
LabVIEW Based Determination of Oxygen Saturation from ECG Signals
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a1073.1191s19
Subject(s) - waveform , computer science , usb , oxygen saturation , unconsciousness , signal (programming language) , software , real time computing , medicine , oxygen , telecommunications , chemistry , anesthesia , radar , organic chemistry , programming language
This research paper demonstrates the measurement of oxygen saturation (SAO2) from the ECG signal using LabVIEW 11.0 .SAO2 is the percentage of hemoglobin molecules that contain oxygen. The optimum level of SAO2 in a human being should be 92%.When it goes below 90% it causes hypoxemia (anemia). When SAO2 reduces below 65%, it will cause damage in the functioning of mental activity .When it reduces below 55% it causes unconsciousness. Hence sustaining the optimum value of SAO2 is crucial. Hence maintaining optimum level of SAO2 is important. The latest technology which utilizes pulse oximeter has its own drawbacks. To overcome these disadvantages, a new methodology by which SAO2 can be measured from ECG signals is proposed. The ECG signal from the patient is acquired by NI USB 6211 DAQ module. By determining the pulse numbers from the ECG waveform, the SAO2 level can be determined by suitable mathematical computations. Diagnostics and implementing control action can be done with the support of LabVIEW software.