Recognition of elementary upper limb movements in an activity of daily living using data from wrist mounted accelerometers

In this paper we present a methodology as a proof of concept for recognizing fundamental movements of the humanarm (extension, flexion and rotation of the forearm) involved in ‘making-a-cup-of-tea’, typical of an activity of daily-living (ADL). The movements are initially performed in a controlled environment as part of a training phase and the data are grouped into three clusters using k-means clustering. Movements performed during ADL, forming part of the testing phase, are associated with each cluster label using a minimum distance classifier in a multi-dimensional feature space, comprising of features selected from a ranked set of 30 features, using Euclidean and Mahalonobis distance as the metric. Experiments were performed with four healthy subjects and our results show that the proposed methodology can detect the three movements with an overall average accuracy of 88% across all subjects and arm movement types using Euclidean distance classifier

Study of relation of serum magnesium level with glycemic control in diabetes mellitus

Background: Diabetes mellitus (DM) refers to a group of common metabolic disorders that share the phenotype of hyperglycemia. Several distinct types of DM are caused by a complex interaction of genetics and environmental factors. This study was done to evaluate the relation between serum magnesium and glycemic control in diabetics.Methods: 50 patients of T2DM were included this study. Detailed history, physical examination and relevant systemic examination were performed and necessary laboratory tests FBS, PPBS, HbA1c, magnesium level were doneResults: The mean age (mean± SD) of the patients was 49.82±7.38 years with range 29-58 years and the median age was 51 years and Male 32 (64%), Female 18 (36%), M:F= 1.78:1. In this study, statistically significant correlation was found between level of magnesium and age (p=0.04). In present study no statistically significant association was found between level of magnesium and sex (p=0.738). In high magnesium level (≥1.7), mean BMI 25.08±2.82 whereas mean BMI 24.25±2.87 in low magnesium level (<1.7) and this difference was not statistically significant (p=0.308). Mean difference of FBS with magnesium level was statistically significant (p<0.001) and mean difference of PPBS with magnesium level was also statistically significant (p<0.001). It was also found that mean difference of HbA1c level with magnesium level was statistically significant (p<0.001).Conclusions: This study clearly depicts that in diabetes mellitus serum magnesium levels had a positive correlation with glycemic control. Serum levels of magnesium have been found to correlate inversely with fasting blood glucose concentration, post prandial blood glucose concentration and the percentage of HbA1c. The study also establishes a positive correlation of magnesium with age

Forecasting formation of a Tropical Cyclone Using Reanalysis Data

The tropical cyclone formation process is one of the most complex natural phenomena which is governed by various atmospheric, oceanographic, and geographic factors that varies with time and space. Despite several years of research, accurately predicting tropical cyclone formation remains a challenging task. While the existing numerical models have inherent limitations, the machine learning models fail to capture the spatial and temporal dimensions of the causal factors behind TC formation. In this study, a deep learning model has been proposed that can forecast the formation of a tropical cyclone with a lead time of up to 60 hours with high accuracy. The model uses the high-resolution reanalysis data ERA5 (ECMWF reanalysis 5th generation), and best track data IBTrACS (International Best Track Archive for Climate Stewardship) to forecast tropical cyclone formation in six ocean basins of the world. For 60 hours lead time the models achieve an accuracy in the range of 86.9% - 92.9% across the six ocean basins. The model takes about 5-15 minutes of training time depending on the ocean basin, and the amount of data used and can predict within seconds, thereby making it suitable for real-life usage

Selenium Supplementation in Pregnancy-Maternal and Newborn Outcomes

Peer reviewedPublisher PD

Chern-Weil theory for principal bundles over Lie groupoids and differentiable stacks

Let $\mathbb{X}=[X_1\rightrightarrows X_0]$ be a Lie groupoid equipped with a connection, given by a smooth distribution $\mathcal{H} \subset T X_1$ transversal to the fibers of the source map. Under the assumption that the distribution $\mathcal{H}$ is integrable, we define a version of de Rham cohomology for the pair $(\mathbb{X}, \mathcal{H})$, and we study connections on principal $G$-bundles over $(\mathbb{X}, \mathcal{H})$ in terms of the associated Atiyah sequence of vector bundles. We also discuss associated constructions for differentiable stacks. Finally, we develop the corresponding Chern-Weil theory and describe characteristic classes of principal $G$-bundles over a pair $(\mathbb{X}, \mathcal{H})$.Comment: comments are welcom

A study on prognostic significance of serum uric acid in acute myocardial infarction in a tertiary care institute

Background: This study was done to find out any relationship between serum uric acid and AMI severity and its short-term outcome. To see the correlation between serums uric acid level with Killip Class and mortality outcome following AMI.Methods: 100 patients of AMI were included this study based on the inclusion and exclusion criteria. Detailed history, physical examination and relevant systemic examination including detailed examination of CVS system were done as per a structured proforma and necessary laboratory investigations were done.Results: 100 cases of myocardial infarction were studied, out of which 90 patients had STEMI and 10 patients had NSTEMI. There is significant difference of D0 uric acid level was observed for previous history of AMI. There is significant difference in mean uric acid level between dyslipidemic and non-dyslipidemic population. There is significant difference in mean uric acid level on D0 between diabetic and non-diabetic population. Serum uric acid level is low among patients with lower Killip class and high among higher Killip class. Lower the uric acid level, higher the percentage of survival and higher the uric acid level, higher the percentage of mortality.Conclusions: Patients of Killip class lll and lV had higher levels of uric acid as compared to patients of class l and ll. Combination of Killip class and serum uric acid level after acute myocardial infarction is a good predictor of severity of heart failure after AMI

Atiyah sequences and connections on principal bundles over differentiable stacks

We construct and study general connections on Lie groupoids and differentiable stacks as well as on principal bundles over them using Atiyah sequences associated to transversal tangential distributions.Comment: comments are welcom