A telemedicine application utilizing datasocket® to remotely track the heart rate variability of patients in a clinical research environment

S. A. Atapattu, Raul Mitrani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We present the remote monitoring and control features of a computer program for the data acquisition, analysis and demographic database of patient data for clinical research. The heart rate variability (HRV) of patients needed to be determined from patient electrocardiogram and shared with other researchers on line. The key requirements of the remote features were identified as being speed of implementation, cost and ease of use while preserving the functionality of the program. The system needed to integrate seamlessly into the clinical environment with minimal, if any, disruption of the standard operating procedures related to patient care. This novel method uses the DataSocket application programming interface (API) to simplify and economically develop the remote communication features of our heart rate variability acquisition and analysis program. We successfully met our goal of remotely collecting our patient data and sharing it with our colleagues in the hospital in real time.

Original languageEnglish
Title of host publicationProceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB
Pages71-73
Number of pages3
StatePublished - Dec 1 2000
EventITAB-ITIS 2000 - Arlington, VA, United States
Duration: Nov 9 2000Nov 10 2000

Other

OtherITAB-ITIS 2000
CountryUnited States
CityArlington, VA
Period11/9/0011/10/00

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Keywords

  • Autonomic nervous system
  • Cardiovascular system
  • Data acquisition
  • Heart rate variability
  • Remote monitoring

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Atapattu, S. A., & Mitrani, R. (2000). A telemedicine application utilizing datasocket® to remotely track the heart rate variability of patients in a clinical research environment. In Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB (pp. 71-73)