Abstract Materials demonstrating a photorefractive effect are principal candidates for numerous applications, including high‐density optical data storage, image processing, phase conjugated mirrors and lasers, dynamic holography, computing, pattern recognition, etc. Considerable progress has been made in the research on polymers composite materials last few years. These have many advantages over inorganic crystals, large nonlinearities, low dielectric constants, cost ease of fabrication. A...

This paper introduces an electrocardiogram beat classification method based on deep belief networks. includes two parts: feature extraction and classification. In the part, features are extracted from original signal: including by networks timing interval features. Several classifiers selected to classify beat, nonlinear support vector machine with Gaussian kernel achieves best accuracy, reaching 98.49. Compared other similar methods classification, our can improve recognition performance of...

The high-speed economic growth of mega city-regions in China has been characterized by rapid urbanization accompanied a series environmental issues ranging from widespread soil contamination to groundwater depletion. This article begins with an analysis the interaction between and ecological system reviews existing frameworks for analyzing urban systems. By taking Beijing-Tianjin-Hebei region as example, introduces conceptual framework analyze forecast possible interactions eco-environment...

Abstract The preparation of a new class aliphatic amino iodane(III) reagents has been realized with the N ‐TMS−amine and acetoxybenziodazole participated in formation N−I bond. amino‐containing reagent 2 d was characterized by single‐crystal X‐ray diffraction, which revealed expected hypervalent iodane distorted T‐shaped geometry. A practical copper‐catalyzed, directed electrophilic amination aryl amines employing amino‐iodane(III) as agents disclosed that proceeded smoothly without external...

With the continuous advances in optical communications technology, link transmission speed of Internet backbone has been increasing rapidly. This turn demands more powerful IP address lookup engine. In this paper, we propose a power-efficient parallel TCAM-based engine with distributed logical caching scheme for dynamic load-balancing. order to distribute requests among multiple TCAM chips, smart partitioning approach called pre-order splitting divides route table into sub-tables processing....

Electrocardiogram (ECG) and human body temperature are the important physiological parameters in body. Through monitoring analyzing ECG temperature, we can know health condition of achieve purpose prevention diagnosis for diseases accordingly. In this paper, a solution portable system is proposed. As front-end subsystem remote medical platform, acquire data measure while sending measured to users' mobile phones by Bluetooth real time. Then, wireless communication modes such as 3G, Wi-Fi,...

China faces a critical situation because its water resources account for merely quarter of the global average. Balancing relationship between economic development and industrial consumption is an important issue China. In this study, reduction model established. The adopts per capita GDP eight zones from 2002–2014. Unit root co-integration tests are employed to analyze stationarity data, triple used fitting variables. Results show that eastern coastal middle Yangtze River regions pass...

Abstract Congestive heart failure (CHF) is a common serious disease that requires number of clinical examinations to diagnose, which are costly and time-consuming. Electrocardiogram (ECG) widely used in the diagnosis various cardiovascular diseases due its advantages non-invasive, convenient cheap, so automatic CHF detection algorithm based on ECG signals can overcome above shortcomings has great application prospects. In this paper, inspired by idea DenseNet computer version, we refined it...

In this paper, we present a practical Electrocardiogram-based (ECG) human authentication method which is very suitable for deployment in mobile devices like smart phones. A user only needs 20 seconds to register his ECG template at the first time and about 4 authenticate afterwards. We firstly extracted heartbeats of every cardiac cycle then separately corrected PQ segments, QRS segments JT divided by fiducials detected earlier heartbeats. At last, reduced feature dimension 80 discrete...

This paper presents an efficient and powerful method of electrocardiogram (ECG) identification. Specially, a set discriminative feature representations can be learned from one-dimensional ECG signals with arbitrary origin through deep learning, referred to as fusion features. Non-linear classifier is adopted classify test signals. A final simple voting step further enhance performance. Based on the above steps, our reduce dependence algorithm accuracy length signal. Unlike traditional...

Abstract The electrocardiogram (ECG) is non-invasive, inexpensive and widely used in several applications, implemented to detect the physical condition disease of human body. Atrial fibrillation (AF) most common many different forms sustained arrhythmia. Therefore, early diagnosis AF may help improve doctor’s diagnostic efficiency essential prevent further progression other heart stroke complications. With popularity machine learning deep learning, more researchers apply them image...

Atrial fibrillation (AF) is the most common cardiac arrhythmia that has significant effects on associated morbidity and mortality. Therefore, early detection of AF by electrocardiogram (ECG) substantial necessary for effective treatments AF. Here, we creatively propose a signal processing method ECG signals develop 94-layer deep neural network to classify 4 rhythm using 8528 different duration single-lead ECGs from The PhysioNet Challenge 2017. And model trained validated databases,...

Many noninvasive continuous blood pressure measurements using photoplethysmography (PPG) are still inadequate in terms of accuracy and stability, which hinders the practical application this method. This paper proposes a model based on ensemble method for BP estimation PPG. A number calculation base-models is built same training data. These used to estimate results each base-model processed synthetically with clustering. Stepwise regression artificial neural networks (ANN) build within...

Electrocardiogram(ECG) is an important physiological signal of the human body. It widely used in identification and arrhythmia detection. The first step ECG application segmentation, that is, QRS An effective real-time detection algorithm proposed this paper. A differentiator with adjustable center frequency to capture derivative information band electrocardiogram. Then Hilbert transform generate envelope derivative. After that, a dual threshold method introduced decrease FP FN. Finally,...

Waveform detection is the basis for automatic analysis of ECG signals, and accuracy has an important effect on assay performance. In a cardiac cycle, R wave characteristics are very obvious easy to identify, so most researchers take as foundation feature extraction. This paper studies principle carries out in-depth discussion some key technologies. As result, intelligent algorithm proposed. The uses filter, multi-order difference Shannon energy transformation process then it adopts improved...

This paper studies the principle of ECG signals applied to identification, particularly considers case users' abnormal conditions. presents an improved multi-template matching algorithm for which can achieve good discrimination effects under abnormality. Normal and templates are constructed by QRS complex, is based on correlation coefficient testing data template. We used 44 files from MIT-BIH Arrhythmia Database (MITDB) measure performance algorithm, extracted normal in 18 as well remaining...

There is a nonlinear relation between the blood glucose and photoplethysmography(PPG) signal. In order to estimate from photoplethysmography signal, this paper presents non-invasive estimation using Near-Infrared spectroscopy based on Support Vector Regression(SVR). The wavelet transform algorithm used remove baseline drift smooth signals. 22 parameters, including features obtained PPG signal some physiological environmental are input parameters of Regression model. comparison estimated...