Stress and fitness monitoring embedded on a modern telematics platform

Telemedicine and e-Health

Volumn 18, Issue 5, 2012, Pages 371-376

  Takenga, Mbusa C ^a   Berndt, Rolf Dietrich ^a   Kuehn, Sebastian ^a   Preik, Petra ^a   Stoll, Norbert ^b   Thurow, Kerstin ^b   Kumar, Mohit ^b   Behrendt, Sabine ^b   Weippert, Matthias ^b   Rieger, Annika ^b   Stoll, Regina ^b  

^a Infokom GmbH   (Germany)

^b UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

e health; fitness; m health; monitoring; stress; telematics platform; telemedicine

Indexed keywords

EHEALTH; ENTIRE SYSTEM; EXPERT MODEL; FITNESS; HIGH STRESS; MHEALTH; MONITORING SYSTEM; PHYSICAL ACTIVITY; PHYSIOLOGICAL SIGNALS; PREVENTIVE MEDICINES; REAL TIME ACQUISITION; TELEMATICS;

ESTIMATION; MONITORING; PHYSIOLOGY; QUALITY OF SERVICE; SCALABILITY; STRESSES; TELEMEDICINE; WIRELESS TELECOMMUNICATION SYSTEMS;

HEALTH;

AMBULATORY MONITORING; ARTICLE; FITNESS; HUMAN; INSTRUMENTATION; MENTAL STRESS; METHODOLOGY; TELEMEDICINE;

HUMANS; MONITORING, AMBULATORY; PHYSICAL FITNESS; STRESS, PSYCHOLOGICAL; TELEMEDICINE;

EID: 84862582920     PISSN: 15305627     EISSN: 15563669     Source Type: Journal    
DOI: 10.1089/tmj.2011.0202     Document Type: Article

References (27)

1. Heil DP, et al. Nonexercise regression models to estimate peak oxygen consumption. Med Sci Sports Exerc 1995;27:599-606.
2. Matthews CE, et al. Classification of cardiorespiratory fitness without exercise testing. Med Sci Sports Exerc 1999;31:486-493. (Pubitemid 29136332)
3. Jovanov E, et al. Stress monitoring using distributed wireless intelligent sensors system. IEEE Eng Med Biol Mag 2003;22:49-55. (Pubitemid 37328163)
4. Microsoft Health Vault. Available at www.healthvault.com (last accessed June 12, 2010).
5. Intel Health Guide. Available at www.intel.com/corporate/healthcare/emea/ eng/healthguide/index.htm (last accessed June 12, 2010).
6. Google Health. Available at www.google.com/health (last accessed June 12, 2010).
7. Zwantschko B, et al. Telematic platform for patient oriented services. J Universal Comput Sci 1998;4:856-864. (Pubitemid 128790117)
8. Woodward B, et al. Design of a telemedicine system using a mobile telephone. IEEE Trans Inf Technol Biomed 2001;5:13-15. (Pubitemid 32302927)
9. Holzmü ller-Laue S, et al. A highly scalable information system as extendable framework solution for medical R&D projects. In: Adlassnig K, Blobel B, Mantas J, Masic I, eds. Studies in health technology and informatics: Medical informatics in a united and healthy Europe. Proceedings of MIE 2009-The XXIInd International Congress of the European Federation for Medical Informatics. Sarajevo: IOS Press, 2009:101-105.
10. Traganitis A, et al. Home monitoring and personal health management services in a regional health telematics network. In: Proceedings of the 23rd Annual International Conference of the IEEE-EMBC. Istanbul, 2001;4:3575-3578. (Pubitemid 35389449)
11. Jea D, et al. Hassle free fitness monitoring. In: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments (HealthNet), June 2008. (TR-UCLA-NESL-200805-02).
12. Kumar M, et al. Fuzzy filtering for physiological signal analysis. IEEE Trans Fuzzy Systems 2010;18:208-216.
13. Neubert S, et al. Mobile real-time data acquisition system for application in preventive medicine. Telemed J E Health 2010;16:504-509.
14. Behrendt S, et al. Realtime processing information management in personal health. In: 7th International Forum Life Science Automation. ISBN: 978-3-938042-23-6. Rostock, Germany, 2009:50-50.
15. Astrand PO, Ryhming I. A nomogram for calculation of aerobic capacity (physical fitness) from pulse rate during sub-maximal work. J Appl Physiol 1954;7:218-221.
16. Jackson AS, et al. Prediction of functional aerobic capacity without exercise testing. Med Sci Sports Exerc 1990;22:863-870.
17. Sproule J, et al. Validity of 20-MST for predicting VO2max of adult Singaporean athletes. Br J Sports Med 1993;27:202-204. (Pubitemid 23300211)
18. Williford HN, et al. Cross-validation of non-exercise predictions of VO2 (peak) in women. Med Sci Sports Exerc 1996;28:926-930. (Pubitemid 26255918)
19. Pober DM, et al. Development and validation of a one-mile treadmill walk test to predict peak oxygen uptake in healthy adults ages 40 to 79 years. Can J Appl Physiol 2002;27:575-589.
20. Bradshaw DI, et al. An accurate VO2max nonexercise regression model for 18-65-year-old adults. Res Q Exerc Sport 2005;76:426-432. (Pubitemid 43027245)
21. Kumar M, et al. Fuzzy filtering for an intelligent interpretation of medical data. Proceedings 3rd Conference on Automation Science and Engineering (2007 CASE), Scottsdale, AZ. Piscataway, NJ: IEEE, 2007:225-230. (Pubitemid 351752591)
22. Shvartz E, Reibold RC. Aerobic fitness norms for males and females aged 6 to 75 years: A review. Aviat Space Environ Med 1990;61:3-11. (Pubitemid 20085316)
23. Kumar M, et al. Fuzzy evaluation of heart rate signals for mental stress assessment. IEEE Trans Fuzzy Systems 2007;15:791-808. (Pubitemid 47577989)
24. Kumar M, et al. Stress monitoring based on stochastic fuzzy analysis of heartbeat intervals. IEEE Trans Fuzzy Systems 2012:99.
25. Kumar M, et al. A mixture of fuzzy filters applied to the analysis of heartbeat intervals. Fuzzy Optimization Decision Making 2010;9:383-412.
26. Kline GM, et al. Estimation of VO2max from a one-mile track walk, gender, age, and body weight. Med Sci Sports Exerc 1987;19,:253-259. (Pubitemid 17110081)
27. George JD, et al. VO2max estimation from a submaximal 1-mile track jog for fit college-age individuals. Med Sci Sports Exerc 1993;25:401-406. (Pubitemid 23086638)