This is an interesting problem. If you can identify a few peaks that occur throughout the 600 s measurement, and those peaks are present in both signals, I think it's actually easy to solve elegantly.
Say in signal A you find five peaks at times
ta_peaks = [51 90 200 306 510];
and you see those same peaks in signal B, but in signal B they appear to occur at
tb_peaks = [49 89 200 307 515];
Start by fitting a relationship between ta and tb:
plot(ta_peaks,tb_peaks,'o')
hold on
xlabel 'time a peaks'
ylabel 'time b peaks'
% Relate time b to time a:
p = polyfit(ta_peaks,tb_peaks,2); % quadratic fit
tb_fit = polyval(p,ta_peaks);
plot(ta_peaks,tb_fit)
Now with the relationship between clock A and clock B, you can use interp1 to interpolate signal B to the timing of signal A's clock.
B_interp = interp1(tb,B,polyval(p,ta));
and now the peaks and overall timing of B_interp should align with the signal A.
