An accurate detection of the effective values of electric voltage and current from high frequency power generators is a precondition for the development of smart electrotomes. In this light, an energy detection system based on personal computer (PC) is developed hereby. It senses voltage and current in isolation from generators with transformers, and then the measured values are amplified, filtered, transformed into single-ended signals and converted to RMS. The detected signals are transformed into digital signals through Data Acquisition Card (DAQ) and the data are processed with quadratic fit in Labview. Finally, the controller completes constant power output. The experiment results indicate that the energy detection system can measure the output parameters precisely and the controller can achieve constant power control.
 Friedrichs, D.A., Erickson, W. and Gilbert, J. (2012) Anew dual current-mode controller improves power regulation in electrosurgical generators. IEEE Transactions on Biomedical Circuits and Systems, 6, 39-44. doi:10.1109/TBCAS.2011.2159859
 Dodde, R.E., Gee, J.S. and Geiger, J.D. (2012) Monopolar electrosurgical thermal management for minimizing tissue damage. IEEE Transactions on Biomedical Engineering, 59, 167-173. doi:10.1109/TBME.2011.2168956
 ANALOG. High Precision, Wideband RMS-to-DC Converter. http://www.analog.com/
 National Instruments. Low-Cost M Series Multifunction Data Acquisition. http://sine.ni.com