Pulse wave velocity (PWV) is the most popular index to assessment the arterial stiffness. Currently, several non-invasive examination methods with single channel for PWV are announced. This paper proposes a non-invasi...
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ISBN:
(纸本)0769521738
Pulse wave velocity (PWV) is the most popular index to assessment the arterial stiffness. Currently, several non-invasive examination methods with single channel for PWV are announced. This paper proposes a non-invasive digital volume pulse (DVP) measuring system using a dual channel simultaneous measurement method try to meet the demands for home healthcare equipment which is easy to operate. Through synchronal technical in measuring DVP signals from finger and toe can achieves more precise time and substantially reduces the time spend in measurement procedures. In the other side, the proposed system developed an algorithm to locate the "Foot of the wave" without facilitating of electrocardiogram (ECG).
作者:
P. NurmiDepartment of Computer Science
Helsinki Institute for Information Technology (HIIT) / Basic Research Unit University of Helsinki Helsinki Finland
Mobile agents acting in wireless ad hoc networks are energy constrained, which leads to potential selfishness as nodes are not necessarily willing to forward packets for other nodes. Situations like this are tradition...
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Mobile agents acting in wireless ad hoc networks are energy constrained, which leads to potential selfishness as nodes are not necessarily willing to forward packets for other nodes. Situations like this are traditionally analyzed using game theory and recently also the ad hoc networking community has witnessed game-theoretic approaches to especially routing. However, from a theoretical point-of-view the contemporary game-theoretic approaches have mainly ignored two important aspects: non-simultaneous decision making and incorporating history information into the decision making process. In this article we propose a new model that fills these gaps and allows to analyze routing theoretically.
Embedded fiber Bragg gratings (FBGs) have been fabricated for use as pressure sensors to measure forces applied in the direction perpendicular to the fiber axis. The 1 cm length acrylate-coated FBGs were embedded into...
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Embedded fiber Bragg gratings (FBGs) have been fabricated for use as pressure sensors to measure forces applied in the direction perpendicular to the fiber axis. The 1 cm length acrylate-coated FBGs were embedded into fiber-reinforced composites in two orientations in separate samples to test the properties of pressure sensor in each case. In samples where the FBG is embedded in parallel to the carbon fiber, the reflected spectrum remains a single wavelength peak as expected from an FBG. However, for samples where the FBG is placed at 90deg to the carbon fiber, peak split was observed. Scanning electron microscopy (SEM) of the embedded acrylate-coated fiber shows that the FBG embedded parallel to the carbon fiber is wrapped completely while the FBG embedded at 90deg to the carbon fiber is difficult to be wrapped well, suggesting the existence of longitudinal inhomogeneity
We characrerite the eflects of external stimulation on central and peripheral sinoatrial node (SAN) celh using the Zhang et al. model [XI. Phase transition curves (PTCs) for brief (0.5ms) depolarizing and hyperpolaris...
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We characrerite the eflects of external stimulation on central and peripheral sinoatrial node (SAN) celh using the Zhang et al. model [XI. Phase transition curves (PTCs) for brief (0.5ms) depolarizing and hyperpolarising electrical current pulses of varying amplitude and of timing spanning the whole period are obtained. The application of a critical depdarizing stimulus (about 0.4 nA) during the late repolarization phase of the action potential resulted in annihilation of activity in central SAN cells, revealing the existence of a stable singularity in the corresponding model con3guration. The peripheral SAN cell does not exhibit a similar singularity and annihilation Of the normal acrivity.
A 12.8-Gb/s InP HBT limiting amplifier for driving a distributed modulator driver has been designed. The limiting amplifier has cross-point and gain-control features. The key block of the amplifier is a cascode emitte...
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A 12.8-Gb/s InP HBT limiting amplifier for driving a distributed modulator driver has been designed. The limiting amplifier has cross-point and gain-control features. The key block of the amplifier is a cascode emitter-coupled pair with Schottky diode output clamps to achieve the limiting function. The cross-point feature is realized by generating a DC offset current for the emitter-coupled pair. The limiting amplifier was fabricated in a 1.5-/spl mu/m InP HBT process. The measured cross-point control range and rise/fall time are 33% to 83%, 15.8ps/10.4ps respectively.
