Photoplethysmography (PPG) is currently a leading and growing field of researchwithin the biomedical industry. With its primary use in pulse oximetry and capability of quickly, non-intrusively, evaluating essential vital signs like heart rate and oxygen levels. This thesis will explore the literature on new and innovative research in pulse oximetry. Then introduce PPG signals including how to calculate heart rate, oxygen saturation, and current problems, mainly focused on motion artifacts. The development of hardware and software systems using Bluetooth to transmit data to MATLAB for algorithm processing. Testing different signal processing techniques and parameters evaluating their effects on algorithm accuracy and reduction of motion artifact. Using accelerometers to identify motion and apply filters to effectively reduce minor motion artifacts. Then perform real-time data analysis and algorithm processing resulting in heart rate and oxygen level calculations.