​Electromyographically Controlled Servo Motor: This project consists of using surface electrodes along with the concept of Electromyography (EMG) to detect electricity generated by muscles when flexing, then creating a circuit that would filter out electrical noise while accepting a range of frequencies that action potentials are propagated at, and lastly using LabVIEW along with Arduino to process the EMG signal and control a small servo's angle based on the intensity of the subject's forearm flexion.

​Heart Rate Detection using Photoplethysmography: This project consists of using a TCRT1000 sensor, composed of an infrared diode light source and a phototransistor light detection circuit, to measure the infrared light reflected when placed on a subject's finger. The idea behind this project has to do with oxygenated hemoglobin's high absorption of infrared light and pulsatile arterial blood flow, which is based on the concept of Photoplethysmography (PPG). Taking the raw data of the TCRT1000 sensor, we use a filter circuit to allow only a specific range of frequencies that correspond to a subject's pulsatile arterial blood flow to pass, and then using an Arduino to measure the frequency of the filtered waveforms, we are able to determine the subject’s heart rate.