ABSTRACT
Objective To design a wireless transmission solution of multi-parameter vital signs signal which can be applied in psychological status assessment.Methods C8051F350 SOC was used to define data frame structure,on application level,including channel number,control words,data and so on,which put all nodes data into the upper computer cache area by channel in an orderly way.A transfer rate of five seconds on a grid,each grid at least 48 groups of data was chosen in buffer,which could not only match the dynamic PC image display,but also to achieve the stability of the channel signal acquisition and orderly transfer.Results After operating test,with the communication distance within 10～15 m,the dynamical display of the upper computer showed a smooth curve data,which met the system design requirement.After optimization of the data frame,the transmission power could be reduced to 1/12 of that of normal mode.The whole system with three advantages of small size,low power and easy to carry.Conclusion Multi-parameter wireless acquisition system described in this paper eliminates the data line connected to the subjects,which does not affect their normal activities and is conducive to the real response of subjects' mental state,and provides a reliable means of detection for psychological assessment.
ABSTRACT
ObjectiveA general experiment platform of electrical impedance tomography(EIT) based on field programmable gate array(FPGA) was designed to meet the requirements of EIT digital measurement.A digital current source and the research on digital demodulation method was completed.MethodsFor construction of the experiment platform,DDS module,D/A and A/D interface module,digital demodulation module and RS-232 communication module were all integrated in one FPGA chip.ResultsThe source can provide multi-frequency excitation signals of 2 mA in the range of 6.1-390.6 kHz.The output impedance of the source was higher than 190 kΩ.Both the real and the virtual information of measured impedance could be extracted.ConclusionMeasurements based on bioimpedance-equivalent circuit model verified the validity of the platform.The research results of this paper provides a foundation for the construction of a practical EIT system.
ABSTRACT
This review summarized the progress of researches on the active locomotion system for capsule endoscope, analyzed the moving and controlling principles in different locomotion systems, and compared their merits and shortcomings. Owing to the complexity of human intestines and the limits to the size and consumption of locomotion system from the capsule endoscope, there is not yet one kind of active locomotion system currently used in clinical practice. The locomotive system driven by an outer rotational magnetic field could improve the commercial endoscope capsule, while its magnetic field controlling moving is complex. Active locomotion system driven by shape memory alloys will be the orientated development and the point of research in the future.
Subject(s)
Animals , Humans , Biomimetic Materials , Capsule Endoscopes , Equipment Design , Locomotion , Magnetics , Micro-Electrical-Mechanical Systems , Motion , RoboticsABSTRACT
A video image recorder to record video picture for wireless capsule endoscopes was designed. TMS320C6211 DSP of Texas Instruments Inc. is the core processor of this system. Images are periodically acquired from Composite Video Broadcast Signal (CVBS) source and scaled by video decoder (SAA7114H). Video data is transported from high speed buffer First-in First-out (FIFO) to Digital Signal Processor (DSP) under the control of Complex Programmable Logic Device (CPLD). This paper adopts JPEG algorithm for image coding, and the compressed data in DSP was stored to Compact Flash (CF) card. TMS320C6211 DSP is mainly used for image compression and data transporting. Fast Discrete Cosine Transform (DCT) algorithm and fast coefficient quantization algorithm are used to accelerate operation speed of DSP and decrease the executing code. At the same time, proper address is assigned for each memory, which has different speed;the memory structure is also optimized. In addition, this system uses plenty of Extended Direct Memory Access (EDMA) to transport and process image data, which results in stable and high performance.