AIMC Topic: Young Adult
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Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.
Communications biology
Mar 9, 2020
Efficient action control is indispensable for goal-directed behaviour. Different theories have stressed the importance of either attention or response selection sub-processes for action control. Yet, it is unclear to what extent these processes can b...
Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging.
Neurobiology of aging
Mar 6, 2020
Numerous studies have established that estimated brain age constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases. In this work, we curate a large-scale brain MRI data set of healthy individuals, on...
A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods.
Medical & biological engineering & computing
Mar 6, 2020
Sperm morphology, as an indicator of fertility, is a critical tool in semen analysis. In this study, a smartphone-based hybrid system that fully automates the sperm morphological analysis is introduced with the aim of eliminating unwanted human facto...
A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets.
Sensors (Basel, Switzerland)
Mar 6, 2020
Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention during the last years. T...
User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis.
Journal of medical Internet research
Mar 6, 2020
BACKGROUND: Previous research suggests that artificial agents may be a promising source of social support for humans. However, the bulk of this research has been conducted in the context of social support interventions that specifically address stres...
A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb.
Scientific reports
Mar 5, 2020
The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examination is a troublesome problem, which can make the medical staff spend several hours observing whether the CE enters the descending segment of the duodenu...
Foreign Bodies
Automation
Capsule Endoscopy
Stomach
Capsule Endoscopes
Young Adult
Adult
Sensitivity and Specificity
Male
Middle Aged
Adolescent
Monitoring, Intraoperative
Image Processing, Computer-Assisted
Duodenum
Algorithms
Retrospective Studies
Female
Aged
Aged, 80 and over
Humans
Neural Networks, Computer
CHD Risk Minimization through Lifestyle Control: Machine Learning Gateway.
Scientific reports
Mar 5, 2020
Studies on the influence of a modern lifestyle in abetting Coronary Heart Diseases (CHD) have mostly focused on deterrent health factors, like smoking, alcohol intake, cheese consumption and average systolic blood pressure, largely disregarding the i...
Factors that affect younger and older adults' causal attributions of robot behaviour.
Ergonomics
Mar 4, 2020
Stereotypes are cognitive shortcuts that facilitate efficient social judgments about others. Just as causal attributions affect perceptions of people, they may similarly affect perceptions of technology, particularly anthropomorphic technology such a...
SeizureBank: A Repository of Analysis-ready Seizure Signal Data.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Approximately 60 million people worldwide suffer from epileptic seizures. A key challenge in machine learning ap proaches for epilepsy research is the lack of a data resource of analysis-ready (no additional preprocessing is needed when using the dat...
A Residual Based Attention Model for EEG Based Sleep Staging.
IEEE journal of biomedical and health informatics
Mar 3, 2020
Sleep staging is to score the sleep state of a subject into different sleep stages such as Wake and Rapid Eye Movement (REM). It plays an indispensable role in the diagnosis and treatment of sleep disorders. As manual sleep staging through well-train...
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