Volume 8 Issue 3 - May 2017

  • 1. Big data in e-health service using wearable sensors

    Authors : Sanket Nirale, Smitha G. R

    Pages : 178-182

    DOI : http://dx.doi.org/10.21172/1.83.025

    Keywords : Wearable device, Sensors, Fiducial feature, Support Vector machine.

    Abstract :

    Big Data being the emerging technology drives many factors such as in weather forecasting, education field, e-commerce, stock exchange market and healthcare. In this digital era healthcare is emerging as a hot topic in the Big Data technology, which generates data from various wearable devices and sensors. The sensor data comprises of all types of data such as structured, unstructured data, maintaining and monitoring of unstructured data is a challenging task which is not possible by the normal processing software’s.Wearable devices such as electrocardiogram, pulse rate generates the data in the form of signals, to extract the values from these signals several algorithms are used such as fiducial feature extraction, support vector machine algorithm, confusion matrix algorithm. These values helps the physician to improve the patient’s health digitally, effectively, efficiently with low investment.

    Citing this Journal Article :

    Sanket Nirale, Smitha G. R, "Big data in e-health service using wearable sensors", https://www.ijltet.org/journal_details.php?id=914&j_id=3747, Volume 8 Issue 3 - May 2017, 178-182, #ijltetorg