This paper introduces a novel animal behavior monitoring system, in which a acoustooptic shielded room, computer multimedia technology, image acquisition technology, signal analysis technology are involved. This system can implement long-term non-interference automatic monitoring of the experimental animal with features of accurate recording, complete and objective analysis, and convenient and effective statistics. Applied widely to the animal model for post -traumatic stress disorder (PTSD), the system is designed to be used for other biomedical studies.

AIM: To detect surface electromyogram (EMG) signal accurately.METHODS: How to reduce noise in the detection of surface EMG signal was discussed. It has been explored to design an electrode unit by using methods of differential amplification, active electrode, filter and so on , andto investigate the electrode shape and the right placing method.RESULTS: The instrumentation amplifier AD620 was adopted to design a bipolar active electrode, which has been successfully used in the surface EMG detection.CONCLUSION: Experiments show that using active electrode can improve ratio of signal and noise, reduce noise and detect surface EMG signal effectively.

Objective:To establish an HPLC method for the content determination of gliquidone tablets to improve the specificity of the content determination and the rationality of the preparation of test solution. Methods: A UPLC-MS system was used to analyze the degradation products with positive and negative ion scanning and sub-ion scanning. An ACQUITY UPLC BEH C18 column(2. 1 mm × 50 mm,1. 7 μm) was employed with the mobile phase consisting of water (adjustting pH to 3. 5 with formic acid)-acetonitrile with gradient elution. The HPLC method was performed on an Agilent Zorbax SB-C18 column(150 mm × 4. 6 mm,5 μm). Water (adjusing pH to 3. 5 with formic acid)-acetonitrile(37. 5∶62. 5) was used as the mobile phase. The detection wavelength was set at 230 nm. The column temperature was set at 30℃. The flow rate was 1. 0 ml·min-1 with the injection volume of 20μl. Results:A good linear re-lationship was obtained within the range of 60. 200-140. 400μg·ml-1(r=0. 999 5), and the average recovery was 98. 60% with RSD of 0. 6% (n=9). Conclusion:The method is accurate, reliable, specific and reproducible, which can be used in the determination of content and content uniformity of gliquidone tablets.

Terahertz waves have unique properties and advantages, which makes it gain increasing attention and applications in the biomedical field. Burns is a common clinical trauma. Since the water-sensitive and non-destructive characteristics of terahertz, terahertz imaging techniques can be used to detect burns. So far, terahertz imaging technology in the assessment of burn injuries has been developed from ex vivo to in vivo, and high-resolution images can be obtained through the gauzes and plasters. In this paper, we mainly introduces the application of terahertz imaging technology and development in the assessment of burn injuries.
Bandages ; Burns ; diagnosis ; Humans ; Terahertz Imaging

Objective:Labview and VC were used to design software based on the Active One biopotential measurement system to realize the visual evoked potential based brain-computer interface.Methods:The data acquisition software was designed by Labview,the human-interface,real time signal processing and dynamic link library software were designed by VC.Data transmission between Labview and VC was realized through the dynamic link library using shared memory technology.The multimedia timer,DirectDraw technology and parallel port data output were used to design the visual stimulation interface.The 5 points averaging filter combining with averaging method were used to detect the visual evoked potential and the correlation coefficient was computed for signal recognization.Results:The experiments showed that the visual stimulator can produce effective visual stimulation.The data transmission method using the dynamic link library can satisfy the requirement of the system.Conclusions:The real-time signal processing method can improve signal-noise ratio and realize detection and recognization of visual evoked potential.The system can determine which module the subject was fixating and the result was feedback to the subject in real time.

Objective　To design and develop a portable multi -parameter life sign monitor. Methods　Electrocardiogram (ECG). blood pressure(BP), breath frequency (BF), heart rate (HR) and body temperature (BT) in real time were recorded with a single-chip microprocessor 8Xc196Mc and a high-resolution (640×200) graphic liquid crystal display (LCD) through sign al detecting and processing techniques. Results　This system cou ld display the ECG wave, and other parameters in real time dynamically. It could also provide a 24 hours trend graph for each parameter measured and exchange th e data through the serial communication interface (RS232) with the PC. C onclusion　This portable monitoring system is capable of performing cont inuous monitoring and also has the capability to resist environmental interferen ce through the added design, so it can be used widely.

Objective:To evaluate the capacity and level of melting point determination of chemical drugs in the laboratories par-ticipating in the proficiency testing. Methods:Two test samples were prepared, and the labs volunteered to participate in the proficien-cy testing program ( PTP) . The melting point determination was performed according to the general principle 0612 in part four of Chi-nese Pharmacopoeia (2015 edition), and the results were analyzed by robust statistics and the determination proficiency of the laborato-ries were evaluated by Z-score. Results:The analysis showed that two test samples were homogeneous and stable, which met the re-quirements of the PTP. Totally 31 laboratories had satisfactory results, which accounted for 83. 8%. Conclusion:The majority of the participant laboratories can accurately determine the melting points of test samples, and the information is very helpful to the next profi-ciency testing program.

Brain-computer interface is a novel EEG-based communication and control system between human brain and computer or some other electric device, which has found important applications in many fields such as rehabilitation engineering. Study has been done in brain-computer interface using visual evoked potentials(VEP). Multiple stimulation patterns were produced on the computer screen through programming. Several flickering blocks were adopted for representing a number of possible selections, and when the subject was fixing his(her) eyes on an object on the screen, the very object could be distinguished by the analysis of the VEPs. Surface electrodes were placed at Oz of the inion and Cz to collect VEP. The wavelet filter and averaging method was used to extract VEP signal. Off-line experimental data analysis indicated that the proposed method may be valuable for developing real brain-computer interface with relatively high accuracy and speed, and the information transfer rates could be higher than 30 bit/min when 12 selections were on the screen.
Brain ; physiology ; Electroencephalography ; Evoked Potentials, Visual ; Humans ; Signal Processing, Computer-Assisted ; User-Computer Interface ; Wavelet Analysis

Neural interface technology researches, which constitute the intercross science relating to neurophysiology, computational science, microelectronic technology and so on, are of important value in rehabilitation engineering. In this paper, the concept and significance of neural interface were introduced. The applications and methods of different kinds of neural interface system were expounded. Related animal experiments were citated. The recent studies and trends in neural interface technology were also discussed.
Activities of Daily Living ; Animals ; Communication Aids for Disabled ; Deep Brain Stimulation ; Disabled Persons ; rehabilitation ; Electric Stimulation ; Electric Stimulation Therapy ; instrumentation ; Humans ; Microelectrodes ; Motor Cortex ; physiology ; User-Computer Interface

Research of surface electromyogram(EMG) signal is important in rehabilitation medicine, sport medicine and clinical diagnosis, accurate detection of signal is the base of quantitative analysis of surface EMG signal. In this article were discussed how to reduce possible noise in the detection of surface EMG. Considerations on the design of electrode unit were presented. Instrumentation amplifier AD620 was employed to design a bipolar active electrode for use in surface EMG detection. The experiments showed that active electrode could be used to improve signal/noise ratio, reduce noise and detect surface EMG signal effectively.
Electrodes ; Electromyography ; instrumentation ; methods ; Equipment Design ; Signal Processing, Computer-Assisted ; instrumentation