Fetal heart rate (FHR) baseline estimation is of significance for the computerized analysis of fetal heart rate and the assessment of fetal state. In our work, a fetal heart rate baseline correction algorithm was presented to make the existing baseline more accurate and fit to the tracings. Firstly, the deviation of the existing FHR baseline was found and corrected. And then a new baseline was obtained finally after treatment with some smoothing methods. To assess the performance of FHR baseline correction algorithm, a new FHR baseline estimation algorithm that combined baseline estimation algorithm and the baseline correction algorithm was compared with two existing FHR baseline estimation algorithms. The results showed that the new FHR baseline estimation algorithm did well in both accuracy and efficiency. And the results also proved the effectiveness of the FHR baseline correction algorithm.
Transcuataneous electrical nerve stimulation (TENS) analgesia as a non-drug method has received people's more and more attention recently. Considering problems of existing products, such as unstable performance and unsatisfied effectiveness, we developed a new analgesia therapy system for delivery based on bio-feedback TENS in our laboratory. We proposed a new idea for stimulation signal design, that is, we modulated a middle frequency signal by a traditional low frequency TENS wave in the new system. We designed different prescription waves for pain relief during a uterine contraction or massage between contractions. In the end, a bio-feedback TENS method was proposed, in which the waveforms of stimulation signals were selected and their parameters were modified automatically based on feedback from uterine pressure, etc. It was proved through quality tests and clinical trials that the system had good performance and satisfied analgesia effectiveness.
