Cunbo Li
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View article: Sleep stages classification by fusing the time-related synchronization analysis and brain activations
Sleep stages classification by fusing the time-related synchronization analysis and brain activations Open
Sleep staging plays an important role in the diagnosis and treatment of clinical sleep disorders. The sleep staging standard defines every 30 seconds as a sleep period, which may mean that there exist similar brain activity patterns during…
View article: A hybrid graph network model for ASD diagnosis based on resting-state EEG signals
A hybrid graph network model for ASD diagnosis based on resting-state EEG signals Open
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder and early diagnosis is crucial for effective treatment. Stable and effective biomarkers are essential for understanding the underlying causes of the disorder and improv…
View article: A novel brain inception neural network model using EEG graphic structure for emotion recognition
A novel brain inception neural network model using EEG graphic structure for emotion recognition Open
Purpose EEG analysis of emotions is greatly significant for the diagnosis of psychological diseases and brain-computer interface (BCI) applications. However, the applications of EEG brain neural network for emotion classification are rarel…
View article: A Wearable Master–Slave Rehabilitation Robot Based on an Epidermal Array Electrode Sleeve and Multichannel Electromyography Network
A Wearable Master–Slave Rehabilitation Robot Based on an Epidermal Array Electrode Sleeve and Multichannel Electromyography Network Open
Investigating electromyography (EMG) signals is vital to promote the development of both rehabilitative robots and understanding of the movement neural mechanism. Interactions between various muscle units are paramount to be measured throu…
View article: Multimodal collaborative BCI system based on the improved CSP feature extraction algorithm
Multimodal collaborative BCI system based on the improved CSP feature extraction algorithm Open
Background: As a novel approach for people to directly communicate with an external device, the study of brain-computer interfaces (BCIs) has become well-rounded. However, similar to the real-world scenario, where individuals are expected …
View article: Corrections to “Identification of the General Anesthesia Induced Loss of Consciousness by Cross Fuzzy Entropy-Based Brain Network”
Corrections to “Identification of the General Anesthesia Induced Loss of Consciousness by Cross Fuzzy Entropy-Based Brain Network” Open
In the above article [1], to track the loss of consciousness (LOC) induced by general anesthesia (GA), we first developed the multi-channel cross fuzzy entropy method to construct the time- varying networks, whose temporal fluctuations wer…
View article: Electroencephalographic Network Topologies Predict Antidepressant Responses in Patients With Major Depressive Disorder
Electroencephalographic Network Topologies Predict Antidepressant Responses in Patients With Major Depressive Disorder Open
Medication therapy seems to be an effective treatment for major depressive disorder (MDD). However, although the efficacies of various medicines are equal or similar on average, they vary widely among individuals. Therefore, an understandi…
View article: Robust Autoregression with Exogenous Input Model for System Identification and Predicting
Robust Autoregression with Exogenous Input Model for System Identification and Predicting Open
Autoregression with exogenous input (ARX) is a widely used model to estimate the dynamic relationships between neurophysiological signals and other physiological parameters. Nevertheless, biological signals, such as electroencephalogram (E…
View article: Identification of the General Anesthesia Induced Loss of Consciousness by Cross Fuzzy Entropy-Based Brain Network
Identification of the General Anesthesia Induced Loss of Consciousness by Cross Fuzzy Entropy-Based Brain Network Open
Although the spatiotemporal complexity and network connectivity are clarified to be disrupted during the general anesthesia (GA) induced unconsciousness, it remains to be difficult to exactly monitor the fluctuation of consciousness clinic…
View article: Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset
Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset Open
The accurate identification of an attention deficit hyperactivity disorder (ADHD) subject has remained a challenge for both neuroscience research and clinical diagnosis. Unfortunately, the traditional methods concerning the classification …
View article: Hierarchical emotion-recognition framework based on discriminative brain neural network topology and ensemble co-decision strategy
Hierarchical emotion-recognition framework based on discriminative brain neural network topology and ensemble co-decision strategy Open
Brain neural networks characterize various information propagation patterns for different emotional states. However, the statistical features based on traditional graph theory may ignore the spacial network difference. To reveal these inhe…
View article: Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy
Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy Open
People living with schizophrenia (SCZ) experience severe brain network deterioration. The brain is constantly fizzling with non-linear causal activities measured by electroencephalogram (EEG) and despite the variety of effective connectivi…
View article: Multiple calcium patterns of rat osteoblasts under fluidic shear stress
Multiple calcium patterns of rat osteoblasts under fluidic shear stress Open
The intracellular calcium ([Ca 2+ ] i ) response induced by external forces can be diverse and complex. Using primary osteoblasts from Wistar rats, we found multiple patterns of [Ca 2+ ] i responses induced by fluidic shear stress (Fss), i…
View article: Microshell Arrays Enhanced Sensitivity in Detection of Specific Antibody for Reduced Graphene Oxide Optical Sensor
Microshell Arrays Enhanced Sensitivity in Detection of Specific Antibody for Reduced Graphene Oxide Optical Sensor Open
Protein-protein interactions play an important role in the investigation of biomolecules. In this paper, we reported on the use of a reduced graphene oxide microshell (RGOM)-based optical biosensor for the determination of goat anti-rabbit…
View article: Rhein antagonizes P2X7 receptor in rat peritoneal macrophages
Rhein antagonizes P2X7 receptor in rat peritoneal macrophages Open
P2X 7 receptor plays important roles in inflammation and immunity and thereby it serves as a potential therapeutic target for inflammatory diseases. Rhein, an anthraquinone derivative, exhibits significant anti-inflammatory and immunosuppr…
View article: Ultraviolet light A irradiation induces immunosuppression associated with the generation of reactive oxygen species in human neutrophils
Ultraviolet light A irradiation induces immunosuppression associated with the generation of reactive oxygen species in human neutrophils Open
Ultraviolet blood irradiation has been used as a physical therapy to treat many nonspecific diseases in clinics; however, the underlying mechanisms remain largely unclear. Neutrophils, the first line of host defense, play a crucial role in…
View article: WSN-based System in Computer Science for Monitoring Temperature outside Nuclear Reactor
WSN-based System in Computer Science for Monitoring Temperature outside Nuclear Reactor Open
In this paper, a wireless sensor network is proposed as an approach to long-range communication in order to monitor data outside of the nuclear reactor.ATmega16 is used in the node to exercise master control; the net topology communication…