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This proposed chip designed a continuous-time (CT) sigma-delta (EA) modulator including health transducer and wireless sensor on tracheostomy tube for intelligent networking in hospital. This proposed has setup near-infrared laser-driven (NIRLD) might be a promising wireless electrical power source for biomedical nano devices power saving. This provided sensor setup CO2 concentration detecting instruments...
The exact mechanism of translate mechanical signals of the focal adhesion kinase (FAK) into osteoblast differentiation power. PDL cells and MG63 cells were under-100 kPa for different periods. The tension force of focal adhesion kinase (FAK) phosphorylation increases rapidly and upregulation of osteogenic protein expression in periodontal ligament cells, but not in MG63 cells with FAK antisense oligonucleotides...
We incorporate the idea by Akashi et al. which utilize disulfide bonds in forming the porous hydrogel. We further develop a system using γ-PGA as scaffold and disulfide bonds cleavage as the critical point of cell sheet detach system. Cytotoxicity tests showed good biocompatibility of the matrix PVDF membranes. Finally, the cell sheet detachment was successfully performed by adding cysteine after...
A 10-month-old female infant was referred to our hospital due to prolonged jaundice over 9 months and fever of 4 days. Physical examination revealed enlargement of the liver and spleen, as well as ascites. Liver ultrasound indicated multiple firm nodules. Laboratory tests showed hyperbilirubinemia, hypoglycemia, hypoalbuminemia and coagulopathy. Increased citrulline and methionine were detected by...
Drop Foot (FD) is the inability to raising the foot due to the weakness of paralysis dorsiflexion muscle, this disability is caused by stroke. Recognize FD of the patient and provide a treatment as they needed is an important requirement for rehabilitation. One of the recognize techniques for FD event is based on using the surface electromyography (sEMG) signal. Utilizing sEMG signal can help to provide...
The gaze-independent brain-computer interface (BCI) based on rapid serial visual presentation (RSVP) is an extension of the oddball paradigm, and can facilitate communication for people with severe neuromuscular disorders. Recently, some researches showed that the gaze-independent BCIs based on RSVP used dummy face pictures as stimuli obtained high performance. However, the user' fatigue wasn't be...
Motor imagery is usually hard to be classified with a high accuracy, since the task-related electroencephalogram (EEG) responses are likely to be contaminated by some ongoing noises. Design of an efficient classifier is considerably important for the realization of a brain-computer interface (BCI) system based on motor imagery. This study introduces a Bayesian extreme learning machine (BELM) based...
Multiset canonical correlation analysis (MsetCCA) has been applied to optimize the reference signals by extracting common features in multiple sets of EEG for steady-state visual evoked potential (SSVEP) recognition. To avoid extracting the possible noise components as common features in the MsetCCA method, this study proposes an algorithm called multilayer correlation maximization (MCM) to take advantages...
Brain-computer interface (BCI) can help patients who lost control over most muscles but are still conscious to communicate or interact with the environment. In the offline experiment, all the subjects have to do is counting the target stimulus when they were using the visual-evoked event-related potential (ERP) based BCIs. The recorded electroencephalogram (EEG) data was used to train the classification...
The clock drawing test (CDT) pro-vides a user-friendly visual representation of cognitive functioning and is rapid and easily administrated. We develop the automatic clock drawing test system that combines the traditional medical knowledge with the digital pen devices. Besides the nor-mal features, our system can collect the 3D orientation information from the digital pen. We also provide detailed...
In this paper, we propose a tensor-based non-local filtering technique for image and MRI denoising using Bayesian CP factorization (BCPF). This approach simply groups together similar sub-tensors (e.g., 3D tensors) selected from a noisy tensor and forms a 4D stack, then decomposes this stack into latent factors by employing BCPF, resulting in a filtered group of 3D sub-tensors. This procedure is repeated...
Auditory steady-state response (ASSR) has been regarded as a convenient and valid electrophysiological technique in audiometry, anesthesia monitoring, neurologic evaluation, etc. Evoked by periodic auditory stimulus such as the amplitude modulation tone, ASSR behaves like a periodic electrical activity whose frequency is determined by the stimulation modulation rate. Since ASSR is small and submerged...
In 2011 [1] we proposed new causality (NC) method and demonstrated that NC method much better reveals true causality of time-invariant bivariate autoregressive model than the popular Granger causality (GC) method by several examples. In this paper, we provide more evidence that GC cannot reveal true causality, and point out the core difference between GC and NC mathematically. Given a jointly regression...
Brain computer interface (BCI) offers disabled people a nonmuscular communication pathway. Event-related potential (ERP) is an efficient way to achieve the BCI system. One of important issues for ERP classification is the under sample problem, that is the feature dimension is very high while the sample number is very strictly limited. In this paper, we introduce a P300 feature extraction and classification...
Stock news plays an important role on market considering the timely dissemination of news will likely to affect a stock's price changes. Classifying stock news is very helpful for investors to make investment decisions. In this paper, we design and implement a structured data based classification model, which could be effectively applied to the field of stock news classification problem. The model...
In the age of network globalization, a monotonically increasing amount of traffic data is produced continuously every day. Capturing HTTP traffic fast and accurately has become a valuable issue. In this paper, we analyzed Hypertext Transfer Protocol (HTTP) and found out patterns of its structure. Then we designed a data acquiring system with an advanced trie-based protocol parsing algorithm. Based...
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