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 "GAIT in humans"
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Bolstering Cognitive and Locomotor Function in Post-Stroke Dementia Using Human–Robotic Interactive Gait Training.

Publication Type: Academic Journal

Source(s): Journal of Clinical Medicine. Sep2023, Vol. 12 Issue 17, p5661. 12p.

Abstract: Studies have reported inconclusive results regarding the effectiveness and clinical indications of the exclusive use of human–robotic interactive gait training (HIT) in patients with post-stroke dementia (PSD). This study aimed to compare the effects o...

A Comparison of Walking Behavior during the Instrumented TUG and Habitual Gait.

Publication Type: Academic Journal

Source(s): Sensors (14248220). Aug2023, Vol. 23 Issue 16, p7261. 15p.

Abstract: The timed up and go test (TUG) is a common clinical functional balance test often used to complement findings on sensorimotor changes due to aging or sensory/motor dysfunction. The instrumented TUG can be used to obtain objective postural and gait meas...

Does Accelerometry at the Centre of Mass Accurately Predict the Gait Energy Expenditure in Patients with Hemiparesis?

Publication Type: Academic Journal

Source(s): Sensors (14248220). Aug2023, Vol. 23 Issue 16, p7177. 9p.

Abstract: Background: The aim of this study was to compare energy expenditure (EE) predicted by accelerometery (EEAcc) with indirect calorimetry (EEMETA) in individuals with hemiparesis. Methods: Twenty-four participants (12 with stroke and 12 healthy controls) ...

Gait Stride Length Estimation Using Embedded Machine Learning.

Publication Type: Academic Journal

Source(s): Sensors (14248220). Aug2023, Vol. 23 Issue 16, p7166. 13p.

Abstract: Introduction. Spatiotemporal gait parameters, e.g., gait stride length, are measurements that are classically derived from instrumented gait analysis. Today, different solutions are available for gait assessment outside the laboratory, specifically for...

FRONTAL GAIT RECOGNITION BASED ON DEEP LEARNING APPROACH.

Publication Type: Academic Journal

Source(s): Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering. Aug2023, Vol. 21 Issue 3, p27-32. 6p.

Abstract: In this paper, a deep learning based approach for frontal gait recognition was investigated and presented. In today’s world, gait recognition is an interesting way for person identification. Person identification is required in various fields of human ...

Individualized Vibrotactile Neurofeedback Training in Patients with Chronic Bilateral Vestibulopathy.

Publication Type: Academic Journal

Source(s): Brain Sciences (2076-3425). Aug2023, Vol. 13 Issue 8, p1219. 10p.

Abstract: Patients with bilateral vestibulopathy (BVP) suffer from postural imbalance during daily life conditions, which in turn leads to a high frequency of falls. Unfortunately, vestibular rehabilitation has only modest and somewhat inconsistent effects in th...

Performance of a Mobile 3D Camera to Evaluate Simulated Pathological Gait in Practical Scenarios.

Publication Type: Academic Journal

Source(s): Sensors (14248220). Aug2023, Vol. 23 Issue 15, p6944. 11p.

Abstract: Three-dimensional (3D) cameras used for gait assessment obviate the need for bodily markers or sensors, making them particularly interesting for clinical applications. Due to their limited field of view, their application has predominantly focused on e...

Feature Fusion Based Deep Transfer Learning Based Human Gait Classification Model.

Publication Type: Academic Journal

Source(s): Intelligent Automation & Soft Computing. 2023, Vol. 37 Issue 2, p1453-1468. 16p.

Abstract: Gait is a biological typical that defines the method by that people walk. Walking is the most significant performance which keeps our dayto- day life and physical condition. Surface electromyography (sEMG) is a weak bioelectric signal that portrays the...

Automated Gait Analysis Based on a Marker-Free Pose Estimation Model.

Publication Type: Academic Journal

Source(s): Sensors (14248220). Jul2023, Vol. 23 Issue 14, p6489. 19p.

Abstract: Gait analysis is an essential tool for detecting biomechanical irregularities, designing personalized rehabilitation plans, and enhancing athletic performance. Currently, gait assessment depends on either visual observation, which lacks consistency bet...

Visual Gait Analysis Based on UE4.

Publication Type: Academic Journal

Source(s): Sensors (14248220). Jun2023, Vol. 23 Issue 12, p5463. 12p.

Abstract: With the development of artificial intelligence technology, virtual reality technology has been widely used in the medical and entertainment fields, as well as other fields. This study is supported by the 3D modeling platform in UE4 platform technology...

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