AI Medical Compendium Journal:
Advances in experimental medicine and biology

Showing 91 to 100 of 105 articles

Discrimination of Complex Activation Patterns in Near Infrared Optical Tomography with Artificial Neural Networks.

Advances in experimental medicine and biology
Near-infrared optical tomography (NIROT) has great promise for many clinical problems. Here we focus on the study of brain function. During NIROT image reconstruction of brain activity, an inverse problem has to be solved that is sensitive to small s...

Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Advances in experimental medicine and biology
Medicine will experience many changes in the coming years because the so-called "medicine of the future" will be increasingly proactive, featuring four basic elements: predictive, personalized, preventive, and participatory. Drivers for these changes...

Stroke Rehabilitation: Therapy Robots and Assistive Devices.

Advances in experimental medicine and biology
Motor impairments after stroke are often persistent and disabling, and women are less likely to recover and show poorer functional outcomes. To regain motor function after stroke, rehabilitation robots are increasingly integrated into clinics. The de...

Robot-Assisted Body-Weight-Supported Treadmill Training in Gait Impairment in Multiple Sclerosis Patients: A Pilot Study.

Advances in experimental medicine and biology
This study deals with the use of a robot-assisted body-weight-supported treadmill training in multiple sclerosis (MS) patients with gait dysfunction. Twenty MS patients (10 men and 10 women) of the mean of 46.3 ± 8.5 years were assigned to a six-week...

Development of New Diagnostic Techniques - Machine Learning.

Advances in experimental medicine and biology
Traditional diagnoses on addiction reply on the patients' self-reports, which are easy to be dampened by false memory or malingering. Machine learning (ML) is a data-driven procedure that learns algorithms from training data and makes predictions. It...

Recognizing Emotional States Using Speech Information.

Advances in experimental medicine and biology
Emotion recognition plays an important role in several applications, such as human computer interaction and understanding affective state of users in certain tasks, e.g., within a learning process, monitoring of elderly, interactive entertainment etc...

An Approach of Non-Linear Systems Through Fuzzy Control Based on Takagi-Sugeno Method.

Advances in experimental medicine and biology
Today, the advanced technology is a part of the everyday's life. As a result, most of the applications used require a more complex system in order to achieve a better performance. These systems have a mathematic background indicating the need of a be...

Neuroplasticity-Based Technologies and Interventions for Restoring Motor Functions in Multiple Sclerosis.

Advances in experimental medicine and biology
Motor impairments are very common in multiple sclerosis (MS), leading to a reduced Quality of Life and active participation. In the past decades, new insights into the functional reorganization processes that occur after a brain injury have been intr...

A Computational Index to Describe Slacking During Robot Therapy.

Advances in experimental medicine and biology
Movement facilitation has a fundamental role in the rehabilitation treatment of stroke survivors. However, its action mechanisms are still poorly understood. An open question is to identify the effect of the level of assistance on the recovery proces...

Schwann Cell and Axon: An Interlaced Unit-From Action Potential to Phenotype Expression.

Advances in experimental medicine and biology
Here we propose a model of a peripheral axon with a great deal of autonomy from its cell body-the autonomous axon-but with a substantial dependence on its ensheathing Schwann cell (SC), the axon-SC unit. We review evidence in several fields and show ...