A telemedicine application utilizing DataSocket(R) to remotely track the heart rate variability of patients in a clinical research environment

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 electrocardiograms and shared with other re...

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Main Authors: Atapattu, S.A., Mitrani, R.D.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Cost function
Data acquisition
Data analysis
Demography
Environmental economics
Heart rate variability
Remote monitoring
Spatial databases
Telemedicine
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creator Atapattu, S.A.
Mitrani, R.D.
description 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 electrocardiograms and shared with other researchers online. The key requirements of the remote features were identified as being: speed of implementation, and 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 the patient data and sharing it with colleagues in the hospital in real time.
doi_str_mv 10.1109/ITAB.2000.892351
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identifier ISBN: 9780780364493
ispartof Proceedings 2000 IEEE EMBS International Conference on Information Technology Applications in Biomedicine. ITAB-ITIS 2000. Joint Meeting Third IEEE EMBS International Conference on Information Technol, 2000, p.71-73
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Application software
Cost function
Data acquisition
Data analysis
Demography
Environmental economics
Heart rate variability
Remote monitoring
Spatial databases
Telemedicine
title A telemedicine application utilizing DataSocket(R) to remotely track the heart rate variability of patients in a clinical research environment
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