AIMC Topic: Radio Waves

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Shortwave infrared otoscopy for diagnosis of middle ear effusions: a machine-learning-based approach.

Scientific reports Jun 15, 2021
Otitis media, a common disease marked by the presence of fluid within the middle ear space, imparts a significant global health and economic burden. Identifying an effusion through the tympanic membrane is critical to diagnostic success but remains c...
Humans Machine Learning Ear, Middle Otoscopy Radio Waves Algorithms Otitis Media with Effusion Otitis Media
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Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning.

Scientific reports May 20, 2021
Wideband Absorbance Immittance (WAI) has been available for more than a decade, however its clinical use still faces the challenges of limited understanding and poor interpretation of WAI results. This study aimed to develop Machine Learning (ML) too...
Machine Learning Aged Young Adult Humans Neural Networks, Computer Adolescent Child, Preschool Child Adult Middle Aged Infant Otitis Media with Effusion Ear Radio Waves Acoustic Impedance Tests ROC Curve Databases as Topic Image Processing, Computer-Assisted Pressure Statistics as Topic
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Deep learning: step forward to high-resolution in vivo shortwave infrared imaging.

Journal of biophotonics May 12, 2021
Shortwave infrared window (SWIR: 1000-1700 nm) represents a major improvement compared to the NIR-I region (700-900 nm) in terms of temporal and spatial resolutions in depths down to 4 mm. SWIR is a fast and cheap alternative to more precise methods ...
Radio Waves Deep Learning Neural Networks, Computer Infrared Rays Animals
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Classification of red blood cell aggregation using empirical wavelet transform analysis of ultrasonic radiofrequency echo signals.

Ultrasonics Mar 6, 2021
Grading red blood cell (RBC) aggregation is important for the early diagnosis and prevention of related diseases such as ischemic cardio-cerebrovascular disease, type II diabetes, deep vein thrombosis, and sickle cell disease. In this study, a machin...
Support Vector Machine Ultrasonics Wavelet Analysis Radio Waves Erythrocyte Aggregation Machine Learning Animals Swine
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Deep learning framework for subject-independent emotion detection using wireless signals.

PloS one Feb 3, 2021
Emotion states recognition using wireless signals is an emerging area of research that has an impact on neuroscientific studies of human behaviour and well-being monitoring. Currently, standoff emotion detection is mostly reliant on the analysis of f...
Wireless Technology Radio Waves Adult Deep Learning Electrocardiography Emotions Heart Rate Respiration Humans Neural Networks, Computer Young Adult
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A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 24, 2020
It is necessary to monitor the mechanical properties of arteries which directly related to cardiovascular diseases (CVDs) in the early stages. In this study, we proposed a new method based on deep learning (DL) to track the displacement of the vessel...
Ultrasonography Arteries Radio Waves Computer Simulation Deep Learning
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Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation.

Magnetic resonance in medicine Nov 23, 2020
PURPOSE: The purpose of this study is to demonstrate a method for specific absorption rate (SAR) reduction for 2D T -FLAIR MRI sequences at 7 T by predicting the required adiabatic radiofrequency (RF) pulse power and scaling the RF amplitude in a sli...
Radionuclide Imaging Radio Waves Deep Learning Humans Magnetic Resonance Imaging Brain Heart Rate
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Multi-task convolutional neural network-based design of radio frequency pulse and the accompanying gradients for magnetic resonance imaging.

NMR in biomedicine Nov 16, 2020
Modern MRI systems usually load the predesigned RFs and the accompanying gradients during clinical scans, with minimal adaption to the specific requirements of each scan. Here, we describe a neural network-based method for real-time design of excitat...
Neural Networks, Computer Magnetic Resonance Imaging Equipment Design Datasets as Topic Phantoms, Imaging Radio Waves
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Application of Artificial Neural Networks for Accurate Determination of the Complex Permittivity of Biological Tissue.

Sensors (Basel, Switzerland) Aug 18, 2020
Medical devices making use of radio frequency (RF) and microwave (MW) fields have been studied as alternatives to existing diagnostic and therapeutic modalities since they offer several advantages. However, the lack of accurate knowledge of the compl...
Biosensing Techniques Calibration Microwaves Animals Swine Neural Networks, Computer Radio Waves
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Human Occupancy Detection via Passive Cognitive Radio.

Sensors (Basel, Switzerland) Jul 30, 2020
Human occupancy detection (HOD) in an enclosed space, such as indoors or inside of a vehicle, via passive cognitive radio (CR) is a new and challenging research area. Part of the difficulty arises from the fact that a human subject cannot easily be d...
Support Vector Machine Algorithms Radio Waves Humans Motor Vehicles Logistic Models Non-Medical Public and Private Facilities Machine Learning Cognition
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