Beat-to-Beat Fetal Heart Rate Analysis Using Portable Medical Device and Wavelet Transformation Technique

A beat-to-beat Tele-fetal Monitoring and comparison with clinical data are studied with multi wavelet trans-formation approach. Tele-fetal monitoring is a big progress toward wearable medical device for a pregnant woman capable of obtaining prenatal care at home. We propose an algorithm for fetal cardiac monitoring using a portable fetal Doppler medical device.

Automatic Feature Detection In Lung Ultrasound Images Using Wavelet And Radon Transformers

Lung ultrasonography is a significant advance toward a harmless lung imagery system. This work has investigated the automatic localization of diagnostically significant features in lung ultrasound pictures which are Pleural line, A-lines, and B-lines. Study Design: Wavelet and Radon transforms have been utilized in order to denoise and highlight the presence of clinically significant patterns. The proposed framework is developed and validated using 3 different lung ultrasound image datasets. Two of them contain synthetic data and the other one is taken from the publicly available POCUS dataset. The efficiency of the proposed method is evaluated using 200 real images. Results: The obtained results prove that the comparison between localized patterns and the baselines yields a promising F2-score of 62%, 86%, and 100% for B-lines, A-lines, and Pleural line, respectively. Conclusion: Finally, the high F-scores attained show that the developed technique is an effective way to automatically extract lung patterns from ultrasound images.