Big data analytics with graphical techniques applied to electrocardiogram data

摘要

Analysis and processing of large data sets represent a significant challenge. Massive data sets are collected and studied in numerous domains, from engineering sciences to social networks, biomolecular research, commerce, and security. Extracting valuable information from big data requires innovative approaches that efficiently process large amounts of data as well as handle and, moreover, utilize their structure. Big data can be used to solve a variety of problems with significant cost reduction cost by following the process in the figure. The term "Big Data" is now a popular way to refer to massive digital information available in both structured and unstructured form integrated from multiple, diverse, dynamic sources of information. In this research we applied big data analytics with graphical techniques for the study of environmental influence on the human body. The hypothesis we wanted to check is that sounds and especially music have a special effect on human body further on influencing the level of cognition. The provided environment was changed and measurements have been achieved as regards the heart rates by carrying out electrocardiograms (ECG) on the subjects. The measurements produced huge amount of data that have to be integrated and analyzed considering various parameters. We have chosen to analyses and visualize the data in LabVIEW.