body temperature of children between two months and eighteen years of age,” Child Development, pp. 237 - 245, grudzień 2010 DOI: https://doi.org/10.1111/j.1467-8624.1952.tb05735.x

Wasąg, D., & Plechawska-Wójcik, M. (2017). Qualitative analysis of telemetry signals based on data gathered by dedicated mobile application. Journal of Computer Sciences Institute, 5, 148–154. https://doi.org/10.35784/jcsi.613

Qualitative analysis of telemetry signals based on data gathered by dedicated mobile application

Issue Vol. 5 (2017)

Archives

DOI

Authors

Abstract

Keywords:

References

License

Article Sidebar

Issue Vol. 5 (2017)

Archives

Main Article Content

DOI

Authors

Abstract

Keywords:

References

Article Details

License