RESUMO
The precise recognition of feature points of impedance cardiogram (ICG) is the precondition of calculating hemodynamic parameters based on thoracic bioimpedance. To improve the accuracy of detecting feature points of ICG signals, a new method was proposed to de-noise ICG signal based on the adaptive ensemble empirical mode decomposition and wavelet threshold firstly, and then on the basis of adaptive ensemble empirical mode decomposition, we combined difference and adaptive segmentation to detect the feature points, A, B, C and X, in ICG signal. We selected randomly 30 ICG signals in different forms from diverse cardiac patients to examine the accuracy of the proposed approach and the accuracy rate of the proposed algorithm is 99.72%. The improved accuracy rate of feature detection can help to get more accurate cardiac hemodynamic parameters on the basis of thoracic bioimpedance.
RESUMO
The similarities and differences between trigger points of myalgia and acupoints were explored. Nodules could be detected by B-ultrasound at trigger points of myalgia, but not acupoints. In clinical symptoms, the referred pain pathway of trigger points of myalgia is similar with the pathway of acupuncture meridian. Therefore, the location of trigger points of myalgia should take referred pain as pathway, which is similar with locating acupoints as meridian. Acupuncture at trigger points of myalgia takes jumping feeling as criterion, while acupuncture at acupoints are mainly based on acid swelling and numbness. From clinical observation to basic experimental research, a lot of pathophysiological evidence is provided for trigger point of myalgia. It is believed that the trigger point of myalgia might be the precise acupoint in modern scientific research, and the meridian is the synthesis of the mechanics of nerve, blood vessel and fascia. Although acupuncture and dry needling are different in theory, but the scientific foundation of TCM and western medicine is coherent.