Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution of measured field owing to its characteristics of being non-homogeneous, of injecting current at the boundary of the measured subject,of measuring the.corresponding changes in voltage, and of reconstructing the image of the subject consequently. However, the limited measurement data of EIT, and the serious nonlinearity of the field result in ill-posed problem, and the resolution of reconstructed image is poor. To solve the problem, a new hybrid algorithm is herein proposed. The method combines the characteristics of Krylov subspace and Tikhonov regularization, which can improve the real time performance, the quality and robustness of reconstructed image.
Algorithms ; Electric Impedance ; Humans ; Image Processing, Computer-Assisted ; methods ; Tomography ; methods

This paper proposed a rehabilitation training system with electromyography (sEMG) feedback for stroke patients based on ARM embedded system and LabVIEW. The system can achieve real-time acquisition, processing and dualview of multi-channel sEMGs and compute related sEMG parameters including iEMG, RMS, MPF and co-contraction ratio. The system was detected by clinical experiments and related inspection department. The result showed that the system is functional, interactive and in accordance with the relevant standards for medical devices so that it can fully satisfy the clinical demands. In addition, the system can help doctors to master the training state of the patient more effectively in a real-time and quantitative way that is direct to improve the training programs of stroke patients.
Electromyography ; Humans ; Neurofeedback ; Stroke Rehabilitation