Prevention of medical errors

Humans modulate arm stiffness to facilitate motor communication during overground physical human-robot interaction.

Humans can physically interact with other humans adeptly. Some overground interaction tasks, such as guiding a partner across a room, occur without visual and verbal communication, which suggests that the information exchanges occur through sensing movements and forces. To understand the process of motor communication during overground physical interaction, we hypothesized that humans modulate the...

Building a Real-Time Testing Platform for Unmanned Ground Vehicles with UDP Bridge.

Perception and vehicle control remain major challenges in the autonomous driving domain. To find a proper system configuration, thorough testing is needed. Recent advances in graphics and physics simulation allow researchers to build highly realistic simulations that can be used for testing in safety-critical domains and inaccessible environments. Despite the high complexity of urban environments,...

Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System.

Smart health presents an ever-expanding attack surface due to the continuous adoption of a broad variety of Internet of Medical Things (IoMT) devices ...

Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans.

Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most common tumor in both men and women worldwide. The earl...

E-Cardiac Care: A Comprehensive Systematic Literature Review.

The Internet of Things (IoT) is a complete ecosystem encompassing various communication technologies, sensors, hardware, and software. IoT cutting-edg...

Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias.

In this article, a delay-compensation-based state estimation (DCBSE) method is given for a class of discrete time-varying complex networks (DTVCNs) su...

FPGA Applied to Latency Reduction for the Tactile Internet.

Tactile internet applications allow robotic devices to be remotely controlled over a communication medium with an unnoticeable time delay. In bilatera...

Design of Synchronization Tracking Adaptive Control for Bilateral Teleoperation System with Time-Varying Delays.

The performances of position synchronization and force interaction of the teleoperation system provide a safe and efficient way for operators to perfo...

Feasibility and efficacy of TouchCare system using application for older adults living alone: a pilot pre-experimental study.

BACKGROUND: With the number of older people living alone continuously rising, health-monitoring systems using information and communication technology...

Deep Learning and 5G and Beyond for Child Drowning Prevention in Swimming Pools.

Drowning is a major health issue worldwide. The World Health Organization's global report on drowning states that the highest rates of drowning deaths...

Emergency Information Communication Structure by Using Multimodel Fusion and Artificial Intelligence Algorithm.

With the development of The Times, social events are increasing, and emergency management has gradually become the main helper to solve the crisis in ...

A Fully Deep Learning Paradigm for Pneumoconiosis Staging on Chest Radiographs.

Pneumoconiosis staging has been a very challenging task, both for certified radiologists and computer-aided detection algorithms. Although deep learni...

Radiomics in neuro-oncological clinical trials.

The development of clinical trials has led to substantial improvements in the prevention and treatment of many diseases, including brain cancer. Advan...

A deep learning-based approach to diagnose mild traumatic brain injury using audio classification.

Mild traumatic brain injury (mTBI or concussion) is receiving increased attention due to the incidence in contact sports and limitations with subjecti...

N⁴ Sim: The First Nervous NaNoNetwork Simulator With Synaptic Molecular Communications.

The unconventional nature of molecular communication necessitates contributions from a host of scientific fields making the simulator design for such ...

Input-to-State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints: Genetic Algorithm-Based Performance Optimization.

This work investigates the stabilization problem of uncertain stochastic Markovian jump systems (MJSs) under communication constraints. To reduce the ...

Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence.

In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated th...

Continuous learning of spiking networks trained with local rules.

Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning. In contrast, the brain can learn continuously wi...

Low precision decentralized distributed training over IID and non-IID data.

Decentralized distributed learning is the key to enabling large-scale machine learning (training) on the edge devices utilizing private user-generated...

Training in the protocol for robotic undocking for life emergency support (RULES) improves team communication, coordination and reduces the time required to decouple the robotic system from the patient.

INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an increase in surgical procedures complexity. Occurrence...