Internet-based follow-up by instant messaging software appears to be a feasible and acceptable method of delivering peritoneal dialysis treatment for patients with end-stage renal disease.

With the normalization of cardiovascular diseases(CVD) in many countries, portable ECG monitoring devices have gradually become popular. However, since the current portable ECG monitoring equipment lacks a unified testing standard specification, a suitable calibration device is required for restraint. This research simulates a multi-state ECG signal generation system built using Arduino uno board for calibration of portable ECG monitoring devices. The system can generate human ECG signals of different intensities under different heart rates based on the operation of the host computer. The equipment has the advantages of simple, easy-to-use and low cost, and can be used as an ECG signal source for a portable ECG monitoring device in a simple laboratory environment.

Initial alignment is of vital importance to inertial navigation systems (INS). There are mailnly two popular methods in self-alignment, which are traditional gyrocompassing alignment algorithm and kalman filter algorithm. After giving the basic principle of the two, we do some simulation and test in use of INS based fiber opitic gyroscope (FOG). The simulation and real experiment show that kalman filter is better than gyrocompassing in level alignment, howerer, the accuracy of azimuth misalignment angle estimation is lower. The real data test result is as similar as simulation. This provides a useful reference for design alignment algorithm for FOG INS.

No abstract