Simple statistical inference algorithms for task-dependent wellness assessment
Stress is a key indicator of wellness in human beings and a prime contributor to performance degradation and errors during various human tasks. The overriding purpose of this paper is to propose two algorithms (probabilistic and non-probabilistic) that ...
Automatic analysis of trabecular bone structure from knee MRI
We investigated the feasibility of quantifying osteoarthritis (OA) by analysis of the trabecular bone structure in low-field knee MRI. Generic texture features were extracted from the images and subsequently selected by sequential floating forward ...
Medical ultrasound image compression using contextual vector quantization
With ever increasing use of medical ultrasound (US) images, a challenge exists to deal with storage and transmission of these images while still maintaining high diagnostic quality. In this article, a state-of-the-art context based method is proposed to ...
Machine learning on-a-chip: A high-performance low-power reusable neuron architecture for artificial neural networks in ECG classifications
Artificial neural networks (ANNs) are a promising machine learning technique in classifying non-linear electrocardiogram (ECG) signals and recognizing abnormal patterns suggesting risks of cardiovascular diseases (CVDs). In this paper, we propose a new ...
A scalable and accurate method for classifying protein-ligand binding geometries using a MapReduce approach
We present a scalable and accurate method for classifying protein-ligand binding geometries in molecular docking. Our method is a three-step process: the first step encodes the geometry of a three-dimensional (3D) ligand conformation into a single 3D ...
Prediction of the brain temperature from other body temperatures in hypothermia induced rats by using artificial neural networks
In this study, a microcontroller based temperature controlled hypothermia induction system is realized. The novelty of the experimental system is in using a thermoelectric Peltier cooler to bring the body temperature to hypothermic levels. The right and ...
The impact of fine-tuning of optical recognition system on database reliability
Although optical reading systems are important tools to transfer data from a paper form to electronic databases, the impact of system fine-tuning on the final error rate is not usually considered. At the end of a multi-step process involving paper form ...