AIMC Topic: Biomedical Engineering

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Real-time Inference and Detection of Disruptive EEG Networks for Epileptic Seizures.

Scientific reports May 26, 2020
Recent studies in brain science and neurological medicine paid a particular attention to develop machine learning-based techniques for the detection and prediction of epileptic seizures with electroencephalogram (EEG). As a noninvasive monitoring met...
Brain Electroencephalography Female Epilepsy Male Humans Seizures Infant Biomedical Engineering Machine Learning Diagnosis, Computer-Assisted Child, Preschool Child
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Selected Papers from 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2019).

International journal of environmental research and public health Apr 16, 2020
Recently, healthcare has undergone a sector-wide transformation thanks to advances in computing, networking technologies, big data, and artificial intelligence. Healthcare is not only changing from being reactive and hospital-centered to preventive a...
Biomedical Engineering Delivery of Health Care Sustainable Development Artificial Intelligence
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A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications.

IEEE transactions on biomedical circuits and systems Feb 17, 2020
This paper reviews the state of the arts and trends of the AI-Based biomedical processing algorithms and hardware. The algorithms and hardware for different biomedical applications such as ECG, EEG and hearing aid have been reviewed and discussed. Fo...
Algorithms Signal Processing, Computer-Assisted Humans Biomedical Engineering Artificial Intelligence Electrodiagnosis
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Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.

IEEE transactions on biomedical circuits and systems Feb 4, 2020
This paper presents an adaptable dictionary-based feature extraction approach for spike sorting offering high accuracy and low computational complexity for implantable applications. It extracts and learns identifiable features from evolving subspaces...
Algorithms Models, Neurological Biomedical Engineering Electrodes, Implanted Action Potentials Unsupervised Machine Learning Signal Processing, Computer-Assisted
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Teaching cross-cultural design thinking for healthcare.

Breast (Edinburgh, Scotland) Jan 6, 2020
OBJECTIVES: Artificial intelligence (AI) is poised to transform breast cancer care. However, most scientists, engineers, and clinicians are not prepared to contribute to the AI revolution in healthcare. In this paper, we describe our experiences teac...
Male Students United States Cross-Cultural Comparison Female Young Adult Breast Neoplasms Portugal Intersectoral Collaboration Curriculum Patient Care Team Biomedical Engineering Humans Artificial Intelligence
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance.

Scientific reports Nov 22, 2019
Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to class...
Verbal Behavior Electrocorticography Biomedical Engineering Electrodes, Implanted Electrophysiological Phenomena Datasets as Topic Algorithms Task Performance and Analysis Brain Evoked Potentials Retrospective Studies Electroencephalography Unsupervised Machine Learning Epilepsy Humans Brain Mapping Sensitivity and Specificity Memory, Short-Term Cognition
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A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices.

Journal of healthcare engineering Oct 3, 2019
Detection of the state of mind has increasingly grown into a much favored study in recent years. After the advent of smart wearables in the market, each individual now expects to be delivered with state-of-the-art reports about his body. The most dom...
Mental Processes Wearable Electronic Devices Electrocardiography Accelerometry Monitoring, Physiologic Adult Blood Volume Humans Electromyography Male Biomedical Engineering Neural Networks, Computer Deep Learning Models, Biological Female Heart Rate Respiration
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Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations.

JMIR mHealth and uHealth Aug 2, 2019
The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care problems has received unprecedented attention in the last decade. The technique has recorded a number of achievements for unearthing meaningful features and ac...
Deep Learning Biomedical Engineering Nerve Net Humans Algorithms Delivery of Health Care
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Artificial intelligence, robotics and cyborgs: The future of research and technological development in ophthalmology.

Archivos de la Sociedad Espanola de Oftalmologia May 27, 2019
Big Data Robotics Ophthalmology Bionics Genetic Engineering Inventions Biomedical Engineering Artificial Intelligence Forecasting Computer Simulation Humans
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Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation.

Annual review of biomedical engineering Mar 1, 2019
Medical robotics is poised to transform all aspects of medicine-from surgical intervention to targeted therapy, rehabilitation, and hospital automation. A key area is the development of robots for minimally invasive interventions. This review provide...
Orthopedics Biomedical Engineering Robotic Surgical Procedures Drug Delivery Systems Translational Research, Biomedical Minimally Invasive Surgical Procedures Economics, Medical Robotics Humans Laparoscopy Neurosurgery Equipment Design
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