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InIn the attached code, all starts of the peak is getting detected. From this how to filter out dicrotic notch and valley?

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Anupama V
Anupama V 2023-1-4
编辑： Aditya Srikar 2023-3-30
LD = load('C:\Users\ANU\Desktop\TBME2013-PPGRR-Benchmark_R3\data\0009_8min.mat.mat')
% remove first trough:
ppg = LD.signal.pleth.y;
ppg(1:10) = [];
% indentify all peaks
[all_peak_value,all_peak_location]= findpeaks(ppg);
% identify all troughs in data
[all_trough_value,all_trough_location]= findpeaks(-ppg);
all_trough_value = -all_trough_value;
% identify main peak (i.e. ones lower than 5)
[main_trough_value,main_trough_location]= findpeaks(ppg,'MinPeakProminence',5);
counter = 0;
for i = 1:length(main_trough_location)
%c=[];
start=main_trough_location(i)-100;
ending=main_trough_location(i);
%c= (all_trough_location>start & all_trough_location<ending);
%c1=c(end);
[r,c] = find(all_trough_location>start & all_trough_location<ending);
end
figure
plot(ppg,'r')
hold on
plot(all_trough_location,all_trough_value,'ko')

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回答（1 个）

Aditya Srikar
Aditya Srikar 2023-3-30
编辑：Aditya Srikar 2023-3-30
Hi Anupama,
You can use high pass filter to remove low frequency tones. Through this, you can filter out dicrotic notch and valleys.
A high-pass filter attenuates signals below a cutoff frequency (the stopband) and allows signals above the cutoff frequency (the passband). The amount of attenuation depends on the design of the filter.
For more details, look at the following documentation.
https://in.mathworks.com/help/signal/ref/highpass.html
Hope it helps !

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