Author:
Yue-Der Lin
Affiliation:
Feng Chia University, Taiwan
Keyword(s):
Pulse oximeter, Photoplethysmography (PPG), Arterial oxygen saturation (SpO2), Multi-channel autoregressive (AR) spectral estimation, Coherence analysis.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer Vision, Visualization and Computer Graphics
;
Cybernetics and User Interface Technologies
;
Devices
;
Education and Training
;
Human-Computer Interaction
;
Information and Systems Security
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Physiological Computing Systems
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Soft Computing
Abstract:
Pulse oximeter has become a standard in intensive and critical care units for the monitoring of oxygen support from respiratory system since 1990’s. The multi-wavelength photoplethysmography (PPG) technique is now utilized for the measurement of arterial oxygen saturation by pulse oximeter (SpO2). This research utilized multi-channel autoregressive (AR) spectral estimation method for the coherence analysis between the respiratory signal and the PPG signal derived from pulse oximeter. Five healthy male subjects participated in this research with signals being measured at different respiratory status. The results demonstrate high coherence between respiration and the PPG signal from pulse oximeter, and the coherence disappears in breath-holding experiments. The results demonstrate that the respiratory status can also be acquired from the measurement of arterial oxygen saturation. This implies the possibility to acquire the physiological parameters other than arterial oxygen saturation
form pulse oximeters.
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