Soft ankle exoskeleton to counteract dropfoot and excessive inversion.

Introduction: Wearable exoskeletons are emerging technologies for providing movement assistance and rehabilitation for people with motor disorders. In this study, we focus on the specific gait pathology dropfoot, which is common after a stroke. Dropfoot makes it difficult to achieve foot clearance during swing and heel contact at early stance and often necessitates compensatory movements.

An Integrated Eye-Tracking and Motion Capture System in Synchronized Gaze and Movement Analysis.

Integrating mobile eye-tracking and motion capture emerges as a promising approach in studying visual-motor coordination, due to its capability of expressing gaze data within the same laboratory-centered coordinate system as body movement data. In this paper, we proposed an integrated eye-tracking and motion capture system, which can record and analyze temporally and spatially synchronized gaze and motion data during dynamic movement. The accuracy of gaze measurement were evaluated on five participants while they were instructed to view fixed vision targets at different distances while standing still or walking towards the targets.

A Method of Detecting Human Movement Intentions in Real Environments.

Accurate and timely movement intention detection can facilitate exoskeleton control during transitions between different locomotion modes. Detecting movement intentions in real environments remains a challenge due to unavoidable environmental uncertainties. False movement intention detection may also induce risks of falling and general danger for exoskeleton users.

Joint Kinematics, Kinetics and Muscle Synergy Patterns During Transitions Between Locomotion Modes.

There is an increasing demand for accurately predicting human movement intentions. To be effective, predictions must be performed as early as possible in the preceding step, though precisely how early has been studied relatively little; how and when a person's movement patterns in a transition step deviate from those in the preceding step must be clearly defined. In this study, we collected motion kinematics, kinetics and electromyography data from 9 able-bodied participants during 7 locomotion modes.

Locomotion Mode Transition Prediction Based on Gait-Event Identification Using Wearable Sensors and Multilayer Perceptrons.

People walk on different types of terrain daily; for instance, level-ground walking, ramp and stair ascent and descent, and stepping over obstacles are common activities in daily life. Movement patterns change as people move from one terrain to another. The prediction of transitions between locomotion modes is important for developing assistive devices, such as exoskeletons, as the optimal assistive strategies may differ for different locomotion modes.

Is there a relationship between psoriasis and hepatitis C? A meta-analysis and bioinformatics investigation.

Background: The relationship between psoriasis and hepatitis C was previously controversial, so our purpose is to investigate this connection.

Methods: We conducted a systematic review of the case-control, cross-sectional and cohort studies examining the association between psoriasis and hepatitis C in PubMed, EMBASE and Cochrane library databases and investigated the overlapping genes between psoriasis targets and hepatitis C targets using bioinformatics analysis. Based on overlapping genes and hub nodes, we also constructed the protein-protein interaction (PPI) network and module respectively, followed by the pathway enrichment analysis.

A Muscle Synergy-Inspired Method of Detecting Human Movement Intentions Based on Wearable Sensor Fusion.

Detecting human movement intentions is fundamental to neural control of robotic exoskeletons, as it is essential for achieving seamless transitions between different locomotion modes. In this study, we enhanced a muscle synergy-inspired method of locomotion mode identification by fusing the electromyography data with two types of data from wearable sensors (inertial measurement units), namely linear acceleration and angular velocity. From the finite state machine perspective, the enhanced method was used to systematically identify 2 static modes, 7 dynamic modes, and 27 transitions among them.

[Spirometra mansoni infection in an infant: one case report].

This paper reports the diagnosis and therapy of one case of Spirometra mansoni infection in an infant.

[Event-related potentials of relational memory in target and delay phases of working memory].

Objective: To compare the spatiotemporal pattern of event-related potentials (ERPs) of relational memory retention between color-location binding and semantics-location binding.

Methods: The ERPs of 19 channels were recorded from 14 healthy subjects while performing the two binding delayed-match-to-sample tasks. A paired-sample t test was used for analysis of both the behavioral performance and ERPs, and statistical parametric mapping (SPM) of the t values was applied to ERPs.

[Nestin activation after rat cerebral ischemia-reperfusion injury and its changes in response to Tongxinluo treatment].

Objective: To investigate nestin activation in rat brain subjected to ischemia-reperfusion injury and its changes in response to Tongxinluo treatment.

Methods: Cerebral ischemia was induced by temporary middle cerebral artery occlusion (MCAO) in rats. At 3, 7, 14 and 21 days after MCAO, nestin expression in the ependyma, subventricular zone (SVZ), hippocampal subdentate gyrus zone (HDG) of the rats treated with Tongxinluo were guantified by immunohistochemistry.

[Clinical analysis of 73 cases of hypoglycemia with brain dysfunctions].

Objective: To identify the clinical features and pathogenesis of hypoglycemia with brain dysfunctions as the main manifestations.

Method: A retrospective analysis of 73 cases with brain dysfunctions caused by hypoglycemia was performed.

Result: Hypoglycemic brain dysfunctions were mainly caused by poor control of the dosage of hypoglycemic agents in diabetic patients, and the major clinical manifestations included coma, hemiparalysis, epilepsy and mental disorders.