A novel blood pressure measurement system was designed which based on auscultatory method. And the electret sensor that embedded into the internal instrument can detect the Korotkoff-sound signal directly which is coupled by the cuff and transmitted in the cross connection. The BP values identification algorithm is based on combined detection of Korotkoff-sound and pulse signal, and the products of amplitudes and energies are calculated as the characteristic values of Korotkoff-sound, and the Korotkoff-sound phases are classified and detected by means of clustering of characteristic values, and then BP parameters are determined. The contrast test and statistical analysis showed good consistency and accuracy between the new BP detection method and conventional mercury sphygmomanometer.
Blood Pressure ; Blood Pressure Determination ; instrumentation ; methods ; Equipment Design

The incidence of tinnitus is very high, which can affect the patient's attention, emotion and sleep, and even cause serious psychological distress and suicidal tendency. Currently, there is no uniform and objective method for tinnitus detection and therapy, and the mechanism of tinnitus is still unclear. In this study, we first collected the resting state electroencephalogram (EEG) data of tinnitus patients and healthy subjects. Then the power spectrum topology diagrams were compared of in the band of δ (0.5-3 Hz), θ (4-7 Hz), α (8-13 Hz), β (14-30 Hz) and γ (31-50 Hz) to explore the central mechanism of tinnitus. A total of 16 tinnitus patients and 16 healthy subjects were recruited to participate in the experiment. The results of resting state EEG experiments found that the spectrum power value of tinnitus patients was higher than that of healthy subjects in all concerned frequency bands. The
Attention ; Brain ; Electroencephalography ; Humans ; Parietal Lobe ; Tinnitus

Researches on detection of human papillomavirus (HPV) high-risk samples were carried out by poly-merase chain reaction (PCR) coupled with microchip electrophoresis (MCE). Herein, we introduced a simple, rapid, automated method for detecting high-risk samples HPV16 and HPV18. In this research, general primers were initially selected to obtain sufficient detectable yield by PCR to verify feasibility of MCM method for HPV detection, then type-specific primers were further used to evaluate the specificity of MCE method. The results indicated MCE method was capable of specifically detecting high-risk HPV16 and HPV18, and also enabled simultaneous detection of multiplex samples. This MCE method described here has been successfully applied to HPV detection and displayed excellent reliability demonstrating by sequencing results. The inherent capability of MCE facilitated HPV detection conducted in a small chip with automated, high throughput, massive parallelized analysis. We envision that MCE method will definitely pave a way for clinical diagnosis, and even on-site screening of cervical cancer.