Epilepsy is a common neurological disorder with sudden and recurrent seizures. Early prediction of seizures effective intervention can significantly reduce the harm suffered by patients. In this paper, method based on nonlinear features EEG signal gradient boosting decision tree (GBDT) proposed for early epilepsy First, signals were divided into two categories: those that had onset over period time (represented InT) did not. Second, noise in was removed using complementary ensemble empirical...

Epilepsy is one of the most common neurological disorders worldwide and can cause brain to stop working properly or even endanger life patient. prediction a prerequisite for seizure control, allowing preventive measures mitigate damage control seizures. It has been found that abnormal activity begins some time before seizure, which known as pre-ictal state. In this study, we reconsidered temporal scope period divided it into multiple windows. A patient-specific method based on deep residual...

Mental fatigue is a common phenomenon in our daily lives. Long-term can lead to decline person’s operational functions and seriously affect work efficiency. In this paper, method that recognizes the degree of mental based on relative band power fuzzy entropy Electroencephalogram (EEG) proposed. The N-back experiment was used induce subjects, corresponding EEG signals were recorded during experiment. A preprocessing complementary ensemble empirical modal decomposition (CEEMD) independent...

The diagnosis of depression is a critical topic in the medical field. For years, electroencephalogram (EEG) has been considered an objective and cost-effective detection tool. However, most studies on recognition models tend to extract information solely from original temporal scale EEG signals, ignoring usage coarse scales. This study aims explore feasibility multiscale analysis for model research its characteristics. Based two types entropy, this paper constructs machine learning using...

Accurate sleep staging is critical for assessing quality and diagnosing disorders. Recent research efforts on automated have focused complex deep learning architectures that achieved modest improvements in classification accuracy but limited real-world applicability due to the complexity of model training deployment a lack interpretability. This paper presents an effective interpretable scheme follows classical machine pipeline. Multi-domain features were extracted from preprocessed...

In view of the fact that current attention-recognition studies are mostly single-level-based, this paper proposes a multi-level method based on feature selection. Four experimental scenarios designed to induce high, medium, low, and non-externally directed attention states. A total 10 features extracted from electroencephalogram (EEG) channels, respectively, including time-domain measurements, sample entropy, frequency band energy ratios. Based all features, an 88.7% recognition accuracy is...

The dislocated development of population, land, and economy will disturb the urban system, cause ecological risk problems, ultimately affect regional habitat quality development. Based on social statistics nighttime lighting data from 2000 to 2018, we used mathematical spatial analysis methods analyze change process urbanization’s coupling coordination degree response pattern in Yangtze River Delta. Results show that: ① From urbanization Delta increased, with high values...

This paper analyzes the spatiotemporal patterns, water yield and conservation function of different land use types in Poyang Lake Region, China, during 1990–2020 by using national use, meteorological, soil, DEM data, etc., based on InVEST model. The results showed that: (1) Cultivated land, forestland area were main Region 1990–2020. Construction increasing, while grassland, unused cultivated decreasing. (2) increasing construction was mainly derived from land. Mutual transfer existed...

Treatment of organic wastewater is still a difficult problem to solve. In this paper, Cu-doped SnSe powder was synthesized by convenient and efficient hydrothermal method. Meanwhile, the degradation effect different doping concentrations on methylene blue investigated. It found that at low concentrations, not obvious because Cu dissolved in lattice matrix concentrations. As concentration increased, changed from layered structure nanocluster with reduced particle size, mixed phase Cu2SnSe4...

Object: Brain entropy is a potential index in the diagnosis of mental diseases, but there are some differences different brain calculation, which may bring confusion and difficulties to application entropy. Based on resting-state function magnetic resonance imaging (fMRI) we analyzed three main statistical significance, including approximate (ApEn), sample (SampEn) fuzzy (FuzzyEn), studied physiological reasons behind difference through comparing their performance obsessive-compulsive...

Working memory (WM), which plays a vital role in daily activities, is system that temporarily stores and processes information when people are engaged complex cognitive activities.The influence of music on WM has been widely studied.In this work, we conducted series n-back experiments with different task difficulties multiple trials 14 subjects under the condition no Alpha wave leading music.The analysis behavioral data show change significant effect accuracy time reaction (p<0.01),both...

The need for identity authentication has become essential in various aspects of people’s life. In this paper, we propose a novel biometric strategy based on music-induced autobiographical memory electroencephalogram (EEG). Specific music is used to induce the stable memory, while EEG signals are collected through process. Users can authenticate themselves by recollecting their minds when listening music, which closely related long-term memory. Based six types features from 12 subjects, mean...

In this paper, we present different code rates of LDPC decoding on Chinese Mobile Multimedia Broadcasting standard (CMMB). There are two (0.5 and 0.75) in CMMB standard.In use LLR-SPA algorithm to decode make a simulation. Simulation results show that the higher rate (0.75) provides better performance.

In this paper, design of a LDPC decoder in CMMB is presented. decoding algorithms for are analyzed and the optimal algorithm-Normalized MSA used to implement decoder, algorithm simulated determine parameters. A partial parallel architecture based on Normalized proposed, with fixed-point model best quantification scheme initial information intermediate data format.

In this paper LDPC encoding algorithms are presented, and the analyzed based on CMMB standard by simulation. The performances of compared in terms decomposition effect hardware implementation. simulation results show that LU algorithm which finds principal components row column with lightest weight can achieve high efficiency is suitable for

With the rapid development of informati on society, people's demand for personal privacy a nd property protection has become stronger and st ronger. At present, traditional biometric techno logy been difficult to meet needs social de velopment. Electroencephalography (EEG), as un ique feature individuals, received wide attention from large number researchers. In order solve problems apply in practice low recognition accuracy due induction specific situations differences i ndividual...

Hematology analyzer is widely used in clinical tests the hospital. In order to meet needs of diagnosis, various new detection function has been added hematology achieve joint multiple parameters. Based on rapid software design and extended development methods, implementation a intelligent are explored this paper, overall control node management introduced, also, CAN communication module fault mechanism given. The based functional existing three-diff standard analyzer, using distributed...