AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 1111 to 1118 of 1118 articles

Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.

IEEE journal of biomedical and health informatics Jan 1, 2018
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervent...
Wearable Electronic Devices Smartphone United States Nutrition Assessment Diet Adolescent Pattern Recognition, Automated Nutrition Policy United States Department of Agriculture Natural Language Processing Eating Telemedicine Humans Software Algorithms Young Adult Adult
View on PubMed DOI

Variation of the Korotkoff Stethoscope Sounds During Blood Pressure Measurement: Analysis Using a Convolutional Neural Network.

IEEE journal of biomedical and health informatics Nov 1, 2017
Korotkoff sounds are known to change their characteristics during blood pressure (BP) measurement, resulting in some uncertainties for systolic and diastolic pressure (SBP and DBP) determinations. The aim of this study was to assess the variation of ...
Aged Young Adult Adult Humans Neural Networks, Computer Female Auscultation Blood Pressure Signal Processing, Computer-Assisted Stethoscopes Male Middle Aged Blood Pressure Determination
View on PubMed DOI

Salivary Markers for Quantitative Dehydration Estimation During Physical Exercise.

IEEE journal of biomedical and health informatics Sep 1, 2017
Salivary markers have been proposed as noninvasive and easy-to-collect indicators of dehydrations during physical exercise. It has been demonstrated that threshold-based classifications can distinguish dehydrated from euhydrated subjects. However, co...
Medical Informatics Amylases Chlorides Saliva Body Water Dehydration Machine Learning Biomarkers Young Adult Adult Male Exercise Humans
View on PubMed DOI

Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features.

IEEE journal of biomedical and health informatics Nov 1, 2015
Quantitative gait assessment is important in diagnosis and management of Parkinson's disease (PD); however, gait characteristics of a cohort are dispersed by patient physical properties including age, height, body mass, and gender, as well as walking...
Gait Video Recording Regression Analysis Walking Aged, 80 and over Machine Learning Male Spatio-Temporal Analysis Female Middle Aged Image Processing, Computer-Assisted Aged Humans Parkinson Disease
View on PubMed DOI

Machine Learning and Data Mining in Medical Imaging.

IEEE journal of biomedical and health informatics Sep 1, 2015
Machine Learning Diagnostic Imaging Data Mining Humans
View on PubMed DOI

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.

IEEE journal of biomedical and health informatics Sep 1, 2015
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for normal aging and disease progression. In this paper, we propose a patch-based tissue classification method from MR images that...
Young Adult Adult Male Brain Multiple Sclerosis Humans Middle Aged Female Hydrocephalus, Normal Pressure Machine Learning Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms
View on PubMed DOI

Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning.

IEEE journal of biomedical and health informatics May 1, 2015
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing ...
Blood Glucose Humans Diabetes Mellitus Insulin Machine Learning Hypoglycemia Decision Support Systems, Clinical Algorithms Computer Simulation
View on PubMed DOI

Multiple hypotheses image segmentation and classification with application to dietary assessment.

IEEE journal of biomedical and health informatics Jan 1, 2015
We propose a method for dietary assessment to automatically identify and locate food in a variety of images captured during controlled and natural eating events. Two concepts are combined to achieve this: a set of segmented objects can be partitioned...
Image Interpretation, Computer-Assisted Photography Sensitivity and Specificity Artificial Intelligence Pattern Recognition, Automated Diet Records Mobile Applications Food Reproducibility of Results Food Analysis
View on PubMed DOI
Popular Topics
Popular Journals