AIMC Topic: Female

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Group activity with Paro in nursing homes: systematic investigation of behaviors in participants.

International psychogeriatrics
BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia with the aim to reduce apathy and to increase engagement and social interaction. Investigating behaviors related to these outcomes could produce insig...

Bigdata Oriented Multimedia Mobile Health Applications.

Journal of medical systems
In this paper, two mHealth applications are introduced, which can be employed as the terminals of bigdata based health service to collect information for electronic medical records (EMRs). The first one is a hybrid system for improving the user exper...

Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.

Medical & biological engineering & computing
Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural networ...

Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification.

IEEE journal of biomedical and health informatics
Fetal heart rate (FHR) monitoring is routinely used in clinical practice to help obstetricians assess fetal health status during delivery. However, early detection of fetal acidosis that allows relevant decisions for operative delivery remains a chal...

Trends in Robotic-Assisted Coronary Artery Bypass Grafts: A Study of The Society of Thoracic Surgeons Adult Cardiac Surgery Database, 2006 to 2012.

The Annals of thoracic surgery
BACKGROUND: Robotic technology is one of the most recent technological changes in coronary artery bypass graft (CABG) operations. The current analysis was conducted to identify trends in the use and outcomes of robotic-assisted CABG (RA-CABG).

The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA.

NeuroImage
Resting state functional network connectivity (rsFNC) derived from functional magnetic resonance (fMRI) imaging is emerging as a possible biomarker to identify several brain disorders. Recently it has been pointed out that methods used to preprocess ...

Using machine learning to assess covariate balance in matching studies.

Journal of evaluation in clinical practice
In order to assess the effectiveness of matching approaches in observational studies, investigators typically present summary statistics for each observed pre-intervention covariate, with the objective of showing that matching reduces the difference ...

Texture- and deformability-based surface recognition by tactile image analysis.

Medical & biological engineering & computing
Deformability and texture are two unique object characteristics which are essential for appropriate surface recognition by tactile exploration. Tactile sensation is required to be incorporated in artificial arms for rehabilitative and other human-com...

On the effect of walking surface stiffness on inter-limb coordination in human walking: toward bilaterally informed robotic gait rehabilitation.

Journal of neuroengineering and rehabilitation
BACKGROUND: Robotic devices have been utilized in gait rehabilitation but have only produced moderate results when compared to conventional physiotherapy. Because bipedal walking requires neural coupling and dynamic interactions between the legs, a f...