Automatic interference pattern analysis (IPA) methods are powerful tools to provide information about muscle performance, for both diagnostic and non-diagnostic purposes. Generally used IPA methods includes zero-crossing, spike- counting, amplitude measurement, integration of the IP, decomposition, power spectrum analysis and turn/amplitude analysis(TAA). Of these method, the most well-established and evaluated methods among these are TAA modifications, which relies on the determination of the number of turning points of the IP that are separated from the preceding and following turning points by an amplitude difference greater than a given threshold value, usually 100 muV (turns). Evaluated variables include the turns/second (T/S), amplitude/turn (AT), T/S: AT, duration between turns, upper centile amplitude (UCA), and so on. Our study follows the idea to design a comparatively easier, applicable method based on the TAA technique which perform evaluation of muscles by counting the real-time peaks surpass pre-set thresholds.