This is quite stratightforward issue. You can design a band-pass filter using the help given here: https://www.mathworks.com/help/signal/ref/butter.html
--
fs = 5e3; % Sampling frequency of your signal
n = 3; % Filter ORDER. Be careful while choosing it
Wn = [5 375]/fs; % Frequency band-pass
ftype = 'bandpass';
% Transfer Function Design
[b,a] = butter(n,Wn,ftype);
t=linspace(0, 1, fs);
S = 2.3*sin(2*pi*5*t)+.5*sin(2*pi*375*t)+1.25*sin(2*pi*475*t); % It has 3 freq components, viz. 5, 375, 475 Hz
SF = filter(b,a,S);
plot(t, S, 'r'), hold on; grid on
plot(t, SF, 'b'), legend('Raw data', 'Filtered data with band-pass filter', 'location', 'best')
xlabel('time, [sec]'),
ylabel('Signal Magnitude')
