Artifacts detection in photoplethysmographic signals

• Main Author: Athota Srinivas
• Other Authors: Saman S. Abeysekera
• Format: Theses and Dissertations
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/73101
• Institution: Nanyang Technological University

Photoplethysmographic (PPG) signals are widely used in medical fields due to its non-invasive method, and flexibility to capture the data from various places unlike Electrocardiogram (ECG). Normally, PPG signals are taken from the fingertip, PPG signals are mainly used to measure some important parameters of patients such as Heart rate (HR) and Saturated Oxygen (SpO2) level in blood, Heart rate variability (HRV). All these parameters are accurate only when the data is taken from without movement of the finger from the patient but the patients moves their fingers sometimes while capturing the data. Due to this Motion Artifacts (MA) are induced in the PPG signal so, when calculating the parameters these motion Artifacts gives wrong details and, it’s necessary to identify these motion artifacts. The objective of this dissertation is to identify motion artifacts in PPG signal. In this dissertation, PPG signals that contains motion artifacts are taken from the University of Queensland vital sign data set which provides clinical data from different types of patients. PPG signal that contain motion artifacts are processed in MATLAB with the help of an algorithm discussed in this dissertation and the identified motion artifact positions are checked manually to ensure the correctness of the results.