Our group at MIT builds sensors and algorithms, and we do a lot of physiological data processing. Sometimes we build our own wearable devices, or program our own mobile apps, or we remotely measure physiological signals from sensors mounted on the wall or embedded in furniture. Since the the basic human physiological signals (e.g. heart rate, respiration) are relatively low frequencies, this requires some specific signal processing. This video discusses some of the basic signal processing that we do for these low-frequency periodic signals. This video assumes that you have already implemented basic filtering and smoothing of the signal, so that it is low-noise. (these steps are covered on other videos). In addition, if you want to create an output that is slowly varying, you can also additionally implement a rolling average, to prevent sudden jumps in heart rate or breathing rate readings. Our web site: