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A method based on image processing and analyzing technology for estimating the activity of mesenchymal stem cells.

Lizhe XIE ; Jiang WU ; Deyu LI ; Jiangli LIN ; Tianfu WANG ; Changqiong ZHENG

Journal of Biomedical Engineering.2006;23(2):279-281.

Cell culture is one of the usual methods for studying living cell and tissue, the method presented in this paper is based on image processing and analyzing technology for activity estimation of mesenchymal stem cells (MSCs). The existing activity estimation methods are costly, complex and invasive. In this method, thresholding is used to preprocess image and to separate out the growth hallow. Then the area is calculated by counting the pixels of the growth hallow. The changes of the activity estimated by this method are similar to those by corresponding cellular experiments. Compared with the existing methods in biology, medicine or medical cellular science, this method is easier, faster, cost-effective and non-invasive. The proposed method has been proved to be efficient by primary experiments of MSCs.
Animals ; Cells, Cultured ; Femur ; cytology ; Image Processing, Computer-Assisted ; methods ; Mesenchymal Stromal Cells ; cytology ; Rats ; Rats, Sprague-Dawley

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A method of iris image quality evaluation.

Hamit MURAT ; Dawei MAO ; Qinye TONG

Journal of Biomedical Engineering.2006;23(2):275-278.

Iris image quality evaluation plays a very important part in iris computer recognition. An iris image quality evaluation method was introduced into this study to distinguish good image from bad image caused by pupil distortion, blurred boundary, two circles appearing not concentric, and severe occlusion by eyelids and eyelashes. The tests based on this method gave good results.
Humans ; Image Enhancement ; methods ; Image Interpretation, Computer-Assisted ; Iris ; anatomy & histology ; Pattern Recognition, Automated ; methods ; Photogrammetry ; methods ; standards

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Evaluation of back muscle function based on EMG time-frequency spectrogram analysis.

Yuzhen CAO ; Cheng CHEN ; Yong HU ; Shijiu JIN

Journal of Biomedical Engineering.2006;23(2):271-274.

EMG has been extensively used to study function of back muscle, which plays an important role in the objective assessment of occupational low back pain, yet the inherent large variability of EMG signals across subjects produced by reasons already known or unknown may mask true biological differences. Some useful parameters abstracted from 8-channel EMG signal in time-frequency domain are used or proposed and calculated in this paper to decrease this variability, when comparing the possible difference between low back pain patients and normal control group. The calculation of instantaneous median frequency is improved to decrease the interruption of background noise, and different power densities in EMG time-frequency spectrogram are observed in two tested groups.
Back ; Electromyography ; Fourier Analysis ; Humans ; Low Back Pain ; physiopathology ; Muscle, Skeletal ; physiopathology ; Spectrum Analysis

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The research and development of new diagnostic gene chips for SARS coronavirus.

Jianhua LAI ; Zhiqin ZHANG ; Ming YU ; Xingwei WU ; Yongfu REN ; Deyong TAN

Journal of Biomedical Engineering.2006;23(2):266-270.

The loci of cDNA sequences for valid diagnosis have been identified through the selection of the genome of SARS coronaries. The gene chips for diagnosing such virus have been developed, based on our own-developed technology for manufacturing and application of gene chips. The diagnoses given by such gene chips were consistent well with the reports of clinical laboratories (94.29%) and the sensitivity reached 10(-2)/ml virus molecules. This method is well suited for the clinical use in SARS coronaries diagnosis.
Humans ; Oligonucleotide Array Sequence Analysis ; SARS Virus ; isolation & purification ; Sensitivity and Specificity ; Severe Acute Respiratory Syndrome ; virology

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Research on EEG classification with evolving cascade neural networks.

Dongmei HAO ; Xiaogang RUAN

Journal of Biomedical Engineering.2006;23(2):262-265.

To correctly classify EEG with different mental tasks, a new learning algorithm for Evolving Cascade Neural Networks (ECNNs) is described to avoid over-fitting of a neural network due to noise and redundant features. The learning algorithm calculates the value of a fitness function on validate set and accordingly updates the connection weights on training set. The learning algorithm uses the regularity criterion for selecting the neurons with relevant connection. If the value Cr calculated for the rth neuron is less than the value Cr-1 calculated for the previous (r-1) neuron, the features that feed the rth neuron are relevant, else they are irrelevant. An ECNN starts to learn with one input node and then, adding new inputs as well as new hidden neurons, evolves it. The trained ECNN has a nearly minimal number of input and hidden neurons as well as connections. The algorithm is applied to classify EEG with two mental tasks. The trained ECNN has correctly classified 83.1% of the testing segments. It shows a better result, compared with a standard BP network.
Algorithms ; Electroencephalography ; methods ; statistics & numerical data ; Humans ; Neural Networks (Computer) ; Signal Processing, Computer-Assisted

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R-wave detection of ECG signal by using wavelet transform.

Xuelong TIAN ; Chunhong YAN ; Yaqing YU ; Tianxing WANG

Journal of Biomedical Engineering.2006;23(2):257-261.

The detection of R-wave of ECG is essential to the analysis of the heart rate variability (HRV). In this paper, an R-wave detection method using wavelet transform(WT) is presented in line with the principle of discrete wavelet transform(DWT) and multi-resolution technique (MRT). We made use of the special properties of dbl wavelet in time-domain, decomposed the original ECG signals into 3-level detailed signals on different frequency bands by using DWT with Mallat algorithm, and got appropriate threshold values in different high frequency bands to distinguish R-wave. It is concluded that the algorithm had significant effects on it, which is verified by MIT/BIH (Massachusetts Institute of Technology/Boston's Beth Israel Hospital) ECG Database. The results show that R-wave could be detected accurately and localized precisely by this method, even when the patient was seriously sick or the signal was disturbed by noise. Consequently the method has a quite high locating precision (its error is not more than two sampled points and about 85 percent of the points of R-wave in ECG signal are localized precisely) and the correct detection rate of R-wave is 99.8% by using wavelet transform, so this method is quite feasible.
Algorithms ; Electrocardiography ; Heart Rate ; physiology ; Humans ; Signal Processing, Computer-Assisted

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Single-trial estimation of visual evoked potentials in single channel single-trial estimation.

Jinan GUAN ; Yaguang CHEN ; Min HUANG

Journal of Biomedical Engineering.2006;23(2):252-256.

We constructed a Brain-computer interface-based mental speller which realizes user-computer interaction. The feature signals of user's intention are embedded in spontaneous EEG background. Single-trial feature estimation should be used on this online occasion instead of the grand average usually used in cognitive or clinical experiments. To demonstrate this technique beyond laboratories, fewer EEG recording channels are preferred. A unique paradigm, which is called imitating-natural-reading, was exploited to induce visual evoked potentials. We explored the single-trial estimation of VEP recorded in single channel using support vector machine on three subjects, and obtained satisfactory data, the classification accuracy being 92.1%, 94.1% and 91.5%, respectively. These results put forward a significant step fowards the ultimate realization of our mental speller.
Adult ; Algorithms ; Brain ; physiology ; Electroencephalography ; Evoked Potentials, Visual ; physiology ; Humans ; Male ; Signal Processing, Computer-Assisted

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The study and implementation of DICOM conformance in the network printing of PACS.

Zhiqian YE ; Weimin ZHANG ; Yingjie XIE

Journal of Biomedical Engineering.2006;23(2):248-251.

To implement the network printing in PACS (Picture Archiving and Communication System), each level of DICOM (Digital Imaging and Communication in Medicine) print management service is defined by means of object oriented method, and the corresponding events and properties are implemented with C++ language. It is tested on laser printers of AGFA, KODAK and FUJI to determine whether the network environment supports the print management service and implements the presentation LUT (Look Up Table) correctly. The quality control of printing at the level of data flow is also assessed. The program finally succeeds in realizing the network printing based on DICOM in hospital environment.
Computer Communication Networks ; instrumentation ; Image Processing, Computer-Assisted ; standards ; Medical Records Systems, Computerized ; organization & administration ; standards ; Printing ; methods ; Radiology Information Systems ; standards

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Stochastic nonlinear evolutional model of the large-scaled neuronal population and dynamic neural coding subject to stimulation.

Rubin WANG ; Wei YU

Journal of Biomedical Engineering.2006;23(2):243-247.

In this paper, we investigate how the population of neuronal oscillators deals with information, and analyze the dynamic evolution of neural coding when the outer stimulation acts on it on the base of our former work. By numerically computing for the model, we obtain the figure of average number density, which is used to describe the action potential of the neurons within population in three-dimensional space, namely the dynamic evolution of neural coding. The result of numerical analysis indicates that the model in this paper can be used to describe the evolutional process of abundant mutual interactional neurons acted by outer stimulation. The numerical result also proves that only the suitable stimulation can change the coupling structure of neurons. And the evolution model given in this paper incarnates the neural plasticity.
Action Potentials ; physiology ; Animals ; Brain ; physiology ; Linear Models ; Models, Neurological ; Neural Pathways ; physiology ; Neuronal Plasticity ; physiology ; Neurons ; physiology ; Stochastic Processes ; Synaptic Transmission ; physiology

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A data interface based on USB bus technology for full auto patch-clamp system.

Youlin LIU ; Yang HU ; Anlian QU

Journal of Biomedical Engineering.2006;23(2):239-242.

A USB bus based data interface technology for full auto Patch-Clamp system is discussed in the article. The main controller is CY2131QC (Cypress) and the logic controller is EPM3256A (Altera). Optocouplers are used to get rid of the noise from the interface. It makes the installation of the Patch-Clamp system easier by using the USB bus, and is suitable for the new generation of the Patch-Clamp system with a high speed of 1M bytes/s.
Computer-Aided Design ; Equipment Design ; Patch-Clamp Techniques ; instrumentation ; methods

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