System for EKG Monitoring
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2015, Vol 4, Issue 9
Abstract
In this paper the system for the electrocardiogram (EKG) monitoring based on the of Arduino microcontroller is presented. Detailed description of the electrocardiogram itself serves as a ground for building the proposed hardware and software solution. The software implementation is in a form of both, Matlab environment, and own application. Final output enables retrieval of the actual data in real time and further and provide the rudimentary diagnosis. Utilization of such device is for self home diagnosis of arrhythmia.
Authors and Affiliations
Jakub Ševcík, Ondrej Kainz, Peter Fecilak, František Jakab
Keywords
Related Articles
- EP ID EP95428
- DOI 10.14569/IJARAI.2015.040905
- Views 132
- Downloads 0
Clustering Web Documents based on Efficient Multi-Tire Hashing Algorithm for Mining Frequent Termsets
Document Clustering is one of the main themes in text mining. It refers to the process of grouping documents with similar contents or topics into clusters to improve both availability and reliability of text mining...
Improved Scatter Search Using Cuckoo Search
The Scatter Search (SS) is a deterministic strategy that has been applied successfully to some combinatorial and continuous optimization problems. Cuckoo Search (CS) is heuristic search algorithm which is inspired by the...
Automatic Recognition of Human Parasite Cysts on Microscopic Stools Images using Principal Component Analysis and Probabilistic Neural Network
Parasites live in a host and get its food from or at the expensive of that host. Cysts represent a form of resistance and spread of parasites. The manual diagnosis of microscopic stools images is time-consuming and...
Factor Analysis Based Selections
Merger in higher education has been of scholarly interest to researchers in various fields. This work is devoted to challenges related to partner selection for an feasible merger. A systematic approach is proposed...
Discrimination of EEG-Based Motor Imagery Tasks by Means of a Simple Phase Information Method
We propose an off-line analysis method in order to discriminate between motor imagery tasks manipulated in a brain computer interface system. A measure of large-scale synchronization based on phase locking value...