A Novel Contact Free Sensor for the Prediction of Ovulation and Fertile Window

INTRODUCTION: Available methods for fertility prediction, require the user to follow a strict protocol, such as measuring basal body temperature or urine LH levels, on a daily basis. The new contact free sensor requires minimal compliance from the user and may increases the chances to conceive.

AIM: To evaluate the performance of a novel contact-free sensor in prediction of women`s fertile window.

MATERIALS AND METHODS: Heart rate, heart rate variability and respiration rate were measured during a period of 3-6 months. Those measurements were recorded during night time, using the contact free sensor positioned under the mattress. Prediction of a fertile window was obtained using an algorithm based on the sensor measurements and menses dates. Referenced ovulation day was determined based on blood tests and transvaginal ultrasound scans for measuring the hormone levels (LH, Estrogen, and Progesterone), and follicular size.

RESULTS: We present an interim analysis, including 30 healthy, normal-ovulatory women. Mean age was 31+4.4 years. Total of 216 menstrual cycles were recorded. Prediction value for fertile window as obtained by the sensor, was 61.3 ± 4.9 percent (Mean+SE) after the first menstrual cycle and reached 72.2 ± 5.1 percent (Mean+SE) after three menstrual cycles. Prediction value as obtained by the standard method was 53.0 ± 6.9 percent (Mean+SE) after the first menstrual and reached 63.3 ± 6.3 (Mean+SE) after three menstrual cycles.

CONCLUSIONS: The data analysis in this interim report, suggests that the use of this contact free sensor, enhances the ability to accurately predict the fertile window as defined by the expert reference.