Development of a Matlab software for analysis of heart rate variability

Author

De Carvalho, João Luiz Azevedo ; Rocha, Adson Ferreira da ; Nascimento, Francisco Assis de Oliveira ; Neto, João Souza ; Junqueira, Luiz Fernando

Author_Institution

Dept. of Electr. Eng., Brasilia Univ., Brazil

Volume

2

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

1488

Abstract

The analysis of heart rate variability (HRV) signals is an important tool for studying the autonomic nervous system, as it allows the evaluation of the balance between the sympathetic and parasympathetic influences on heart rhythm. This paper presents a tool for analysis of HRV called ECGLab, which was developed in Matlab language in order to help research on HRV by making the analysis process faster and easier. The software obtains the HRV signal by using an automatic QRS detection algorithm. The user can inspect the ECG and correct mistakes in the detection process, and also identify ectopic beats. Importing RR intervals from previously typed ASCII files is also possible. Some of the most popular HRV analysis techniques were implemented: statistical and time series analysis, spectral analysis (using FFT, autoregressive and Lomb methods), Poincare plot analysis and sequential trend analysis.

Keywords

Poincare mapping; autoregressive processes; electrocardiography; fast Fourier transforms; medical signal detection; medical signal processing; neurophysiology; spectral analysis; statistical analysis; time series; ECG; ECGLab; FFT; Lomb methods; Matlab software; Poincare plot analysis; RR intervals; automatic QRS detection algorithm; autonomic nervous system; autoregressive methods; ectopic beats; heart rate variability; heart rhythm; parasympathetic influences; previously typed ASCII files; sequential trend analysis; signal analysis; spectral analysis; statistical analysis; sympathetic influences; time series analysis; Electrocardiography; Heart rate variability; MATLAB; Open source software; Rhythm; Signal analysis; Signal processing algorithms; Software algorithms; Spectral analysis; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1180076

Filename

1180076