Determination of maximum noise level in an ECG channel under SURE Wavelet filtering for HRV extraction
Título del documento: Determination of maximum noise level in an ECG channel under SURE Wavelet filtering for HRV extraction
Revista: Revista mexicana de ingeniería biomédica
Base de datos: PERIÓDICA
Número de sistema: 000436406
ISSN: 0188-9532
Autores: 1
1
Instituciones: 1Universidade do Estado de Santa Catarina, Florianopolis, Santa Catarina. Brasil
Año:
Periodo: May-Ago
Volumen: 41
Número: 2
Paginación: 56-72
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés Heart Rate Variability (HRV) is the measure of variation between R-R interbeats, it has been demonstrated to be a good representation of physiological features, especially to the alterations in the Autonomic Nervous System (ANS). Considering the values that compose a HRV distribution are extracted from electrocardiography (ECG), many of the electrical disturbances that affect ECG-based diagnosis can also interfere with the results of the HRV analysis. This paper uses a 30-minute portion of a healthy patient (no arrhythmias detected or annotated) from the MIT-BIH ECG database to analyze the effectiveness of the SURE Wavelet denoising method for extracting the HRV from a progressively noisier ECG channel. Results show that the minimum SNR for reliable HRV extraction under these conditions is approximately 5dB and outlines the exponential behavior of HRV extraction for escalating noise levels in the ECG signal
Disciplinas: Medicina
Palabras clave: Sistema cardiovascular,
Diagnóstico,
Ritmo cardiaco,
Electrocardiografía,
Filtrado de señales
Keyword: Cardiovascular system,
Diagnosis,
Heart rate,
Electrocardiography,
Signal filtration
Texto completo: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-95322020000200066&lng=es&nrm=iso&tlng=en