The template matching approach has a promising momentum to build energy-efficient edge classifiers for various implantable and wearable medical devices. To mitigate the analog/digital cross-domain interfacing complexity, analog content-addressable memories can be used efficiently to form the back-end classifiers by receiving the analog inputs and generating the digital classification outputs. This paper presents a novel memristor-based analog content-addressable memory pixel 1T1R+2T with 2.0x smaller footprint than its counterparts in the literature. The new compact pixel utilizes only one RRAM device through a 1T1R voltage divider circuit while exploiting the complementary behavior of the nMOS and pMOS transistors to determine the lower and upper bounds of the matching voltage range. The simulation results show that the 1T1R+2T pixel has a promising tunability with matching windows range from 50 mV to 200 mV according to the RRAM resistance value of the 1T1R voltage divider.