Previous research has suggested that Parkinson's disease (PD) impairs motion perception. First-order motion consists of moving luminance-defined attributes. Second-order motion, on the other hand, consists of moving patterns whose motion attributes are not luminance-defined. The detection of first and second-order motion is thought to be mediated by different mechanisms. Here, we compare the ability of Parkinson's disease patients (PDPs) to detect first-order/second-order motion with normal subjects. Subjects had to discriminate the drift direction of first-order motion (luminance-modulated noise) and a second-order motion pattern (named as noise base motion) over a range of stimulus speeds and strengths. Results show that the first-order motion detection deficits could only be seen with lower motion strengths suggesting a ceiling effect with higher motion strengths. However, second order motion detection deficits were seen across high and low motion strengths, suggesting that the second order motion detection may be more affected in PD than the first-order motion detection. Our results indicate that higher-level visual cortex plays an important role in PD patients' disabilities in motion perception.
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http://dx.doi.org/10.1016/j.brainres.2010.01.022 | DOI Listing |
Sci Rep
January 2025
Department of Electrical and Electronics, Faculty of Engineering, Alberoni University, Kapisa, Afghanistan.
This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA's reference voltage output.
View Article and Find Full Text PDFJ Biomech
January 2025
Instituto Brasil de Tecnologias da Saúde, Rua Visconde de Piraja, 407 suite 905, Rio de Janeiro, RJ 22410-003, Brazil; Depto. de Diagnóstico por Imagem - Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Napoleão de Barros, 800, São Paulo, SP, Brazil. Electronic address:
Anterior Shoulder Instability (ASI) is a common orthopedic condition often resulting in altered shoulder kinematics. Understanding the biomechanics of the unstable shoulder is critical to determine the most appropriate treatment. This study aims to conduct the first systematic review and meta-analysis of three-dimensional (3D) shoulder kinematic studies in ASI patients.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Department of Mechanical Engineering, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
Smart textiles provide a significant technological advancement, but their development must balance traditional textile properties with electronic features. To address this challenge, this study introduces a flexible, electrically conductive composite material that can be fabricated using a continuous bi-component extrusion process, making it ideal for sensor electrodes. The primary aim was to create a composite for the filament's core, combining multi-walled carbon nanotubes (MWCNTs), polypropylene (PP), and thermoplastic elastomer (TPE), optimised for conductivity and flexibility.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Beijing Aerospace Automatic Control Institute, Beijing 100854, China.
The traditional method is capable of detecting and tracking stationary and slow-moving targets in a sea surface environment. However, the signal focusing capability of such a method could be greatly reduced especially for those variable-speed targets. To solve this problem, a novel tracking algorithm combining range envelope alignment and azimuth phase filtering is proposed.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Faculty of Science and Engineering, Saga University, Saga 840-8502, Japan.
Infrared array sensor-based fall detection and activity recognition systems have gained momentum as promising solutions for enhancing healthcare monitoring and safety in various environments. Unlike camera-based systems, which can be privacy-intrusive, IR array sensors offer a non-invasive, reliable approach for fall detection and activity recognition while preserving privacy. This work proposes a novel method to distinguish between normal motion and fall incidents by analyzing thermal patterns captured by infrared array sensors.
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