Evaluation of the Performance of Portable Hemoglobinometers at Measuring Hemoglobin and Detecting Anemia in a Periurban Pediatric Population in Lima, Peru.

As many as one in three people worldwide have anemia, with young children at increased risk of both disease and complications. In settings without clinical laboratories, portable hemoglobinometers serve important roles in diagnosing anemia and estimating prevalence. Here, we assess the validity of two such point-of-care devices-the HemoCue Hb201 and the HemoCue Hb301-relative to the international reference standard, the cyanmethemoglobin method.

Autism Detection in Children by Combined Use of Gaze Preference and the M-CHAT-R in a Resource-Scarce Setting.

Most children with autism spectrum disorder (ASD), in resource-limited settings (RLS), are diagnosed after the age of four. Our work confirmed and extended results of Pierce that eye tracking could discriminate between typically developing (TD) children and those with ASD. We demonstrated the initial 15 s was at least as discriminating as the entire video.

A Functional Model for Unifying Brain Computer Interface Terminology.

Brain Computer Interface (BCI) technology is a critical area both for researchers and clinical practitioners. The IEEE P2731 working group is developing a comprehensive BCI lexicography and a functional model of BCI. The glossary and the functional model are inextricably intertwined.

Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition.

Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually curable with antibiotic therapy. In many developing regions, diagnosing pneumonia remains a challenge, due to shortages of medical resources. Lung ultrasound has proved to be a useful tool to detect lung consolidation as evidence of pneumonia.

Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children.

Background: Autism spectrum disorder (ASD) currently affects nearly 1 in 160 children worldwide. In over two-thirds of evaluations, no validated diagnostics are used and gold standard diagnostic tools are used in less than 5% of evaluations. Currently, the diagnosis of ASD requires lengthy and expensive tests, in addition to clinical confirmation.