Monitoring heart rate variability online using e-health oriented 3G mobile telephone services

Journal of Physics: Conference Series

Volumn 477, Issue 1, 2013, Pages

  G, Goroso D ^a,b   Da, Silva R R ^b   R, Battistella L ^a   M, Odstrcil ^c   M, Paolini ^c   Goroso, D G ^a,b   Da Silva, R R ^b   Battistella, L R ^a   Odstrcil, M ^c   Paolini, M ^c  

^a Hospital of Clinics   (Brazil)

^b UNIVERSIDADE DE MOGI DAS CRUZES   (Brazil)

^c UNIVERSIDAD NACIONAL DE TUCUMÁN   (Argentina)

Author keywords

Cardiac Arrhythmia; FLEEM; Mobile phone; Prevention; Tool

Indexed keywords

BLOOD PRESSURE; CELLULAR TELEPHONES; DIAGNOSIS; DISEASES; HEART; MOBILE PHONES; RISK PERCEPTION; TELEPHONE SETS; TOOLS;

CARDIAC ARRHYTHMIA; CEREBROVASCULAR DISEASE; CLINICAL VALIDATIONS; FLEEM; HEART RATE VARIABILITY; MONITORING ON LINE; PREVENTION; PUBLIC RESOURCES;

CELLULAR TELEPHONE SYSTEMS;

EID: 84891781495     PISSN: 17426588     EISSN: 17426596     Source Type: Conference Proceeding    
DOI: 10.1088/1742-6596/477/1/012036     Document Type: Conference Paper

References (13)

1. Malik, M et al 1996 (Chairman of Writing Committee of Task Force of the European Society of Cardiology and the North American Society of Pacing Electrophysiology): Heart Rate Variability: Standards Meas., Physiological Interpretation, Clinical Use. Circulation 93 1043-1065
2. Camm A J, M Malik et al 1996 Heart rate variability: standards of measurement, physiological interpretation, and clinical use Circulation 93 (5) 1043-1065
3. Ortiz M R, S D Aguilar,J Alvarez-Ramirez, A Martínez, C Vargas-Garcia, R González-Camarena, J C Echeverría 2006 Prenatal RR fluctuations dynamics: detecting fetal short-range fractal correlations 26 (13) 1241-1247
4. Gula, LJ, Krahn, AD, Skanes, A, Ferguson, KA, George, C, Yee, R and Klein, GJ 2006 Heart rate variability in obstructive sleep apnea: a prospective study and frequency domain analysis Ann. Non-invasive Electrocardiology (ANE) 8 144-149
5. Penzel, T, Kantelhardt, JW, Grote, L, Peter, JH and Bunde, A Comparison of detrended fluctuations and spectral analysis for heart rate variability in sleep and sleep apnea IEEE Trans. Biomedical Eng. 50 1143-1151
6. Balocchi R, F Cantini, M Varanini, G Raimondi, J M Legramante and A Macerata 2006 Revisiting the potential of timedomain indexes in short-term HRV analysis Biomedizinische Technik 51 (4) 190-193
7. Sollers J J, T W Buchanan, S M Mowrer, L K Hill and J F Thayer 2007 Comparison of the ratio of the standard deviation of the r-r interval and the root mean squared successivedifferences (SD/rMSSD) to the low frequency-to-high frequency (LF/HF) ratio in a patient population and normal healthy controls Biomedical Sci. Instrum. 43 158-163
8. Lopez, LJR and Goroso DG 2010 Monitoring System of Assessment of Energy Expenditure to Human in Free-living Condition by Mean of Information and Communication Technologies Proc. Med-e-Tel, Luxembourg (Lu) 550-555 ISBN 2179-3220
9. Lopez L J R, DG Goroso e LM Battistella 2011 Sensor Network for Assessment of Energy Expenditure design based on Android IFMBE Proc. 3 130-134
10. Lopez L J R, DG Goroso e LM Battistella 2012 Relationship between triaxial stand-alone and embedded accelerometers in a mobile phone for Healthcare Applications Medical Engnnering Phys.
11. Akselrod, S, Gordon, D, Ubel, FA, Shannon, DC, Berger, AC and Cohen, RJ 1981 Power spectrum analysis of heart rate fluctuations: a quantitative probe of beat-to-beat cardiovascular control Science 213 220-222
12. Malliani A, Montano N 2002 Heart rate variability as a clinical tool Ital Heart J. 3 (8) 439-45
13. Montano N et al 2009 Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior Neurosci Biobehav Rev. 33 (2) 71-80