Artefact detection for improved processing of pulse oximeter signals
Photoplethysmography (PPG) signal which is produced from the Pulse Oximeter can be used for many clinical medication like Heart rate (HR), Blood pressure, Oxygen saturation (Sp02) and Heart rate Variability (HRV). Hence, Pulse Oximetry has become an essential medical device which is commonly used i...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/74962 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Photoplethysmography (PPG) signal which is produced from the Pulse Oximeter can be used for many clinical medication like Heart rate (HR), Blood pressure, Oxygen saturation (Sp02) and Heart rate Variability (HRV). Hence, Pulse Oximetry has
become an essential medical device which is commonly used in hospitals and clinics to monitor patient with asthma, Chronic Obstructive Pulmonary disease (COPD), and other respiratory issues [1]. However, Pulse Oximeter is prone to varieties of artefacts interferences which will produce inaccurate result. Therefore, this report will discuss the on the methodology to remove the motion artefacts and other interferences that will corrupt the PPG signal. The clean PPG signal will then use for evaluating physiologically important parameters. In the project development, existed Pulse Oximeter circuit is provided for Photoplethysmography (PPG) signal collection. LabVIEW is used to visualise the real
time analysis of the PPG signal and NI DAQ card will subsequently convert the signal in to excel format and transfer to MATLAB for further processing and analysis. |
|---|