AIMC Topic:
Signal Processing, Computer-Assisted

Clear Filters Showing 1251 to 1260 of 1883 articles

Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch.

Physiological measurement Jul 23, 2018
OBJECTIVE: Participation in a physical therapy program is considered one of the greatest predictors of successful conservative management of common shoulder disorders. However, adherence to these protocols is often poor and typically worse for unsupe...
Neural Networks, Computer Male Machine Learning Humans Middle Aged Female Young Adult Adult Signal Processing, Computer-Assisted Physical Therapy Modalities Patient Compliance Exercise Therapy Computers, Handheld Healthy Volunteers Support Vector Machine Shoulder Monitoring, Physiologic
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A machine-learning framework for automatic reference-free quality assessment in MRI.

Magnetic resonance imaging Jul 21, 2018
Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large amount of data is created per examination which needs to be checked for sufficient quality in order to derive a meaningful diagnosis. This is a manual process and th...
Support Vector Machine Magnetic Resonance Imaging Signal Processing, Computer-Assisted Observer Variation Fourier Analysis Middle Aged Deep Learning Humans ROC Curve Neural Networks, Computer Image Processing, Computer-Assisted Retrospective Studies Aged Female Adult Databases, Factual Male Prospective Studies
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Ensemble Learning Approach via Kalman Filtering for a Passive Wearable Respiratory Monitor.

IEEE journal of biomedical and health informatics Jul 20, 2018
OBJECTIVE: Utilizing passive radio frequency identification (RFID) tags embedded in knitted smart-garment devices, we wirelessly detect the respiratory state of a subject using an ensemble-based learning approach over an augmented Kalman-filtered tim...
Humans Radio Frequency Identification Device Wearable Electronic Devices Machine Learning Monitoring, Physiologic Signal Processing, Computer-Assisted Algorithms Infant Respiratory Rate
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Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality.

NeuroImage Jul 19, 2018
Exploring brain networks is an essential step towards understanding functional organization of the brain, which needs characterization of linear and nonlinear connections based on measurements like EEG or MEG. Conventional measures of connectivity ar...
Humans Neural Networks, Computer Electroencephalography Epilepsy Signal Processing, Computer-Assisted Cerebral Cortex Computer Simulation Adult Models, Theoretical Connectome Magnetoencephalography
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Optimizing Autoencoders for Learning Deep Representations From Health Data.

IEEE journal of biomedical and health informatics Jul 17, 2018
Analyzing patients' health data using machine learning techniques can improve both patient outcomes and hospital operations. However, heterogeneous patient data (e.g., vital signs) and inefficient feature learning methods affect the implementation of...
Signal Processing, Computer-Assisted Medical Informatics Algorithms Electronic Health Records Electroencephalography Humans Machine Learning
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Organization of Neural Population Code in Mouse Visual System.

eNeuro Jul 17, 2018
The mammalian visual system consists of several anatomically distinct areas, layers, and cell types. To understand the role of these subpopulations in visual information processing, we analyzed neural signals recorded from excitatory neurons from var...
Support Vector Machine Signal Processing, Computer-Assisted Neurons Visual Cortex Mice, Transgenic Visual Perception Animals Mice
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Robust Heartbeat Detection From Multimodal Data via CNN-Based Generalizable Information Fusion.

IEEE transactions on bio-medical engineering Jul 11, 2018
OBJECTIVE: Heartbeat detection remains central to cardiac disease diagnosis and management, and is traditionally performed based on electrocardiogram (ECG). To improve robustness and accuracy of detection, especially, in certain critical-care scenari...
Blood Pressure Heart Rate Signal Processing, Computer-Assisted Neural Networks, Computer Arrhythmias, Cardiac Algorithms Databases, Factual Humans Electrocardiography
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Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification.

PloS one Jun 29, 2018
This paper addresses a chaos kernel function for the relevance vector machine (RVM) in EEG signal classification, which is an important component of Brain-Computer Interface (BCI). The novel kernel function has evolved from a chaotic system, which is...
Signal Processing, Computer-Assisted Humans Models, Theoretical Female Support Vector Machine Male Electroencephalography
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Real-time apnea-hypopnea event detection during sleep by convolutional neural networks.

Computers in biology and medicine Jun 28, 2018
Sleep apnea-hypopnea event detection has been widely studied using various biosignals and algorithms. However, most minute-by-minute analysis techniques have difficulty detecting accurate event start/end positions. Furthermore, they require hand-engi...
Sleep Respiratory Rate Polysomnography Humans Middle Aged Adult Female Neural Networks, Computer Signal Processing, Computer-Assisted Aged Male Sleep Apnea Syndromes
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Modeling of dielectric elastomer oscillators for soft biomimetic applications.

Bioinspiration & biomimetics Jun 26, 2018
Biomimetic, entirely soft robots with animal-like behavior and integrated artificial nervous systems will open up totally new perspectives and applications. However, until now, most presented studies on soft robots were limited to only partly soft de...
Biomimetic Materials Bionics Electronics Biomimetics Elastomers Computer Simulation Biomechanical Phenomena Robotics Animals Equipment Design Signal Processing, Computer-Assisted Models, Theoretical Models, Biological
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