AIMC Topic: Computer Simulation

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Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Human Activity Recognition (HAR) is a growing field of research in biomedical engineering and it has many potential applications in the treatment and prevention of several diseases. Due to the recent advancement in technology, devices that collect po...
Accelerometry Computer Simulation Activities of Daily Living Humans Neural Networks, Computer Algorithms
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Deep Learning Classification Models Built with Two-step Transfer Learning for Age Related Macular Degeneration Diagnosis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The objective of this study was to build deep learning models with optical coherence tomography (OCT) images to classify normal and age related macular degeneration (AMD), AMD with fluid, and AMD without any fluid. In this study, 185 normal OCT image...
Deep Learning ROC Curve Tomography, Optical Coherence Macular Degeneration Humans Computer Simulation
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PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Photoplethysmogram (PPG) is increasingly used to provide monitoring of the cardiovascular system under ambulatory conditions. Wearable devices like smartwatches use PPG to allow long-term unobtrusive monitoring of heart rate in free-living conditions...
Wearable Electronic Devices Photoplethysmography Signal Processing, Computer-Assisted Computer Simulation Deep Learning Models, Cardiovascular Heart Rate Artifacts Monitoring, Ambulatory Humans Algorithms
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Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epochs, plays an important role in sleep monitoring and diagnosing sleep disorders. We present in this work a model fusion approach to automate this task. ...
Humans Computer Simulation Sleep Wake Disorders Deep Learning Sleep Stages Polysomnography
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A more human approach to artificial intelligence.

Nature Jul 1, 2019
Neural Networks, Computer Robotics Culture Artificial Intelligence Environment Computer Simulation Humans Communication Virtual Reality Cognition
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Deep learning: new computational modelling techniques for genomics.

Nature reviews. Genetics Jul 1, 2019
As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requir...
Humans Neural Networks, Computer Computer Simulation Unsupervised Machine Learning Supervised Machine Learning Base Sequence Deep Learning Genomics Models, Genetic
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Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Design of rehabilitation and physical assistance robots that work safely and efficiently despite uncertain operational conditions remains an important challenge. Current methods for the design of energy efficient series elastic actuators use an optim...
Joint Prosthesis Humans Torque Computer Simulation Motor Activity Robotics Elasticity Uncertainty Equipment Design Ankle Joint Walking
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3-D Dynamic Walking Trajectory Generation for a Bipedal Exoskeleton with Underactuated Legs: A Proof of Concept.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
This paper presents a framework to address three dimensional (3-D) dynamic walking for a bipedal exoskeleton with underactuated legs. To achieve this goal, the framework is constructed via a trajectory generator and an optimized inverse kinematics al...
Computer Simulation Biomechanical Phenomena Walking Humans Robotics Models, Biological Algorithms Exoskeleton Device
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A Platform Integrating Acquisition, Reconstruction, Visualization, and Manipulator Control Modules for MRI-Guided Interventions.

Journal of digital imaging Jun 1, 2019
This work presents a platform that integrates a customized MRI data acquisition scheme with reconstruction and three-dimensional (3D) visualization modules along with a module for controlling an MRI-compatible robotic device to facilitate the perform...
Contrast Media Robotics Magnetic Resonance Imaging, Interventional Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Abdomen Computer Simulation
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Opportunities and challenges using artificial intelligence in ADME/Tox.

Nature materials May 1, 2019
A recent conference organized a panel of scientists representing small and big pharma companies, who work at the interface of machine learning (ML) and absorption, distribution, metabolism, excretion, and toxicology (ADME/Tox). With the recent rebirt...
Congresses as Topic Technology, Pharmaceutical Pharmacokinetics Drug Design Machine Learning Humans Drug Discovery Algorithms Computational Biology Artificial Intelligence Deep Learning Decision Making Computer Simulation Mitochondria
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