Prevention of medical errors

Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity.

The effectiveness of today's human-machine interaction is limited by a communication bottleneck as operators are required to translate high-level concepts into a machine-mandated sequence of instructions. In contrast, we demonstrate effective, goal-oriented control of a computer system without any form of explicit communication from the human operator. Instead, the system generated the necessary i...

Automated selection of brain regions for real-time fMRI brain-computer interfaces.

OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site expert supervision are required for ROI definition. To automate this step, we developed two unsupervised computational techniques based on the general li...

Development of chronic hepatitis B infection in a hepatitis B vaccine responder.

The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We report the development of chronic HBV infection (Gen...

Diagnosis, misdiagnosis, lucky guess, hearsay, and more: an ontological analysis.

BACKGROUND: Disease and diagnosis have been the subject of much ontological inquiry. However, the insights gained therein have not yet been well enoug...

Design and Hardware Implementation of a New Chaotic Secure Communication Technique.

In this paper, a scheme for chaotic modulation secure communication is proposed based on chaotic synchronization of an improved Lorenz system. For the...

Medical telerobotic systems: current status and future trends.

Teleoperated medical robotic systems allow procedures such as surgeries, treatments, and diagnoses to be conducted across short or long distances whil...

A Novel RSSI Prediction Using Imperialist Competition Algorithm (ICA), Radial Basis Function (RBF) and Firefly Algorithm (FFA) in Wireless Networks.

This study aims to design a vertical handover prediction method to minimize unnecessary handovers for a mobile node (MN) during the vertical handover ...

Event-triggered H∞ filter design for delayed neural network with quantization.

This paper is concerned with H∞ filter design for a class of neural network systems with event-triggered communication scheme and quantization. Firstl...

Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems.

Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscient...

Design and Construction of a Microcontroller-Based Ventilator Synchronized with Pulse Oximeter.

This study aims to introduce a novel device with which mechanical ventilator and pulse oximeter work in synchronization. Serial communication techniqu...

A MULTICENTER, LONGITUDINAL, INTERVENTIONAL, DOUBLE BLIND RANDOMIZED CLINICAL TRIAL IN HEMATOPOIETIC CELL TRANSPLANT RECIPIENTS RESIDING IN REMOTE AREAS: LESSONS LEARNED FROM THE LATE CYTOMEGALOVIRUS PREVENTION TRIAL.

PURPOSE: The logistics of conducting double-blinded phase III clinical trials with participants residing in remote locations are complex. Here we desc...

Ecological systems as computer networks: Long distance sea dispersal as a communication medium between island plant populations.

Ecological systems are known to exchange genetic material through animal species migration and seed dispersal for plants. Isolated plant populations h...

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM.

With the advances of machine learning algorithms and the pervasiveness of network terminals, the online medical prediagnosis system, which can provide...

State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol.

This paper is concerned with the state estimation problem for a class of artificial neural networks (ANNs) without the assumptions of monotonicity or ...

Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links.

This paper is concerned with the problem of extended dissipativity-based state estimation for discrete-time Markov jump neural networks (NNs), where t...

Optimal Modality Selection for Cooperative Human-Robot Task Completion.

Human-robot cooperation in complex environments must be fast, accurate, and resilient. This requires efficient communication channels where robots nee...

"Look at my classifier's result": Disentangling unresponsive from (minimally) conscious patients.

Given the fact that clinical bedside examinations can have a high rate of misdiagnosis, machine learning techniques based on neuroimaging and electrop...

Lynx: Automatic Elderly Behavior Prediction in Home Telecare.

This paper introduces Lynx, an intelligent system for personal safety at home environments, oriented to elderly people living independently, which enc...

A Matter of Perspective: Comparison of the Characteristics of Persons with HIV Infection in the United States from the HIV Outpatient Study, Medical Monitoring Project, and National HIV Surveillance System.

Comparative analyses of the characteristics of persons living with HIV infection (PLWH) in the United States (US) captured in surveillance and other o...

Accessing complex patient data from Arden Syntax Medical Logic Modules.

OBJECTIVE: Arden Syntax is a standard for representing and sharing medical knowledge in form of independent modules and looks back on a history of 25 ...