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- W3176482771 abstract "Monitoring patient's blood oxygen saturation (SpO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> ) levels using pulse oximeter is important to physician. SpO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> is also one of the major parameter that is being monitored to assess the respiratory health in Covid-19 infected patients during the ongoing pandemic. In pulse oximeters, the motion artifacts (MA), due to voluntary or involuntary movement of patient, will disturb the morphology of the photoplethysmographic (PPG) signals acquired through a finger/forehead sensor resulting in inaccurate SpO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> values. The current work is focused on an efficient adaptive filtering method for MA reduction, which uses a wavelet reconstructed secondary MA noise as reference signal. It eliminates the use of an external sensor to be employed for estimating MA signal. This method while reducing the MA restored the PPG morphology and respiratory components facilitating accurate estimation SpO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> , heart rate (HR)." @default.
- W3176482771 created "2021-07-05" @default.
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- W3176482771 date "2021-05-17" @default.
- W3176482771 modified "2023-09-27" @default.
- W3176482771 title "On the use of Wavelet Transform based Adaptive Filtering for de-noising of Pulse Oximeter signals" @default.
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- W3176482771 doi "https://doi.org/10.1109/i2mtc50364.2021.9459833" @default.
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