detect and remove motion artifacts from ppg signal using lms adaptive filter

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Vaasam Rajesh
Vaasam Rajesh 2021-5-12
回答： MULI 2024-11-6，11:25
fs=125;
frequency specifications
remove inband noise of motion artifacts from ppgsignal=(0.1 HZ or more);
allow freauency pulsatile portion=(0.5-4HZ); and resipiratory activity(0.2-0.35HZ);

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MULI
MULI 2024-11-6，11:25
Hi Rajesh,
I understand that you are looking for a method to remove noise from motion artifacts in a PPG signal.
You can follow the below steps to achieve this:
Design Bandpass Filter:
  • The bandpass filter should be designed to pass both the pulsatile portion (0.5-4 Hz) and respiratory activity (0.2-0.35 Hz).
bpFilt = designfilt('bandpassiir', 'FilterOrder', 4, ...
'HalfPowerFrequency1', 0.2, 'HalfPowerFrequency2', 4, ...
'SampleRate', fs);
filteredPPG = filtfilt(bpFilt, ppgsignal); % Apply the filter
For more information and examples related to “designfit” and “filfilt”function you can refer to the following links:
https://www.mathworks.com/help/releases/R2021a/signal/ref/designfilt.html
https://www.mathworks.com/help/releases/R2021a/signal/ref/filtfilt.html
Simulate or Use Reference Signal:
  • Use a reference signal that correlates with motion artifacts. If accelerometer data is unavailable, simulate a signal that mimics the artifact frequencies (e.g., starting from 0.1 Hz).
Apply LMS Adaptive Filtering:
  • Now use an LMS filter to adaptively remove the motion artifacts. The LMS filter should be configured to minimize the error between the reference signal (motion artifact) and the PPG signal.
filterOrder = 32; % Order of the adaptive filter
mu = 0.01; % Step size for the LMS algorithm
lmsFilter = dsp.LMSFilter('Length', filterOrder, 'StepSize', mu, 'Method', 'Normalized LMS');
[filteredSignal, ~] = lmsFilter(referenceSignal, filteredPPG);
For more information and examples related to “dsp.LMSFilter” function you can refer to the following link:
https://www.mathworks.com/help/releases/R2021a/dsp/ref/dsp.lmsfilter-system-object.html
By following these steps, you can isolate the desired physiological signals and minimize the impact of motion artifacts.

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