氧氟沙星缓释药栓的研制及体外药物释放实验研究

研究可植入眼内的氧氟沙星缓药栓的体外药物缓释过程和效果。方法：将分子量各为６１２０和１２５５０的聚乳酸分别混载５％和１０％氧氟沙星制成药栓，并体外药物释放以及高效液相色谱法药物浓度测定。结果３０ｄ内氧氟沙星体外释放率为７０％－９０％，释药时间与滞物分子量呈正相关，结论：由氧氟沙星和聚乳酸制成的缓释药栓满足眼内炎治疗的基本要求。     

奶牛阴道植入式电阻传感器与无线监测系统研究

针对人工监测奶牛发情费时、费力,仅依靠活动量和非接触式视频监测无法实现奶牛安静发情预警的问题,根据奶牛发情时阴道粘液生理特征变化,提出基于奶牛阴道电阻变化的奶牛发情监测方案。设计了由黄铜电阻探头、8爪防滑装置构成的奶牛阴道植入式电阻传感器,对阴道电阻值进行采集。借助2.4GHz的ZigBee网络开发了无线传输系统,将阴道电阻无线传送给协调器节点,协调器经由RS485总线传输到监控中心。开发了奶牛阴道电阻上位机实时监测系统,实现了奶牛阴道电阻的精确采集和远程实时监测。分别对植入式电阻传感器和监测系统进行了准确性、稳定性、可靠性及能量可用性试验,结果表明,植入式电阻传感器电阻测量探头体积小、安装方便,可测定1~1000Ω范围的电阻,测量精度在±2%以内,24h内电阻最大波动为2Ω;在450m2奶牛养殖区范围内,ZigBee网络数据发送成功率不低于98.5%;植入式电阻传感器终端节点在7.4V/6500mA·h锂电池能量供应下可连续工作38d。监测系统运行稳定,能够精确、可靠、实时地监测奶牛阴道电阻的变化,为奶牛发情程度和排卵时间的准确预测提供了一种新的监测方法。     

Energy delivery model for implanted devices

FEMlab3.3(Finite Element Model Lab) is used to develop an energy delivery model for implanted devices. We designed three different shape electrodes made of Ag to enhance current transmitting efficiency. Several voltages were used for pursuing perfect goal. With the body safety current, we can get the results with a current transmitting efficiency of 20% and the energy delivery efficiency of 4%~9%. It is clear that the high energy delivery efficiency can be obtained and the results provide references for further study of energy delivery through body conduction.     

Power supply and electromagnetic simulation of implantable medical devices

It is studied how to charge the battery of the implanted medical device through the skin according to its bio electrical characteristics.Energy delivery model of volume conduction is created by FEMlab 3.3 (Finite Element Model Lab),using AC voltage as the input.In simulation,the frequency characteristic of the model is tested,and then 4 different shapes of electrodes are designed.Taking cylindrical electrode for example,the shape and layout of electrode are optimized by changing the electrodes’ cross section areas and the distance between the electrodes.According to the simulation results,current transmitting efficiency can reach above 30% under the premise of ensuring human security.     

Analysis and simulation of volume conduction channel for implantable devices

According to closed loop communication system design of implantable devices and the communication problems, a data communication model based on volume conduction is proposed; volume conduction channel’s basic characteristic is analyzed, namely, when working frequency of volume conduction channel runs in kHz grade, biological background signal interference is insignificant. volume conduction channel can be approximated as additive white gaussian noise channel (AWGN); derived under two dimensional modulation channel capacity formula. Thus, two level modulation of channel capacity could be effective at very low signal to noise ratio (SNR), while multi level modulation should be used at high SNR. Finally, using SystemView of channel simulation, the results show that the two level modulation is better than multi level modulation and verify the effectiveness of the proposed method.     

Multi-field coupled numerical simulation of volume conduction energy transfer

The research on volume conductive model can be used in designing the conductive systems and optimizing the energy transfer parameters. By considering the coupling of circuit, electromagnetic-field and temperature-field, a 3-D multi-filed coupling model is developed. On the circuit level, the simulation of volume conduction, real-time monitoring for the temperature of skin tissue are achieved, which provides direct theoretical guidance for energy transfer optimization design. With the software FEM 3.5, a volume conduct multi-field coupling model is built to verify the feasibility of volume conduction, which also lays foundation for further optimize energy transfer efficiency.     

鲟鱼无水低温保活的血糖传感信号监测方法

根据水产品无水低温保活运输监测需求,设计了可植入式血糖传感器及信号处理电路,以实时获取血糖传感信号,信号经过软件滤波进行去噪和平滑处理后,构建了血糖变化的时序预测模型;以鲟鱼作为实验对象,对所提出的方法进行了实验验证。结果表明:所设计的可植入式血糖传感器能在鲟鱼体内对血糖信号进行稳定的采集,传感器信号经过信号调理电路后输出拟合程度达到0.960 8,电路灵敏度为27.047 m V/n A,零点漂移量为722.83 m V;所构建的血糖信号自回归移动平均模型(ARIMR)预测值与真实值之间的平均绝对误差为-0.014 mmol/L,平均相对误差为-0.117%,预测精度和平滑度较其他模型具有优势。该信号监测方法对于提高水产品无水低温保活全程透明度和追溯性,并推断水产品生命体及营养物质变化具有重要参考价值。