15-10-2020 дата публикации
Номер: US20200323493A1
Автор:
Rahul ARORA,
Sujit JOS,
Ibrahim ABDUL MAJEED,
Ka Ram CHOI,
Sang Kon BAE,
ARORA RAHUL,
JOS SUJIT,
MAJEED IBRAHIM ABDUL,
CHOI KA RAM,
BAE SANG KON,
ARORA, Rahul,
JOS, Sujit,
MAJEED, Ibrahim ABDUL,
CHOI, Ka Ram,
BAE, Sang Kon
The present disclosure relates to a method and system for processing a photoplethysmogram (PPG) signal to improve accuracy of measurement of physiological parameters of a subject. The method may include removing a baseline drift from the PPG signal; obtaining a drift removed signal; filtering the drift removed signal; obtaining a filtered signal; performing motion artifact correction on the filtered signal; and obtaining a corrected signal. 1. A method for processing a photoplethysmogram (PPG) signal , the method comprising:removing, by a device, a baseline drift from the PPG signal;obtaining, by the device, a drift removed signal, based on removing the drift from the PPG signal;filtering, by the device, the drift removed signal;obtaining, by the device, a filtered signal, based on filtering the drift removed signal;performing, by the device, motion artifact correction on the filtered signal; andobtaining, by the device, a corrected signal, based on performing the motion artifact correction on the filtered signal.2. The method of claim 1 , further comprising:measuring at least one of a blood pressure, a heart rate, an oxygen saturation, a glucose level, and a mental stress level based on the corrected signal.3. The method of claim 1 , wherein removing the baseline drift from the PPG signal comprises:performing a multi-level decomposition on the PPG signal using discrete wavelet transform (DWT);obtaining approximation coefficients, based on performing the multi-level decomposition on the PPG signal;obtaining a drift signal from the approximation coefficients at a pre-defined level;removing the drift signal from the PPG signal; andobtaining the drift removed signal based on removing the drift signal from the PPG signal.4. The method of claim 3 , wherein the multi-level decomposition is performed by using a Daubechies 4 (db4) mother wavelet.5. The method of claim 1 , wherein filtering the drift removed signal is performed by using a filter of order n claim 1 , ...
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