Back acupoint location method based on prior information and deep learning.

Acupuncture points have a positive effect on the auxiliary prevention and treatment of diseases, so medical devices such as acupuncture robots often need to combine acupuncture points to improve the treatment effect when working, however, intelligent acupoint selection technology is not yet mature, the automatic rapid and accurate positioning of acupoints is still challenging. Therefore, this paper proposes a method of back acupoint location and an evaluation index of acupoint location. First, we propose an improved Keypoint RCNN network for the preliminary location of back acupoints and introduce a channel and spatial attention mechanism module (CBAM) to improve the performance of the model.

[Loop-mediated isothermal amplification for detecting enterohemorrhagic Escherichia coli O157:H7: a comparison with PCR].

Objective: To establish a rapid method of loop-mediated isothermal amplification (LAMP) for detecting enterohemorrhagic Escherichia coli (EHEC) O157:H7.

Methods: Six primers that specifically recognized the rfbE gene of EHEC O157:H7 were designed. Under the optimized reaction conditions, LAMP and PCR were evaluated for the sensitivity and specificity in the detection of 39 laboratory samples of EHEC O157:H7 strains, and their detection results of contaminated fresh pork samples were compared.