Objective: To observe the segmental distribution of afferent Electroacupuncture (EA) signals from acupoints of the Pericardium (PC) Meridian and try to analyze the relative specificity of running route of PC Meridian....Objective: To observe the segmental distribution of afferent Electroacupuncture (EA) signals from acupoints of the Pericardium (PC) Meridian and try to analyze the relative specificity of running route of PC Meridian.Methods: A total of 85 Wistar rats anesthetized with mixed solution of Chloralose (5 mg/100 g) and Urethane (42 mg/100g) were used in this study. Under microscopic observation, the micro-filaments of the distal end of the dorsal root were carefully separated after tearing the spinal pia mater to attach to a recording electrode. The reference electrode was placed beneath the skin of the incision. Two caudal and two rostral dorsal roots near the recorded one were cut off separately. Electrical activity of the isolated micro-filaments was observed before and after EA of "Daling" (PC 7) -"Jianshi" (PC 5), "Quze" (PC 3) of PC Meridian, "Yangchi"(TE 4)- "Zhigou" (TE 6), "Tianjing" (TE 10)-" Qin-glengyuan" (TE 11) of the Triple Energizer (TE) Meridian with electric current 1 mA and 2 mA and double pulses. Results: ① After EA (1 mA) of "Daling"(PC 7)-"Jianshi"(PC 5), the firing rates of 3 out of 10 (33.3%) micro-filaments in C5 segment, 5 out of 10 (50.0%) in C6, 7 out of 10 (70.0%) in 07, 3 out of 10 (30.0%) in C8 and 3 out of 13 (23. 1%) in T1 increased considerably；and after EA of "Quze" (PC 3), those of 3/10 of C5, 4/10 of C6, 6/10 of C7, 3/10 of C8, and 3/10 of T1 increased significantly. ② After EA (1 mA) of "Yangchi"(TE 4)- "Zhigou" (TE 6) and "Tianjing" (TE 10)- "Qinglengyuan" (TE 11). the firing rates of 2/10, 2/10 of micro-filaments In C5, 7/10, 3/10 of C6, 5/10 and 4/10 of C7, 1/10 and 1/10 of C8, and 2/13 and 1/10 of T1 increased significantly. It indicates that C7 dorsal root may play the first important role in conveying EA signals from PC Meridian acupoints to the spinal cord, while C6 and C7 may be mainly responsible for conveying EA signals from TE Meridian acupoints to the spinal cord. Conclusion: The peripheral afferent pathway for transmitting EA signals from PC Meridian acupoints probably has a relative specificity.展开更多
This is an extended version of the same titled paper presented at the 21st CIRED. It discusses a new technique for identification and location of defective insulator strings in power lines based on the analysis of hig...This is an extended version of the same titled paper presented at the 21st CIRED. It discusses a new technique for identification and location of defective insulator strings in power lines based on the analysis of high frequency signals generated by corona effect. Damaged insulator strings may lead to loss of insulation and hence to the corona effect, in other words, to partial discharges. These partial discharges can be detected by a system composed of a capacitive coupling device （region between the phase and the metal body of a current transformer）, a data acquisition board and a computer. Analyzing the waveform of these partial discharges through a neural network based software, it is possible to identify and locate the defective insulator string. This paper discusses how this software analysis works and why its technique is suitable for this application. Hence the results of key tests performed along the development are discussed, pointing out the main factors that affect their performance.展开更多
文摘Objective: To observe the segmental distribution of afferent Electroacupuncture (EA) signals from acupoints of the Pericardium (PC) Meridian and try to analyze the relative specificity of running route of PC Meridian.Methods: A total of 85 Wistar rats anesthetized with mixed solution of Chloralose (5 mg/100 g) and Urethane (42 mg/100g) were used in this study. Under microscopic observation, the micro-filaments of the distal end of the dorsal root were carefully separated after tearing the spinal pia mater to attach to a recording electrode. The reference electrode was placed beneath the skin of the incision. Two caudal and two rostral dorsal roots near the recorded one were cut off separately. Electrical activity of the isolated micro-filaments was observed before and after EA of "Daling" (PC 7) -"Jianshi" (PC 5), "Quze" (PC 3) of PC Meridian, "Yangchi"(TE 4)- "Zhigou" (TE 6), "Tianjing" (TE 10)-" Qin-glengyuan" (TE 11) of the Triple Energizer (TE) Meridian with electric current 1 mA and 2 mA and double pulses. Results: ① After EA (1 mA) of "Daling"(PC 7)-"Jianshi"(PC 5), the firing rates of 3 out of 10 (33.3%) micro-filaments in C5 segment, 5 out of 10 (50.0%) in C6, 7 out of 10 (70.0%) in 07, 3 out of 10 (30.0%) in C8 and 3 out of 13 (23. 1%) in T1 increased considerably；and after EA of "Quze" (PC 3), those of 3/10 of C5, 4/10 of C6, 6/10 of C7, 3/10 of C8, and 3/10 of T1 increased significantly. ② After EA (1 mA) of "Yangchi"(TE 4)- "Zhigou" (TE 6) and "Tianjing" (TE 10)- "Qinglengyuan" (TE 11). the firing rates of 2/10, 2/10 of micro-filaments In C5, 7/10, 3/10 of C6, 5/10 and 4/10 of C7, 1/10 and 1/10 of C8, and 2/13 and 1/10 of T1 increased significantly. It indicates that C7 dorsal root may play the first important role in conveying EA signals from PC Meridian acupoints to the spinal cord, while C6 and C7 may be mainly responsible for conveying EA signals from TE Meridian acupoints to the spinal cord. Conclusion: The peripheral afferent pathway for transmitting EA signals from PC Meridian acupoints probably has a relative specificity.
文摘This is an extended version of the same titled paper presented at the 21st CIRED. It discusses a new technique for identification and location of defective insulator strings in power lines based on the analysis of high frequency signals generated by corona effect. Damaged insulator strings may lead to loss of insulation and hence to the corona effect, in other words, to partial discharges. These partial discharges can be detected by a system composed of a capacitive coupling device （region between the phase and the metal body of a current transformer）, a data acquisition board and a computer. Analyzing the waveform of these partial discharges through a neural network based software, it is possible to identify and locate the defective insulator string. This paper discusses how this software analysis works and why its technique is suitable for this application. Hence the results of key tests performed along the development are discussed, pointing out the main factors that affect their performance.
