A mathematical model for the physical properties of electrodes suitable use in electric current computed tomography is discussed. The includes effects discretization, shunt, and contact impedance. complete was validated by experiment. Bath resistivities 284.0, 139.7, 62.3, 29.5 Omega -cm were studied. Values effective impedance used numerical approximations 58.0, 35.0, 15.0, 7.5 -cm/sup 2/, respectively. Agreement between calculated experimentally measured values excellent throughout range...

In this paper, a parallel and unsupervised approach using the competitive Hopfield neural network (CHNN) is proposed for medical image segmentation. It kind of which incorporates winner-takes-all (WTA) learning mechanism. The segmentation conceptually formulated as problem pixel clustering based upon global information gray level distribution. Thus, energy function minimization defined mean squared distance measures levels within each class. avoids onerous procedure determining values...

Objective: Ineffective triggering (IT) is the most common manifestation of patient–ventilator asynchrony in mechanically ventilated patients. IT expiratory phase (ITE) accounts for majority and associated with characteristic features flow airway pressure deflection, caused by ineffective effort from patient. The purpose this study was to quantify characteristics deflections ITE and, using a computerized algorithm, evaluate their usefulness detection ITEs. Design: Prospective, clinical study....

Visual and empirical assessments do not enable the early detection of wound deterioration or necroses. No suitable objective indicator for predicting poor wound-healing is currently available. We used infrared thermography to determine association between temperature pressure-wound healing. examined patients with grades 2–4 pressure ulcers from a medical center in southern Taiwan recorded temperatures bed, periwound, normal skin using thermographic cameras. A total 50 248...

Traditional clustering algorithms (e.g., the K-means algorithm and its variants) are used only for a fixed number of clusters. However, in many applications, actual clusters is unknown beforehand. The general solution to this type problem that one selects or defines cluster validity index performs traditional all possible numbers sequence find with best validity. This tedious time-consuming work. To easily effectively determine optimal and, at same time, construct good validity, we propose...

In this study, the international affective picture system was used to evoke emotion, and then corresponding signals were collected. The features from different points of brainwaves, frequency, entropy identify normal, moderately, markedly ill schizophrenic patients.The collected preprocessed. Then, separated according three types emotions five frequency bands. Finally, calculated using methods entropy. For classification, divided into sections classification support vector machine (principal...

In this paper, an unsupervised parallel segmentation approach using a fuzzy Hopfield neural network (FHNN) is proposed. The main purpose to embed clustering into networks so that on-line learning and implementation for medical image are feasible. idea cast problem as minimization where the criteria optimum chosen of Euclidean distance between samples class centers. order generate feasible results, c-means strategy included in eliminate need finding weighting factors energy function, which...

Abstract Background We aimed to explore relations between symptomatic remission and functionality evaluation in schizophrenia patients treated with paliperidone extended-release (ER), as seen a normal day-to-day practice, using flexible dosing regimens of ER. explored rate flexibly dosed ER by 8 items Positive Negative Syndrome Scale (PANSS) change Personal Social Performance (PSP) scale. Method This was 12-week multicenter, open-label, prospective clinical study conducted in-patient...

Hepatic steatosis is one of the most obvious indicators nonalcoholic fatty liver disease. However, presence many regions with a similar color and shape as lipid droplets in histopathological image complicates task detecting genuine using automated methods. Accordingly, present study proposes boundary segmentation matching (BSMatch) algorithm for based on their unique characteristics. A two-branch RnB-Unet model trained to segment boundaries droplets, respectively, accordance (BM) loss which...

This study presents a novel automatic system for detecting the intimal and adventitial layers of far common carotid artery (CCA) by applying snake techniques. Cohen's is also modified some criteria are added our applications. In addition, oscillating problem using snakes solved properly choosing time step from analysis frequency response filters. The scheme combined with diminishing gravity window an external force makes it possible to detect intima-media complex CCA. Besides, cost function...

Electric current computed tomography is a process for determining the distribution of electrical conductivity inside body based upon measurements voltage or made at body's surface. Most such systems use different electrodes application and measurement voltage. This paper shows that when multiplicity are attached to surface, data most sensitive changes in resistivity interior voltages measured from all electrodes, including those carrying current. assertion true despite presence significant...

Depression is a common and serious mental disorder. About 1.9 million people in Taiwan are identified as having depression. There trend of increase the prevalence depression, three times more depressed persons within past six years. A few patients with depression were treatment. Therefore, an available algorithm will be build to measure neurophysiology In this study, physiological signals from compared those normal people. This experiment use different pictures expresses happiness, sadness...

Background: Transcranial direct current stimulation (tDCS) is considered a potential therapeutic instrument for Alzheimer’s disease (AD) because it affects long-term synaptic plasticity through the processes of potentiation and depression, thereby improving cognitive ability. Nevertheless, efficacy tDCS in treating AD still debated. Dorsal lateral prefrontal cortex main role executive functions. Objective: We investigate effects on patients. Methods: Thirty mild patients aged 66–86 years...

An MLP with a GA was proposed to extract feature subimages containing orthodontic landmarks. Simulated images and cephalograms were used investigate its performance in comparison the cross-correlation method. From results of simulated image shapes different geometrical conditions, it shown that fault tolerance for rotation, scaling, brightness variety, other anomalous deformations is good enough overcome clinical application problems. It also stability, accuracy, speed this algorithm are...

The electrical signals measuring method is recommended to examine the relationship between neuronal activities and measure with event related potentials (ERPs) during an auditory a visual oddball paradigm schizophrenic patients normal subjects. aim of this study discriminate activation changes different stimulations evoked by ERPs subjects.Forty-three were selected as experimental group patients, 40 healthy subjects no medical history any kind psychiatric diseases, neurological or drug...