Poster | 6th Internet World Congress for Biomedical Sciences |
Marcelino Martinez_Sober(1), Juan Guerrero(2), Gustavo Camps i Valls(3), Antonio J. Serrano López(4), José David Martín Guerrero(5)
(1)Universidad de Valencia - Burjassot. Spain
(2)Departamento de Electrónica. Universidad de Valencia - Burjassot. Spain
(3)Universitat de València - Burjassot, Valencia. Spain
(4)Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain
(5)G.P.D.S. Departament d´Enginyeria Electrònica. Universitat de València - Burjassot. Spain
Contact address: |
Marcelino Martinez_Sober Universidad de Valencia Fac. Fisica. Dep. Ingenieria Electronica Dr. Moliner, 50 Burjassot Valencia 46100 Spain marcelino.martinez@uv.es |
[Cardiolovascular Diseases] |
[Health Informatics] |
A computerised system for acquisition and analysis of Holter recordings has been developed in the present work. The system is constituted by three stages. First, the analog Holter recordings are digitalised connecting the Reynolds Medical Holter tape-reader output to a data acquisition card. Signal is discretized at a sampling rate of 250 Hz., with 12-bit resolution, and then stored in a CD-ROM. In order to facilitate the digitalisation process, a user-friendly program has been developed, allowing the user to operate and adjust the parameters involved (gain, offset, etc.).
The second process is the analysis process in which we specify the time intervals of interest. Another integrated graphical interface has been developed using Matlab and allowing the cardiology specialist to visualise the ECG signal at every time instant and to mark fiducial points along the sequence.
The QRS detector constitutes the third step and will use these marks in order to automatically obtain the whole 24 hours RR-series. In order to avoid deformation of subsequent studies, an ectopic detection algorithm has been included which will take into account any detection failures.
The whole system allows the acquisition of long RR series, its storage in a commonly used support (CDROM) as soon as the employ of a easy-use visual interface, its low cost and a high analysis capability due to the diverse mathematical functions of the Matlab software
[Cardiolovascular Diseases] |
[Health Informatics] |