Customization of Graphical Visualization for Health Parameters in Health Care Applications
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 9
Abstract
In the 21st century, health care systems worldwide are facing many challenges as a result of the growing concern of diseases in humans, such as intestine, breathing, paralysis, nutritional value, and urogenital disorders. The use of the mobile technology in the field of healthcare system not only reduces the cost but also facilitates quality of the long-term health care, intelligent automation and rationalization of patient health monitoring wherever needed. While regular monitoring of the readings of the vital signs is critical, it is often overlooked because of the busy life schedule. There is a number of apps for health monitoring systems, but users are generally not satisfied with these applications because of the lack of custom graphical visualization of parameters representations like daily, weekly or yearly graphs, and the relationship between the vital signs. In this research study, we identify a principal issue in the health monitoring application, which is the custom graphical visualization of parameters representations of the health monitoring application. To solve the identified problems in this research study, we focus on the design and implementation of custom graphical visualization of parameters for health monitoring applications. The model emphasizes on the monitor, save and retrieve logs. System usability scale has been modified and evaluated for usability, learnability, and customization of the graph. In this research study, we took N=20 in observation for collecting the readings of Heart Rate, Skin Temperature, Respiration, and Glucose Rate. A total number of responses collected were R=60 from the age group of 24 to 40 years. Comparisons were made between three different Android based health monitoring applications, i.e., S-Health, Health Monitoring and the developed applications. The usability and learnability responses for the developed application as compared to other two applications are significantly high. The overall System Usability Score for the developed application was significantly high.
Authors and Affiliations
Saima Tunio, Hameedullah Kazi, Sirajuddin Qureshi
Keywords
Related Articles
- EP ID EP260684
- DOI 10.14569/IJACSA.2017.080913
- Views 101
- Downloads 0
Image Mining: Review and New Challenges
Besides new technology, a huge volume of data in various form has been available for people. Image data represents a keystone of many research areas including medicine, forensic criminology, robotics and industrial autom...
DBpedia based Ontological Concepts Driven Information Extraction from Unstructured Text
In this paper a knowledge base concept driven named entity recognition (NER) approach is presented. The technique is used for information extraction from news articles and linking it with background concepts in knowledge...
Automatic Music Genres Classification using Machine Learning
Classification of music genre has been an inspiring job in the area of music information retrieval (MIR). Classification of genre can be valuable to explain some actual interesting problems such as creating song referenc...
Intelligent Image Watermarking based on Handwritten Signature
With the growth of digital technology over the past decades, the issue of copyright protection has become especially important. Digital watermarking is a suitable way of addressing this issue. The main problem in the are...
Distributed GPU-Based K-Means Algorithm for Data-Intensive Applications: Large-Sized Image Segmentation Case
K-means is a compute-intensive iterative algorithm. Its use in a complex scenario is cumbersome, specifically in data-intensive applications. In order to accelerate the K-means running time for data-intensive application...