Qualitative analysis of telemetry signals based on data gathered by dedicated mobile application
Damian Wasąg
wasag.damian@gmail.comInstitute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland (Poland)
Małgorzata Plechawska-Wójcik
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 applicationReferences
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
Google Scholar
J. Weidenmüller, „Telemetric multi-sensor system for medical applications - The approach,” Technisches Messen, styczeń 2017.
DOI: https://doi.org/10.1515/teme-2016-0036
Google Scholar
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
Google Scholar
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
Google Scholar
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
Google Scholar
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.
Google Scholar
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
Google Scholar
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
Google Scholar
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
Google Scholar
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
Google Scholar
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
Google Scholar
G. Xiaoqiang, „An ECG Monitoring and Alarming System Based On Android Smart Phone,” Communications and Network , styczeń 2013.
Google Scholar
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
Google Scholar
A. Szczeklik, Choroby wewnętrzne. Przyczyny, rozpoznanie i leczenie, tom I, Medycyna Praktyczna, 2005.
Google Scholar
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
Google Scholar
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
Google Scholar
Authors
Damian Wasągwasag.damian@gmail.com
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
Authors
Małgorzata Plechawska-WójcikInstitute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland Poland
Statistics
Abstract views: 203PDF downloads: 61
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.