LabVIEW Based Determination of Oxygen Saturation from ECG Signals
G. Nalinashini1, N. Padmavathi2, M. Aravindan3

1G. Nalinashini, Department of EIE, RMD Engineering College, Chennai (Tamil Nadu), India.

2N. Padmavathi, Department of EIE, RMD Engineering College, Chennai (Tamil Nadu), India.

3M. Aravindan, Department of EIE, RMD Engineering College, Chennai (Tamil Nadu), India.

Manuscript received on 26 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 369-372 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10731191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1073.1191S19

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: 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.

Keywords: SAO2, ECG Signal, LabVIEW 11.0, NI USB 6211.
Scope of the Article: Soft computing Signal and Speech Processing