Background & aim: Hemolysis, elevated liver enzymes, AND LOW PLATELETS SYNDROME ((HELLP)) was mimicked by several infectious conditions. It is critically important to distinguish these two, since their management AND course differs, substantially. Case report: The case was a 27-year-old gravid patient with gestational age of 30 weeks who initially presented with headache AND LOWer limb pain as well as leukopenia (AND lymphopenia), normochromic normocytic anemia, thrombocytopenia, abnormal liver enzymes, increased lactate dehydrogenase enzyme AND C-reactive protein. The patient was initially managed for (HELLP) SYNDROME, but due to the atypical presentation (LOW blood pressure AND an episode of delirium when admitted), the novel coronavirus disease 2019 (COVID-19), realtime reverse transcription polymerase chain reaction (rRT-PCR) was requested for the patient that was positive. The spiral lung high-resolution computed tomography scan revealed changes compatible with COVID-19 diagnosis. Finally, the patient underwent uncomplicated normal vaginal delivery at 39th gestational week. Conclusion: It is important to consider the COVID-19 in differential diagnosis of patients suspected to (HELLP) SYNDROME, as the isolation AND treatment of the patient is different AND time-sensitive.

Background: Hyperreactio Luteinalis (HL) is a rare condition during spontaneous pregnancy characterized by bilaterally, or in rare cases, unilaterally enlarged ovaries containing multiple self-limited theca lutein cysts, usually associated with high maternal serum levels of human chorionic gonadotropin (HCG) AND hyperANDrogenic state. Most of the patients require surgical intervention during their pregnancy because of ovarian torsion, preeclampsia, SYNDROME of hemolysis, elevated liver enzyme levels, AND LOW platelet levels ((HELLP)), or to rule out ovarian malignancy. However, we can avoid unnecessary surgical intervention with accurate diagnosis of HL by means of laboratory tests AND magnetic resonance imaging (MRI).Case Report: A 27-year-old pregnant woman with gestational age of 27 weeks was admitted with labor pain AND complicated with (HELLP) SYNDROME. In ultrasonography, bilateral AND multiple ovarian cysts were seen.Conclusion: Reviewing this case suggests a relationship between HL AND (HELLP) SYNDROME AND may help to explain the underlying causes of preeclampsia; HL may be a predictor of preeclampsia AND (HELLP) SYNDROME in pregnancy.

Inertial Navigation System (INS) is one of the navigation systems widely used in various lAND-based, aerial, AND marine applications. Among all types of INS, Microelectromechanical System (MEMS)-based INS can be widely utilized, owing to their LOW cost, lightweight, AND small size. However, due to the manufacturing technology, MEMS-based INS suffers from deterministic AND stochastic errors, which increase positioning errors over time. In this paper, a new effective noise reduction method is proposed that can provide more accurate outputs of MEMS-based inertial sensors. The intelligent method in this paper is a combined denoising method that combines Wavelet Transform (WT), Permutation Entropy (PE), Support Vector Regression (SVR), AND Genetic Algorithm (GA). Firstly, WT is employed to obtain a time-frequency representation of raw data. Secondly, a four-element feature vector is formed. These four features are (1) amplitude of frequency, (2) its ratio to mean of amplitudes of all frequencies, (3) location of frequency in time-frequency representation, AND (4) judgment on behaviors of frequency that is obtained by utilizing PE. Thirdly, based on the feature vector, the GA-SVR algorithm predicts amplitudes of all frequencies in the time-frequency representation of the denoised signal. Finally, by employing inverse WT the denoised signal is obtained. In this work, the outputs of the Inertial Measurement Unit (IMU) in ADIS16407 sensor, as a LOW-cost AND MEMS-based INS, have been utilized for data collection. The proposed method has been compared with other noise reduction methods AND the achieved results verify superior improvement than other methods.