Skip to main navigation menu Skip to main content Skip to site footer

A Telehealth System for Remote Auditory Evoked Potential Monitoring

A Telehealth System for Remote Auditory Evoked Potential Monitoring




Section
Artículo Original

How to Cite
Millan, J., & Yunda, L. (2013). A Telehealth System for Remote Auditory Evoked Potential Monitoring. NOVA, 11(19). https://doi.org/10.22490/24629448.1014

Dimensions
PlumX
license

Licencia Creative Commons

NOVA by http://www.unicolmayor.edu.co/publicaciones/index.php/nova is distributed under a license creative commons non comertial-atribution-withoutderive 4.0 international.

Furthermore, the authors keep their property intellectual rights over the articles.

 

Jorge Millan
    Leonardo Yunda

      A portable, Internet-based EEG/Auditory Evoked Potential (AEP) monitoring system was developed for remote electrophysiological studies during sleep. The system records EEG/AEP simultaneously at the subject’s home for increased comfort and flexibility. The system provides simultaneous recording and remote viewing of EEG, EMG and EOG waves and allows on-line averaging of auditory evoked potentials. The design allows the recording of all major AEP components (brainstem, middle and late latency EPs) and constituent single sweep EEG epochs. Auditory stimulation is remotely controlled from any internet-connected PC. The developed platform consists of a portable server computer for data acquisition and secured data transmission to the Internet, a web server for temporary storage, and a remote viewing station. During operation, signals are acquired during sleep and transmitted to the secured web server for controlled access viewing. The remote viewer station allows the user to continuously visualize the auditory evoked potentials, modify auditory stimuli at any time and adjust system parameters for its online computation. The developed internet-based EEG/EP system has been tested in a laboratory environment. Preliminary results demonstrate feasibility of remote real-time acquisition and viewing of EEG and EPs and future potential for home monitoring and telemedicine applications.

      Article visits 168 | PDF visits 82


      Downloads

      Download data is not yet available.
      1. M. Rosekind, A. B. Thomas, J. Coates and C. Thoresen, “Telephone transmission of all-night polysomnographic data from subjects’ homes”, The Journal of Nervous and Mental Disease. 1978; 166: 438-441.
      2. P Loula, E. Rauhala, M. Erkinjuntti, E. Raty, K. Hirvonen and V. Hakkinen, “Distributed clinical neurophysiology”, Journal of Telemedicine and Telecare. 1997; 3: 89-95
      3. Ltc. D. Kristo, A. H. Eliasson, R. Poropatich, C. M. Netzer, J. Bradley, D. Loube and N. C. Netzer, “Telemedicine in the sleep laboratory: feasibility and economic advantages of polysomnograms transferred online”, Telemedicine Journal and
      4. e-Health. 2001;7(3):219-224.
      5. L. De Luca, “TeleEEG: A telemedical software package for EEG”, Future Generation of Computer Systems. 1998; 14: 61-66.
      6. N.B. Finnerup, A. Fuglsang-Frederiksen, P Rossel and P. Jen-num, “A computer-based information system for epilepsy and electroencephalography”, International Journal of Medical Informatics. 1999; 55:127-134.
      7. M. Kuntalp and O. Akar, “A simple and low-cost Internet-based teleconsultation system that could effectively solve the health care problems in underserved areas of developing countries”, Computer Methods and Programs in Biomedicine. 2004; 75: 117-126.
      8. V. I. Nenov, F. Buxey and Y. Yamaguchi, “BRAVO/TeleTrend: A Comprehensive WWW-based Neuromonitoring System for the Neurosurgery ICU”, Medicine Meets Virtual Reality, J. D. Westwood et. al. (Eds) IOS Press. 1999: 228-234.
      9. E Jovanov, D. Starcevic, A. Samardzic, A. Marsh and Z. Obre-novic, “EEG analysis in a telemedical virtual world”, Future Generation Computer Systems. 1999;15: 255-263.
      10. G. Muller, C. Neuper and G. Pfurtscheller, “Implementation of a telemonitoring system for the control of an EEG-based brain-computer interface”, IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2003; 11: 54-59.
      11. C. E. Elger and W Burr, “Advances in telecommunications concerning epilepsy”, Epilepsia. 2000; 41(5): S9-S12.
      12. D. Holter, J. Cameron and C. Binnie, “Tele-EEG in epilepsy: review and initial experience with software to enable EEG review over a telephone link”, Seizure. 2003; 12: 85-91.
      13. F Abdenbi, A. Ahnaou, S. Royant-Parola, H. Nedelcoux, S. Rouault, D. Alfandary, C. Lepajolec and P Escourrou, “Ambulatory sleep recording in a healthcare network: a feasibility
      14. study”, CR Biologies. 2002; 325: 401-405.
      15. D. Padeken, D. Sotiriou, K. Boddy and R. Gerzer, “Health Care in Remote Areas”, Journal of Medical Systems. 1995; 19(1): 69-76.
      16. D. Kristo, A. H. Eliasson, N. C. Netzer and T. Bigott, “Application of Telemedicine to Sleep Medicine”, Sleep and Breathing. 2001; 5(1): 97-99.
      17. T. Penzel, “Prototypes and Applications in Neurotelemedicine”, European Neurological Network, T. Paiva and T. Penzel (Eds) IOS Press 2000: 89-99.
      18. S B Uldal, J. Amerkhanov, S. Manankova, A. Mokeev and J. Norum, “A mobile telemedicine unit for emergency and screening purposes: experience from north-west Russia”, Journal of Telemedicine and Telecar. 2004; 10:11-15.
      19. P Escourrou, S. Luriau, M. Rehel, H. Nedelcoux and J-L. Lanoe, “Needs and Costs of Sleep Monitoring”, European Neurological Network, T. Paiva and T. Penzel (Eds) IOS Press. 2000:69-84.
      20. N. Pelletier-Fleury, F. Gagnadoux, R. Rakotonanahary, J-L. Lanoe and B. Fleury, “A Cost-Minimization Study of Telemedicine”, International Journal of Technology Assessment in Health Care.2001; 17(4):604-611.
      21. D. Papakostopoulos, J. C. Dean Hart, S. Papakostopoulos, K. Dodson and A. Williams, “Standardized visual evoked potentials for telematic electrodiagnosis from five laboratories in three European countries”, Journal of Telemedicine and Telecare. 1999; 5: 23-31.
      Sistema OJS 3.4.0.5 - Metabiblioteca |