Design of an ECG acquisition device for the nonlinear analysis of heart rate variability (HRV)

The analysis of time duration between consecutive R waves of ElectroCardioGram (ECG) is a standard method to evaluate the heart rate variations. The physiological literature reveals that the blood glucose levels modulate the Autonomie Nervous System (ANS) activity and HRV which represent the cardiovascular autonomie function. The aim of this project is to highlight the relationship between HRV signal analysis and arterial blood glucose changes in Type-2 diabetic patients which aids the doctors in analyzing the risk factors of a patient in addition to obtaining the ECG signal. In this project, an ECG acquisition hardware was designed to acquire the ECG signals from the subjects with Lead I configuration. This hardware along with the NI-DAQ is used as an interface to test the working of the circuit with LABVIEW. The ECG signals of normal subjects were obtained from the Physionet software. The LABVIEW biomédical toolkit was used for extracting the various features of the ECG and the KUBIOS software package was deployed to perform comprehensive HRV signal.