E-Health System for Medical Telesurveillance of Chronic Patients


  • Cristian Rotariu 1. “Gr. T. Popa” Univ. of Medicine and Pharmacy Kogalniceanu No. 9-13, Iasi, Romania and 2. Institute for Computer Science, Romanian Academy Carol I No. 11, Iasi, Romania
  • Hariton Costin 1. “Gr. T. Popa” Univ. of Medicine and Pharmacy Kogalniceanu No. 9-13, Iasi, Romania and 2. Institute for Computer Science, Romanian Academy Carol I No. 11, Iasi, Romania
  • Ioana Alexa “Gr. T. Popa” Univ. of Medicine and Pharmacy, Kogalniceanu No. 9-13, Iasi, Romania E-mail:
  • Gladiola Andruseac “Gr. T. Popa” Univ. of Medicine and Pharmacy, Kogalniceanu No. 9-13, Iasi, Romania
  • Vasile Manta “Gh. Asachi” Technical University, D. Mangeron No. 27, Iasi, Romania
  • Bogdan Mustata ROMSOFT Ltd. Sulfinei No. 18, Iasi, Romania


telemedicine, telemonitoring, biomedical devices, wireless personal area network


The current common goal in medical information technology today is the design and implementation of telemedicine solutions, which provide to patients services that enhance their quality of life. Advances in wireless sensor network technology, the overall miniaturization of their associated hardware low-power integrated circuits and wireless communications have enabled the design of low-cost, miniature, and intelligent physiological sensor modules with applications in the medical industry. These modules are capable of measuring, processing, communicating one or more physiological parameters, and can be integrated into a wireless personal area network. This paper is dedicated to the most complex Romanian telemedical pilot project, TELEMON, which has as goals design and implementation of an electronic-informaticstelecommunications system, that allows the automatic and complex telemonitoring, everywhere and every time, in (almost) real time, of the vital signs of persons with chronic illnesses, of elderly people, of those having high medical risk and of those living in isolated regions. The final objective of this pilot project is to enable personalized medical teleservices delivery, and to act as a basis for a public service for telemedical procedures in Romania and abroad.


Costin H, Rotariu C. (2004) Processing and Analysis of Digital Images. Applications in Biomedical Imagistics, Tehnica-Info Publ. House, Kishinev, Rep. Moldova, 441 pp., ISBN 9975-63-196-7

European Commission, IST Directorate General (2006) Resource book of eHealth projects, Sixth Research and Development Framework Programme

Giansanti D, et al, (2003) Is It Feasible to Reconstruct Body Segment 3-D Position and Orientation Using Accelerometric Data? IEEE Trans. On BME 50(4)

Shorey R. (2006) Mobile, Wireless and Sensor Network: Technology, Applications and Future Directions, Ed. Wiley

Wattenhofer R., (2005), Algorithms for ad hoc and sensor networks, Comp.Comm., 28, p.1498-1504 http://dx.doi.org/10.1016/j.comcom.2004.12.037

Costin H, et al., (2006) A multimedia Telemonitoring Network for Healthcare. Enformatika, Transactions on Engineering, Computing and Technology, Vol. 17, Cairo, pp. 113-118

Costin H, Morancea Octavia, et al. (2008) Integrated system for real time monitoring of patients and elderly people. Ukrainian Journal of Telemedicine and Medical Telematics, Vol. 6, No. 1, pp. 71-75

Rotariu Cr., Costin H., Arotaritei D. and Constantinescu G. (2009) A Low Power Wireless Personal Area Network for Telemedicine, Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering, Vol. 22, pp. 982-985 http://dx.doi.org/10.1007/978-3-540-89208-3_234

Jovanov E., Raskovic D., Hormigo R., (2001) Thermistor-Based Breathing Sensor for Circadian Rhythm Evaluation, Biomedical Sciences Instrumentation, Vol. 37, pp. 493-497



FT232 datasheet at http://www.ftdichip.com/FT232

J. Pan and W.J. Tompkins, (1985), A real-time QRS detection algorithm, IEEE Trans. Biomed. Eng., vol. BME-32, pp. 230-236 http://dx.doi.org/10.1109/TBME.1985.325532

P.S. Hamilton and W.J. Tompkins, Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database, IEEE Trans. Biomed Eng., vol. BME-33, pp. 1157-1165 http://dx.doi.org/10.1109/TBME.1986.325695

Tompkins WJ (ed.). (1993) Biomedical Digital Signal Processing: C-Language Examples and Laboratory Experiments for the IBM PC., Englewood Cliffs, NJ: PTR Prentice Hall

P.S. Hamilton, (2002), Open Source ECG Analysis Software, E. P. Limited, Somerville, Mass, USA.

MSP430 datasheet at http://www.ti.com/MSP430

CC2500 datasheet at http://www.ti.com/CC2500



Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.