Skip to main content

A NOVEL CONTINUOUS BLOOD PRESSURE ESTIMATION APPROACH BASED ON DATA MINING TECHNIQUES

A NOVEL CONTINUOUS BLOOD PRESSURE ESTIMATION APPROACH BASED ON DATA MINING TECHNIQUES

ABSTRACT

                             Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for un obtrusive BP measurement novel continuous BP estimation approach that combines data mining techniques with a traditional mechanism-driven model. First, 14features derived from simultaneous electrocardiogram and photo plethysmogram signals were extracted for beat-to-beat BP estimation A genetic algorithm-based feature selection method was then used to select BP indicators for each subject Experimental results based on 73 subjects showed that the proposed approach exhibited excellent accuracy in static BP estimation

EXISTING SYSTEM

                   Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for unobtrusive BP measurement. However, the accuracy of this approach must be improved for it to be viable for a wide range of applications.

DISADVANTAGES
 Accuracy is very low
 relatively stable
PROPOSED SYSTEM
                   Novel continuous BP estimation approach that combines data mining techniques with a traditional mechanism driven model. First, 14features derived from simultaneous electrocardiogram and photo plethysmogram signals were extracted for beat-to-beat BP estimation A genetic algorithm-based feature selection method was then used to select BP indicators for each subject.

ADVANTAGES
 Increase the accuracy
 Standard deviation in different intervals
 Robustness of the model

REFERENCES
 A. Vchobanian, G. Lbakris, H. Rblack, "The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 Report, " JAMA,vol. 289, no. 19, 2003.
 N. Zakopoulos, G. Tsivgoulis, G. Barlas, "Time Rate of Blood Pressure Variation Is Associated With Increased Common Carotid Artery Intimae-Media Thickness, " Hypertension,vol. 45, no. 4, pp. 505-512, 2005.
 P. Palatini, G. Reboldi, L. Jbeilin, "Added Predictive Value of Night-Time Blood Pressure Variability for Cardiovascur Events and Mortality The Ambulatory Blood Pressure International Study, " Hypertension, vol. 64, no.3, pp. 487-493, 2014.
 Y. T. Zhang, Y. L. Zheng, W. H. Lin, H. Y. Zhang and X. L. Zhou, "Challenges and Opportunities in Cardiovascular Health Informatics," in IEEE Transactions on Biomedical Engineering, vol. 60, no. 3, pp. 633-642, March 2013.


Comments

Post a Comment

Popular posts from this blog

Android Tutorial

Android  is a complete set of software for mobile devices such as tablet computers, notebooks, smartphones, electronic book readers, set-top boxes etc. It contains a  linux-based Operating System ,  middleware  and  key mobile applications . It can be thought of as a mobile operating system. But it is not limited to mobile only. It is currently used in various devices such as mobiles, tablets, televisions etc. This tutorial is developed for beginners and experienced persons. Let's see the topics of android that we are going to learn. Basics of Android In this fundamental chapter, you will learn about android, its components, how to create first android application, internal of first android application etc. What is Android History and Version Software Stack Core Building Blocks Android Emulator Installing softwares Setup Eclipse Hello Android example Internal Details Dalvik VM AndroidManifest.xml R.java Hide Title Bar Activity and I...
Post a Comment
Read more

CLOUD WORKFLOW SCHEDULING WITH DEADLINE AND TIME SLOT ALGORITHM

CLOUD WORKFLOW SCHEDULING WITH DEADLINE AND TIME SLOT ALGORITHM Abstract Allocating service capacities in cloud computing is based on the assumption that they are unlimited and can be used at any time. However, available service capacities change with workload and cannot satisfy users’ requests at any time from the cloud provider’s perspective because cloud services can be shared by multiple tasks. Cloud service providers provide available time slots for new user’s requests based on available capacities. In this paper, we consider workflow scheduling with deadline and time slot availability in cloud computing. An iterated heuristic framework is presented for the problem under study which mainly consists of initial solution construction, improvement, and perturbation. Three initial solution construction strategies, two greedy- and fair-based improvement strategies and a perturbation strategy are proposed. Different strategies in the three phases result in several heuristics. ...
Post a Comment
Read more

MobiContext: A Context-aware Cloud-Based Venue Recommendation Framework

            MobiContext: A Context-aware Cloud-Based Venue Recommendation Framework ABSTRACT  In recent years, recommendation systems have seen significant evolution in the field of knowledge engineering. Most of the existing recommendation systems based their models on collaborative filtering approaches that make them simple to implement. However, performance of most of the existing collaborative filtering-based recommendation system suffers due to the challenges, such as: (a) cold start, (b) data sparseness, and (c) scalability. Moreover, recommendation problem is often characterized by the presence of many conflicting objectives or decision variables, such as users’ preferences and venue closeness. In this paper, we proposed MobiContext , a hybrid cloud-based Bi-Objective Recommendation Framework (BORF) for mobile social networks. The MobiContext utilizes multi-objective optimization techniques to generate personalized recommendat...
Post a Comment
Read more