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Hereditary non-polyposis colorectal cancer (HN-PCC) is one of the most common autosomal dominant diseases in developed countries. Here, we report on a system to identify the risk of a family having HNPCC based on its history. This is important since population-wide genetic screening for HNPCC is not currently considered feasible due to its complexity and expense. If the risk of a family having HNPCC...
Sleep apnea syndrome (SAS) is a very common sleep disorder disease. Reliable detection of apnea is very crucial for subsequent treatment. In this article, a novel method based on artificial neural network is proposed for such purpose. With its time-invariant property the time delay neural network (TDNN) is adopted in this system to employ the temporal trend of apnea event. As airflow and SaO take...
Clinical proteomics is an emerging field that will have great impact on molecular diagnosis, identification of disease biomarkers, drug discovery and clinical trials in the post-genomic era. Protein profiling in tissues and fluids in disease and pathological control and other proteomics techniques will play an important role in molecular diagnosis with therapeutics and personalized healthcare. We...
Design of low-cost, miniature, lightweight, ultra low-power, flexible sensor platform capable of customization and seamless integration into a wireless biomedical sensor network(WBSN) for health monitoring applications presents one of the most challenging tasks. In this paper, we propose a WBSN node platform featuring an ultra low-power microcontroller, an IEEE 802.15.4 compatible transceiver, and...
Time synchronization is necessary to a wireless sensor network (WSN). Existing time synchronization methods are mostly designed for large scale ad hoc network and are not suitable for small star network like wireless physiological information sensor network (WPISN). In this article we present a simple and power-efficient time synchronization method designed specially for WPISN, reference on demand...
To compare large numbers of genomic sequences of related virus, such as HIV, biologists have an increasing need for a method that can efficiently handle hundreds, even thousands, of genomic sequences accurately enough to correctly align these conserved features. In this paper, we introduce a new and efficient tool named SMA that can easily accommodate large-scale virus genomic sequences. A high-throughput...
The present study was focused on developing a computational procedure for analysis of the HPLC metabonomics fingerprints of human urine to distinguish between patients with breast cancer from healthy people. The predictive rate of support vector machine (SVM) based diagnosis model is 100% for training set and 93.2% for test set, respectively. Current work might have important reference values to explore...
In this paper, a hybrid progressive algorithm to recognize type II diabetic based on hair mineral element levels is proposed. Hair samples of 244 cases (Table 1) are collected from 51 healthy persons (one case each person), 47 unchecked diabetics (one case each person) and 73 checked diabetics (two cases each person). 8 hair elements (Mg, Ca, Fe, Cu, Zn, Se, Cr and Mn) are measured. The hybrid progressive...
Based on the analogy between the B-spline curve modeling and the force-deflection behavior of a beam subjected to lateral point loads, an extension to the B-spline surface modeling method was introduced. The proposed method has strong extrapolating capability and can develop accurate surface models over an incomplete net of data points without affecting the original data. Extrapolation of the incomplete...
The objective of this study was to simulate clamping of the aorta. It is computationally demanding and involves contact between clamp and aorta, large deformations, and fluid-structure interactions (FSI). Models of the aortic root and clamp were created and solve in ADINA, a finite element analysis package. The tissue model was created using a non-linear material. Fluid-structure interactions (FSI)...
Inspiring product is a kind of product that enhances the existing product with a close-loop system to detect the user's health and to inspire the body in a beneficial way. The bio-signals of the users are being measured and the body is stimulated while the traditional functions of the product are used. An inspiring computer mouse prototype is specialized in this paper as an example of inspiring product...
An impedance cardio-vasograph (ICVG) system has been developed at the Electronics Division, Bhabha Atomic Research Centre (B.A.R.C) for the assessment of peripheral blood flow and has been installed at the Department of Medicine, JJ. Hospital, Mumbai, India. Impedance cardio-vasography (ICVG) gives an indirect assessment of blood volume changes by measurement of normalized rate of change of electrical...
EEG-based brain-computer interface (BCI) systems convert brain activity into control signals and have been developed for people with severe disabilities to improve their quality of life. A BCI system has to satisfy different demands depending on the application area. A laboratory PC based system allows the flexible design of multiple/single channel feature extraction, classification methods and experimental...
The purpose of this paper is to investigate the auditory discrimination skill of Malay children using computer-based method. Currently, most of the auditory discrimination assessments are conducted manually by speech-language pathologist. These conventional tests are actually general tests of sound discrimination, which do not reflect the client's specific speech sound errors. Thus, we propose computer-based...
This paper presents a novel soft computing system for differential diagnosis of the dysarthrias and apraxia of speech based on well accepted dysarthrias' classification system used by speech and language pathologists. The dysarthrias and apraxia are complex disorders of speech because they represent a variety of neurological disturbances that can potentially affect every component of speech production...
SARS is an acute infectious disease and can cause a large amount of death. Up until now we have not known it well. With the experimental results of micronutrients of 30 SARS patients and 30 non-SARS patients, using rough set theory we induce some classification rules. Attribute reduction results show that micronutrients Fe, Ca, K and Na are necessary and sufficient for classification, whereas micronutrients...
Recently, cancer classification based on gene expression has been developed. This gives a hope for the discrimination of cancer to a more systematic direction. However, there're many challenges existing in the new method. Maybe the most important one is the unbalance that so few training samples exist compared to so huge genes been collected. So feature selection becomes one center problem of the...
We introduce OSD (orthodontic simulation and diagnosis) system, which provides 3-D measurement to the dentists. OSD takes dental casts produced by 3-D scanners as inputs, and simulates what the dentists usually do on the real casts. The cast models are displayed in multiple views, so it is convenient for the user to have a good look from arbitrary positions. Most of the common diagnoses are supported,...
The set of gene micro-arrays, which consists of two leukemia types, was used as a target to evaluate the efficiency of novel integrated data mining classification process. Discovering the most relevant subset of genes among few thousands of analyzed genes is necessary to get accurate disease classification. Dimensional complexity of the classification process was reduced by a filter based on mutual...
Identification of genetic markers is a crucial step in the diagnosis, prognosis, and treatment of disease. This paper focuses on the application of a supervised classification technique, support vector machines (SVM), to high dimensional microarrays for marker identification. A case study of renal cell carcinoma (RCC) is used here to demonstrate and test the ability of SVMs to identify real biological...
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