Fetal heart rate monitoring event detection involves analyzing fetalheart rate variability to predict fetal wellbeing. Today, Dopplerultrasound is commonly used for continuous monitoring during labor. Existing monitoring methods use autocorrelation or cross-correlation to extract evenly spaced heart rate samples. However, these methods can produce invalid or duplicated samples. New correction algorithms were proposed to recognize and remove these errors. The algorithms were tested on two fetal monitors and found to significantly improve fetal heart rate variability indices. The study recommends implementing these algorithms clinically to properly assess fetal heart rate variability. A study found fetal electrocardiogram monitoring using electrodes on the maternal abdomen to be as accurate as scalp electrodes and more reliable than ultrasound for continuous monitoring. Monitoring was possible for 91% of 507 patients. Beat-to-beat analysis of variability, important for evaluating fetoplacental function, was more precise than with ultrasound or phonocardiography. Internal electronic fetal monitoring does not increase adverse outcomes compared to external monitoring. External monitoring had more false heart rate decelerations. There were no significant differences in neonatal acidosis, cesarean delivery, maternal fever, or morbidity between groups. No infections, neonatal scalp injuries, or abscesses occurred. A method using in-phase and quadrature demodulation reduced false reports of fetal heart rate doubling or halving by 93% and 80% compared to conventional demodulation. This method was as accurate as internal monitoring. It had a narrower range of error and higher correlation with internal monitoring than conventional demodulation. A long-term Holter monitor collected data on fetal heart rate, uterine contractions, and maternal heart rate. Fetal heart rate baseline, accelerations, variability, and nonlinear parameters were analyzed. The fetal heart rate baseline decreased from nighttime to early morning, reaching a minimum around 2 AM. Acceleration area and time were higher in the normal group. Small variability was less common and medium variability more common in the normal group. There were no differences in maternal age, gestational age at delivery, comorbidities, or complications between diagnostic standards. Type 2 fetal heart rate patterns were most common and differed significantly between standards. Computer analysis of 125 fetal heart rate monitoring cases from 28 to 40 weeks gestation found the baseline heart rate decreased with increasing gestational age. The minimum baseline of 132.8 bpm occurred at 38 to 39 weeks. Heart rate variability fluctuated between 4 to 12 bpm, peaking at 32 to 33 weeks. Moderate variability increased from 28 weeks, peaking at 32 to 33 weeks at 65.8%, then decreasing to 56.2% at 37 weeks. Minimal variability showed an opposite trend. At 40 weeks, minimal and moderate variability were 50% each. Acceleration area did not change with gestation. Fetal heart rate matured most rapidly at 32 to 33 weeks gestation.