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1. Heart Rate Variability Analysis of PC Interactive E-Learning Studies
1. Heart Rate Variability Analysis of PC Interactive E-Learning Studies
Abstract :
The objective of this particular research was the analysis of variations in the heart rate variability indicating the functionality of the autonomic nervous system as well as psychotic strain because of computer-based e-learning classroom study in the students. Comprehensive records were obtained from 25 students before and after the computer-based e-learning classroom study for 2 hours having an average age of 21 years and in accordance with two comparable 8.46-minute HRV measurements of each student. The frequency domain and nonlinear analysis of HRV were conducted using the non-parametric FFT spectrum and Poincare plot analysis receptively on RR time series data extracted from ECG recordings. The HRV factors and details disclosed considerable variations in HRV before and after computer-based e-learning classroom study in students.
Keywords :
Heart rate variability, E-learning, FFT spectrum, Poincare plot
Cite This Article :
Arjun Singh Vijoriya | Dr. Ranjan Maheshwari "Heart Rate Variability Analysis of PC Interactive E-Learning Studies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.916-923, URL: https://www.ijtsrd.com/papers/ijtsrd18644.pdf
2. ECG SIGNAL ACQUISITION, FEATURE EXTRACTION AND HRV ANALYSIS USING BIOMEDICAL WORKBENCH
2. ECG SIGNAL ACQUISITION, FEATURE EXTRACTION AND HRV ANALYSIS USING BIOMEDICAL WORKBENCH
Abstract :
This Paper contains the complete process of ECG/EKG signal Acquisition from hardware to its analysis using LabVIEW and Biomedical Workbench. Hardware of ECG has the amplification, filtering and conversion of analog ECG data to digital by using Arduino Uno. The acquisition part deal with acquiring the hardware data to analyzable file format into pc. Here 6-channel ADC in Arduino Uno with LabVIEW interface is used for conversion. Now the acquired ECG data is processed and analyzed with biomedical workbench that provides the various features of ECG signal processing. This system is very easy to implement and cost effective.
Keywords :
2-Lead ECG System, LabVIEW, ECG Signal Processing Tools, ECG
Cite This Article :
Arjun Singh Vijoriya and Dr. Ranjan Maheshwari, ECG Signal Acquisition, Feature Extraction and HRV Analysis Using Biomedical Workbench, International Journal of Advanced Research in Engineering and Technology, 9(3), 2018, pp 84–90. http://www.iaeme.com/ijaret/issues.asp?JType=IJARET&VType=9&IType=3
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