Design and evaluation of a wireless decision-support system for heart rate variability study in haemodialysis follow-up procedures

被引:3
|
作者
Garcia, Jose [1 ]
Trigo, Jesus D. [1 ]
Alesanco, Alvaro [1 ]
Serrano, Pedro [2 ]
Mateo, Javier [1 ]
Istepanian, Robert S. H. [3 ]
机构
[1] Univ Zaragoza, Aragon Inst Engn Res 13A, GTC, Zaragoza 50018, Spain
[2] Univ Hosp Lozano Blesa, Dept Cardiol, Zaragoza, Spain
[3] Kingston Univ, Fac Comp Informat Syst & Math, Mobile Informat & Network Technol Ctr, London KT1 2EE, England
关键词
clinical decision support; HRV; telemedicine; wireless;
D O I
10.1016/j.cmpb.2007.09.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper a new wireless decision-support system for haemodialysis patients using heart rate variability (HRV) is presented. The telemedicine system provides connectivity to three participant sites: the general practitioner or nurse at the point of care in the dialysis unit, the remote information and processing server and the cardiologist. At the clinical point of care, the nurse acquires the electrocardiogram (ECG) by using a tailored mobile telecardiology system as well as other relevant physiological information during the clinical procedure, and sends it to the information server. The received information is stored in a secure file server, linked to the patient database and the ECG signal is automatically analyzed by using advanced signal processing tools in the processing server, where a complete clinical results report is generated. The cardiologist can then be linked by means of a web browser to the information server to analyze these results for further clinical diagnosis support. The system has been applied to study HRV in patients undergoing haemodialysis. The clinical report consisted of trends for time- and frequency-domain HRV indexes and other supplementary information automatically calculated, which show the response of the electrical activity of the heart to the dialysis process and that can be helpful for the follow-up of these patients. The telecardiology framework has been successfully evaluated both by the patients and the hospital personnel showing a high compliance with the system. The design and implementation of the telecardiology system have followed the most recent advances in web technologies, biomedical information and storage standards and signal processing techniques. The presented system can be used as a telemedicine tool for clinical diagnosis support and could also be used in other clinical settings. (C) 2007 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:273 / 282
页数:10
相关论文
共 50 条
  • [21] Long-term follow-up of the circadian rhythm of heart rate and heart rate variability in healthy elderly patients
    Tasaki, Hirofumi
    Serita, Takumi
    Ueyama, Chiaki
    Kitano, Kouei
    Seto, Shinji
    Yano, Katsusuke
    CIRCULATION JOURNAL, 2006, 70 (07) : 889 - 895
  • [22] Resting Heart Rate, Heart Rate Variability, and Mild Hypoglycemia during the Diabetes Control and Complications Trial and Follow-up Study (DCCT/EDIC)
    Fahrmann, Elke
    Adkins, Laura
    Loader, Cameron
    Rice, Kevin
    Driscoll, Henry
    DIABETES, 2014, 63 : A124 - A124
  • [23] Different evolutions in heart rate variability after heart transplantation:: 10-year follow-up
    Beckers, F
    Ramaekers, D
    Speijer, G
    Ector, H
    Vanhaecke, J
    Verheyden, B
    Van Cleemput, J
    Droogné, W
    Van de Werf, F
    Aubert, AE
    TRANSPLANTATION, 2004, 78 (10) : 1523 - 1531
  • [24] HEART RATE VARIABILITY AND COGNITIVE DECLINE: A 10-YEAR FOLLOW-UP OF THE WHITEHALL II COHORT STUDY
    Jandackova, Vera
    Scholes, Shaun
    Britton, Annie
    Steptoe, Andrew
    PSYCHOPHYSIOLOGY, 2018, 55 : S90 - S90
  • [25] The Measurement of Heart Rate in Blood Donors: An Evaluation of Its Usefulness in a Large Retrospective Follow-Up Study
    Germain, M.
    Delage, G.
    Gregoire, Y.
    TRANSFUSION, 2011, 51 : 94A - 94A
  • [26] Prognostic value of heart rate variability during long-term follow-up in chronic haemodialysis patients with end-stage renal disease
    Hayano, J
    Takahashi, H
    Toriyama, T
    Mukai, S
    Okada, A
    Sakata, S
    Yamada, A
    Ohte, N
    Kawahara, H
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 1999, 14 (06) : 1480 - 1488
  • [27] The analysis of heart rate variability in patients after myocardial infarction in long term follow-up
    Mularek-Kubzdela, T
    Breborowicz, P
    Krasnik, L
    Podzerek, T
    Kowal, J
    Grygier, M
    Seniuk, W
    Wróblewska, K
    Grajek, S
    Cieslinski, A
    Baszynska, A
    Popiel, M
    NEW TRENDS IN ELECTROCARDIOLOGY, 2000, : 31 - 34
  • [28] Breast density follow-up decision support system using deep convolutional models
    Park, Sun Young
    Sargent, Dustin
    Richmond, David
    MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS, 2019, 10950
  • [30] HEART-RATE-VARIABILITY IN PATIENTS WITH ORTHOTOPIC HEART-TRANSPLANTATION - LONG-TERM FOLLOW-UP
    FOLINO, AF
    BUJA, G
    MIORELLI, M
    LIVI, U
    NAVA, A
    THIENE, G
    VOLTA, SD
    CLINICAL CARDIOLOGY, 1993, 16 (07) : 539 - 542