ObjectiveTo explain the advantage of laparoscopic endoscopic rendezvous procedures used to treat rectal carcinoma, and predict the future direction of the surgery methods for rectal carcinoma. MethodsA review and summary based on the clinical experience of our hospital and the published researches about the laparoscopic endoscopic rendezvous procedures over the past years in home and abroad were performed. ResultsLaparoscopy can monitor the situation of the abdominal cavity.Endoscopy can detect the location of rectal carcinoma.Laparoscopic endoscopic rendezvous procedures used to treat rectal carcinoma can combine the advantage of each other.And the purpose of "less invasion, less pain, and faster recovery" will be achieved.The effect of "1+1 > 2" will be realized. ConclusionLaparoscopy and transanal endoscopic microsurgery hybrid could be a naive form of nature orifice transluminal endoscopic surgery to treat rectal carcinoma.
A new method based on convolution kernel compensation (CKC) for decomposing multi-channel surface electromyogram (sEMG)signals is proposed in this paper. Unsupervised learning and clustering function of self-organizing map (SOM) neural network are employed in this method. An initial innervations pulse train (IPT) is firstly estimated, some time instants corresponding to the highest peaks from the initial IPT are clustered by SOM neural network. Then the final IPT can be obtained from the observations corresponding to these time instants. In this paper, the proposed method was tested on the simulated signal, the influence of signal to noise ratio (SNR), the number of groups clustered by SOM and the number of highest peaks selected from the initial pulse train on the number of reconstructed sources and the pulse accuracy were studied, and the results show that the proposed approach is effective in decomposing multi-channel sEMG signals.