The application discloses a
Helicobacter pylori
breath test signal denoising fitting method and
system, and belongs to the technical field of medical detection and
signal processing. The method processes the
continuous monitoring signal of the 13CO2 / 12CO2
isotope ratio in
exhalation: firstly, the original signal is subjected to band-pass digital filtering to suppress high-
frequency noise; then, low-
frequency drift is eliminated through adaptive baseline correction to generate a drift-removed signal; subsequently, a robust
peak value recognition algorithm is used to extract physiological
response characteristics; finally, the identified
peak value is taken as the center, a nonlinear function with physiological constraints is used for local fitting, and the
Delta Over Baseline value is calculated based on the generated fitting curve with high precision. The application effectively solves the signal
distortion problem caused by
breathing fluctuations, instrument
noise and the like in
in vivo detection, realizes high-fidelity restoration of the
Helicobacter pylori metabolic response, and significantly improves the detection accuracy and reliability of the
breath test.