A method for arrhythmic episode classification using only the RR-interval signal is presented. The method is based on fuzzy logic and Markov models, while classification is performed for nine categories of cardiac rhy...
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A method for arrhythmic episode classification using only the RR-interval signal is presented. The method is based on fuzzy logic and Markov models, while classification is performed for nine categories of cardiac rhythms. A two-stage classifier is applied. In the first stage, a fuzzy system classifies the episode using the mean value and standard deviation of the RR-intervals. In the second, the RR-interval signal is transformed to character sequences, which are classified by Markov models. Two representation techniques are used for the extraction of the character sequences: symbolic dynamics and one based on the RR-interval length. The classification of an episode is achieved combining the outcomes of the two stages. The MIT-BIH arrhythmia database is used for the evaluation of the proposed method. The obtained results indicate high performance (accuracy 73%) in arrhythmic episode classification.
Fast and robust fingerprint matching is a challenging task today in fingerprint-based biometric systems. A fingerprint matching algorithm compares two given fingerprints and returns either a degree of similarity or a ...
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Fast and robust fingerprint matching is a challenging task today in fingerprint-based biometric systems. A fingerprint matching algorithm compares two given fingerprints and returns either a degree of similarity or a binary decision. Minutiae-based fingerprint matching is the most well-known and widely used method. This paper reveals a new technique of fingerprint matching, using an efficient data structure, combining the minutiae representation with the individual usefulness of each minutia, to make the matching more powerful. Experimental results exhibit the strength of this method.
In this article, an attempt is made to solve the clustering problem using a pipelined genetic algorithm, which is a faster version of the conventional genetic algorithm. In the pipelined genetic algorithm, the genetic...
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In this article, an attempt is made to solve the clustering problem using a pipelined genetic algorithm, which is a faster version of the conventional genetic algorithm. In the pipelined genetic algorithm, the genetic operators are pipelined in such a way that their execution overlaps in time; thereby providing an overall speedup of the process. Since the conventional selection requires the computation of the fitness values of all the chromosomes before the selection process begins, it has been modified in pipelined GA to a version that uses a statistical distribution function. Both crisp and fuzzy clustering problems can be solved using pipelined GA. An analysis of the speedup obtained in case of software pipeline is provided.
A testable realization of Generalized Reed-Muller (GRM) or EXOR Sum-of-Products (ESOP) expression has been proposed that admits a combined universal test set of size (2n+6) for detection of stuck-at and bridging fault...
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A testable realization of Generalized Reed-Muller (GRM) or EXOR Sum-of-Products (ESOP) expression has been proposed that admits a combined universal test set of size (2n+6) for detection of stuck-at and bridging faults. For GRM implementation, the test set detects all single stuck-at and bridging faults (both OR and AND type) and a large number of multiple bridging faults. For ESOP, a few single bridging faults may remain untested, occurrence of which can be avoided by employing a design and layout technique. The test set is independent of the function and the circuit-under-test and can be stored in a ROM on chip for built-in self-test. For several benchmark circuits, the size of the test set is found to be much smaller than an ATPG-generated test set or those of the previous methods.
In this work a novel automated method, combining time-frequency analysis and expert's knowledge, for the classification of atrial tachyarrhythmias is presented. It is based on the analysis of small ECG segments an...
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In this work a novel automated method, combining time-frequency analysis and expert's knowledge, for the classification of atrial tachyarrhythmias is presented. It is based on the analysis of small ECG segments and their classification into three categories of cardiac rhythm: (a) atrial fibrillation, (b) atrial flutter and (c) normal sinus rhythms. Time-frequency analysis is used to calculate the power spectrum density for each segment. Several spectral characteristics are extracted from the power spectrum density, representing the energy distribution on the time-frequency plane. These characteristics are used as input in an artificial neural network, which classifies each ECG segment into one of the three categories. The method is validated using the MIT-BIH arrhythmia database and the obtained average sensitivity and specificity are 93.4% and 96.5%, respectively.
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