Publications by authors named "Shrutin Ulman"
Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor.
J Electr Bioimpedance
January 2022
The analysis of the uterine electrical activity and its propagation patterns could potentially predict the risk of prolonged/arrested progress of labor. In our study, the Electrohysterography (EHG) signals of 83 participants in labor at around 3-4 cm of cervical dilatation, were recorded for about 30 minutes each. These signals were analyzed for predicting prolonged labor.
View Article and Find Full Text PDFPurpose: Existing ultrasound-based fetal weight estimation models have been shown to have high errors when used in the Indian population. Therefore, the primary objective of this study was to develop Indian population-based models for fetal weight estimation, and the secondary objective was to compare their performance against established models.
Methods: Retrospectively collected data from 173 cases were used in this study.
Objective: The diagnosis of epilepsy cannot be reliably made prior to a patient's second seizure in most cases. Therefore, adequate diagnostic tools are needed to differentiate subjects with a first seizure from those with a seizure preceding the onset of epilepsy. The objective was to explore spontaneous blood oxygen level-dependent (BOLD) fluctuations in subjects with a first-ever seizure and patients with new-onset epilepsy (NOE), and to find characteristic biomarkers for seizure recurrence after the first seizure.
View Article and Find Full Text PDFBackground: Very limited information is available regarding the accuracy and applicability of various ultrasonography parameters [abdominal circumference (AC), biparietal diameter (BPD), femur length (FL), and head circumference (HC)]-based fetal weight estimation models for Indian population. The objective of this study was to systematically evaluate commonly used fetal weight estimation models to determine their appropriateness for an Indian population.
Methods: Retrospective data of 300 pregnant women was collected from a tertiary care center in Bengaluru, India.
Article Synopsis
- The study explores how brain activation patterns differ in children with language impairments and Rolandic epilepsy compared to healthy controls, highlighting that activation maps in patients are more heterogeneous.
- The researchers propose several spatial heterogeneity measures to quantitatively assess these patterns, focusing on aspects like shape, complexity, and gaps between activated regions.
- Lacunarity was identified as the most effective measure for distinguishing between patient and control activation patterns, suggesting that analyzing brain activation heterogeneity could enhance our understanding of brain disorders.