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Low insulin sensitivity and development of type 2 diabetes might be the consequence of cardiovascular autonomic dysfunction. Cardiovascular autonomic function may be assessed noninvasively by the analysis of the heart rate variability... more
Low insulin sensitivity and development of type 2 diabetes might be the consequence of cardiovascular autonomic dysfunction. Cardiovascular autonomic function may be assessed noninvasively by the analysis of the heart rate variability (HRV) using time-domain, frequency-domain and non-linear methods. Time-domain and frequency-domain methods have been extensively used in subjects with metabolic syndrome but non-linear methods are not commonly employed. In this paper, we use non-linear and time-and frequency-domain methods to analyze the HRV of people that underwent a 2-hour 5-sample oral glucose tolerance test (OGTT). The main goal of this work is to find clinical indicators that could relate insulin sensitivity with HRV parameters in subjects with metabolic syndrome, marathoners and sedentaries people. Results show that, compared with marathoners, people with metabolic syndrome have lower rMSSD, SDNN, SD1 and SD2 during 5-sample OGTT. In LF and LF/HF ratio, marathoners presented increased values and people with metabolic syndrome reduced values respect to sedentaries, showing a parasympathetic activity decreased in people wih metabolic syndrome, but increased in marathoners. Differences found in HRV parameter along the OGTT in people wih metabolic syndrome and marathoners suggest that changes in their cardiac autonomic function are due to sudden increases of insulin levels. OGTT altered HRV parameters in people wih metabolic syndrome, marathoners and sedentaries subjects. HRV was reduced in metabolic syndrome subjects and increased in marathoners comparing with sedentary subjects.
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Resumen. Los deportistas suelen comenzar el ejercicio con un contenido de agua corporal normal y se deshidratan durante la práctica deportiva. El déficit de agua puede contribuir al aumento de la frecuencia cardiaca y por tanto,... more
Resumen. Los deportistas suelen comenzar el ejercicio con un contenido de agua corporal normal y se deshidratan durante la práctica deportiva. El déficit de agua puede contribuir al aumento de la frecuencia cardiaca y por tanto, alteraciones de la variabilidad de la frecuencia cardiaca (VFC) post-ejercicio. En este trabajo se realizó un protocolo para estudiar la deshidratación a partir de la señal electrocardiográfica en deportistas, que comprendió tres fases: i) Pre-ejercicio (basal): se adquirió la señal electrocardiográfica antes de cualquier actividad física, ii) post-ejercicio (PE): los sujetos realizaron una actividad física que consistió en 37
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Heart diseases are the main cause of death worldwide. The first step in the diagnose of these diseases is the analysis of the electrocardiographic (ECG) signal. In turn, the ECG analysis begins with the detection of the QRS complex,... more
Heart diseases are the main cause of death worldwide. The first step in the diagnose of these diseases is the analysis of the electrocardiographic (ECG) signal. In turn, the ECG analysis begins with the detection of the QRS complex, which is the one with the most energy in the cardiac cycle. Numerous methods have been proposed in the bibliography for QRS complex detection, but few authors have analyzed the possibility of taking advantage of the information redundancy present in multiple ECG leads (simultaneously acquired) to produce accurate QRS detection. In our previous work we presented such an approach, proposing various data fusion techniques to combine the detections made by an algorithm on multiple ECG leads. In this paper we present further studies that show the advantages of this multi-lead detection approach, analyzing how many leads are necessary in order to observe an improvement in the detection performance. A well known QRS detection algorithm was used to test the fusion techniques on the St. Petersburg Institute of Cardiological Technics database. Results show improvement in the detection performance with as little as three leads, but the reliability of these results becomes interesting only after using seven or more leads. Results were evaluated using the detection error rate (DER). The multi-lead detection approach allows an improvement from DER = 3:04% to DER = 1:88%. Further works are to be made in order to improve the detection performance by implementing further fusion steps.