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Shivani Agarwal

Publications and source records attributed to Shivani Agarwal.

5 recordsLinked to original sources
PubMed2005

Spinal motoneuron excitability in iron deficiency anaemia.

Decreased tissue oxygenation resulting from iron deficiency anaemia produces generalized weakness and fatigue. The precise physiological mechanism underlying this weakness is unknown and studies in this regard have been scarce. One possible underlying mechanism has been suggested to be reduction of spinal motoneuron excitability. F waves are low amplitude motor responses to nerve stimulation, produced by antidromic activation of the peripheral motor fibers, resulting in recurrent discharge of motoneurons. F waves have been established as an efficient tool to assess spinal motoneuron excitability. 15 patients of iron deficiency anaemia using inclusion criteria of hemoglobin level < 9 g/dL and serum ferritin < 15 microg/L were studied. 8 controls with hemoglobin levels > 12 g/ dL were also included. Bilateral median and common peroneal F wave studies were performed. F wave mean latency, chronodispersion, persistence and mean amplitude were studied. They were within the normal range and no significant differences between the patients and the controls were found. We conclude that spinal motoneuron excitability is not reduced in iron deficiency anaemia. A decreased tissue oxygenation leading to a change in the brain neurotransmitters may have a role to play.

Adult↗
PubMed2005

Idiopathic thrombocytopenic purpura complicating pregnancy.

Idiopathic thrombocytopenic purpura is a relatively common but unrecognised auto-immune disorder among women of child bearing age. Nearly one-third of patients present with bleeding tendency in pregnancy. Management necessitates care of mother during pregnancy and delivery and care of the baby. Steroids remain the chief, economical and effective method of raising platelet counts, but platelet transfusion and human intravenous high dose alpha-globulin may be required. Neonatal thrombocytopenia must be expected and managed. Management of patient, since it concerns two lives, should be individualised and carefully planned in consultation with haematologist and paediatrician.

Adult↗
PubMed2004

Learning to detect objects in images via a sparse, part-based representation.

We study the problem of detecting objects in still, gray-scale images. Our primary focus is the development of a learning-based approach to the problem that makes use of a sparse, part-based representation. A vocabulary of distinctive object parts is automatically constructed from a set of sample images of the object class of interest; images are then represented using parts from this vocabulary, together with spatial relations observed among the parts. Based on this representation, a learning algorithm is used to automatically learn to detect instances of the object class in new images. The approach can be applied to any object with distinguishable parts in a relatively fixed spatial configuration; it is evaluated here on difficult sets of real-world images containing side views of cars, and is seen to successfully detect objects in varying conditions amidst background clutter and mild occlusion. In evaluating object detection approaches, several important methodological issues arise that have not been satisfactorily addressed in previous work. A secondary focus of this paper is to highlight these issues and to develop rigorous evaluation standards for the object detection problem. A critical evaluation of our approach under the proposed standards is presented.

Algorithms↗