AIMC Topic: Healthy Volunteers

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Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models.

Journal of applied physiology (Bethesda, Md. : 1985)
Physical activity levels are related through algorithms to the energetic demand, with no information regarding the integrity of the multiple physiological systems involved in the energetic supply. Longitudinal analysis of the oxygen uptake (V̇o) by w...

Toward Multimodal Human-Robot Interaction to Enhance Active Participation of Users in Gait Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Robotic exoskeletons for physical rehabilitation have been utilized for retraining patients suffering from paraplegia and enhancing motor recovery in recent years. However, users are not voluntarily involved in most systems. This paper aims to develo...

Physical human-robot interaction of an active pelvis orthosis: toward ergonomic assessment of wearable robots.

Journal of neuroengineering and rehabilitation
BACKGROUND: In human-centered robotics, exoskeletons are becoming relevant for addressing needs in the healthcare and industrial domains. Owing to their close interaction with the user, the safety and ergonomics of these systems are critical design f...

Subject-based discriminative sparse representation model for detection of concealed information.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: The use of machine learning approaches in concealed information test (CIT) plays a key role in the progress of this neurophysiological field. In this paper, we presented a new machine learning method for CIT in which each s...

The Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis.

Brain connectivity
When the brain is not engaged in goal-directed activities and at rest, there are still measureable patterns of activity. One resting-state network, the default mode network (DMN) is responsible for a self-referential introspective state. There are ma...

Quantification of the 3α and 3β epimers of 25-hydroxyvitamin D in dried blood spots by LC-MS/MS using artificial whole blood calibration and chemical derivatization.

Talanta
While the biological function of the 3α epimer of 25-hydroxyvitamin D (25(OH)D) remains unknown, its presence needs to be accurately captured and separated from the main 3β epimer, to avoid positive bias in vitamin D status analyses. Several recent L...

Cytokine Changes following Acute Ethanol Intoxication in Healthy Men: A Crossover Study.

Mediators of inflammation
Alcohol is a known modulator of the innate immune system. Owing to the absence of human studies, alcohol's effect on circulating cytokine profile remains unclear. We investigated the effect of acute high dose alcohol consumption on systemic cytokine ...

Effects of the Red Bull energy drink on cognitive function and mood in healthy young volunteers.

Journal of psychopharmacology (Oxford, England)
The present study compared the cognitive and mood effects of two commercially available products, Red Bull energy drink 250 mL and Red Bull Sugarfree energy drink 250 mL, together with a matching placebo 250 mL. Twenty-four healthy young volunteers t...

Moderate, Short-Term, Local Hyperglycemia Attenuates Forearm Endothelium-Dependent Vasodilation After Transient Ischemia-Reperfusion in Human Volunteers.

Journal of cardiothoracic and vascular anesthesia
OBJECTIVE: Acute hyperglycemia causes endothelial dysfunction in diabetic patients, abolishes ischemic pre- and postconditioning, and is an independent predictor of adverse outcome after myocardial infarction in nondiabetic patients. Its effects on e...

The immediate effects of robot-assistance on energy consumption and cardiorespiratory load during walking compared to walking without robot-assistance: a systematic review.

Disability and rehabilitation. Assistive technology
PURPOSE: The integration of sufficient cardiovascular stress into robot-assisted gait (RAG) training could combine the benefits of both RAG and aerobic training. The aim was to summarize literature data on the immediate effects of RAG compared to wal...