AIMC Topic: Young Adult
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Methodology and validation for identifying gait type using machine learning on IMU data.
Journal of medical engineering & technology
Apr 30, 2019
With the rising popularity of activity tracking, there is a desire to not only count the number of steps a person takes, but also identify the type of step (e.g., walking or running) they are taking. For rehabilitation and athletic training, this dif...
A novel deep learning based automatic auscultatory method to measure blood pressure.
International journal of medical informatics
Apr 29, 2019
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.
Spectral and Temporal Feature Learning With Two-Stream Neural Networks for Mental Workload Assessment.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 26, 2019
People's mental workload profoundly affects their work efficiency and health. Mental workload assessment can be used to effectively avoid serious accidents caused by excessive mental workload. Both electroencephalogram (EEG) spectral features and its...
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.
Journal of medical Internet research
Apr 26, 2019
BACKGROUND: Investigations into person-specific predictors of stress have typically taken either a population-level nomothetic approach or an individualized ideographic approach. Nomothetic approaches can quickly identify predictors but can be hinder...
Regression Algorithm of Bone Age Estimation of Knee-joint Based on Principal Component Analysis and Support Vector Machine.
Fa yi xue za zhi
Apr 25, 2019
Objective To establish a regression algorithm model that applies to bone age estimation of Xinjiang Uygur adolescents with machine learning methods such as histogram of oriented gradient （HOG）, local binary patterns （LBP）, support vector machine （SVM...
Development of a robotic walker for individuals with cerebral palsy.
Disability and rehabilitation. Assistive technology
Apr 23, 2019
This study describes the first use of a robotic walker in youth and young adults with cerebral palsy (CP) Gross Motor Function Classification (GMFCS) IV. Semi-structured interviews were conducted before and after each robotic walker trial. Interview...
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification.
Scientific reports
Apr 23, 2019
The increased availability of labeled X-ray image archives (e.g. ChestX-ray14 dataset) has triggered a growing interest in deep learning techniques. To provide better insight into the different approaches, and their applications to chest X-ray classi...
Evaluate driver response to active warning system in level-2 automated vehicles.
Accident; analysis and prevention
Apr 18, 2019
As vehicles with automated functions become more prevalent on U.S. roadways, maintaining driver attention while the vehicle is engaged in automation will be an important consideration for safe operation of these vehicles. The objective of this paper ...
Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
Journal of cellular and molecular medicine
Apr 18, 2019
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival outcome and associations with differentially expressed Genes (RNA Sequencing) in groups of glioblastoma multiforme (GBM) patients.
Gene Expression Regulation, Neoplastic
Humans
Magnetic Resonance Imaging
Glioblastoma
Radiographic Image Interpretation, Computer-Assisted
Biomarkers, Tumor
Brain Neoplasms
Gene Expression Profiling
Male
Aged
Transcriptome
Middle Aged
Machine Learning
Aged, 80 and over
Adolescent
Algorithms
Young Adult
ROC Curve
Prognosis
Adult
Genomics
Female
Survival Rate
Monitoring the level of hypnosis using a hierarchical SVM system.
Journal of clinical monitoring and computing
Apr 15, 2019
Monitoring level of hypnosis is a major ongoing challenge for anesthetists to reduce anesthetic drug consumption, avoiding intraoperative awareness and prolonged recovery. This paper proposes a novel automated method for accurate assessing of the lev...
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