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Identifying anomalies and contamination in datasets is important in a wide variety of settings. In this paper, we describe a new technique for estimating contamination in large, discrete valued datasets. Our approach considers the normal condition of the data to be specified by a model consisting of a set of distributions. Our key contribution is in our approach to contamination estimation. Specifically,...
This article presents a simple yet unique health monitoring system especially for the critical or unattended patients who need continuous observation. In this system patients' physical information i.e. body temperature, pulse rate, blood glucose level have been measured using different sensors which are then automatically uploaded to online for observation of their physicians or the relatives who...
Medical monitoring system using the pervasive computing has the potential to improve the quality of health care of an individuals. It's repeatedly represented as one of the research areas. Our model provides an approach of mobile computing technologies for improving the communication among the patients, physicians and other health care organizations. The IRS will provide continuous and long term approach...
Objective-type total internal reflection fluorescence technique and Gaussian fit single particle tracking algorithm have been used to study the constrained Brownian motion characteristics of single fluorescent microspheres of 40 nm diameter in real-time. Three-dimensional tracking has been realized from the two-dimensional images by utilizing the exponential decay of the fluorescence intensity excited...
A method is presented to non-invasively separate the fetal phonocardiograms (FPCG) of the fetuses in a multiple fetus pregnancy. The method uses a device like a stethoscope. We assume that the phonocardiograms of the fetuses are statistically independent. Results of simulations are included in the paper.
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