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| http://dx.doi.org/10.1213/ANE.0000000000004940 | DOI Listing |
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Cross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study.
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Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.
View Article and Find Full Text PDFEffects of Remote Exercise on Physical Function in Pre-Frail Older Adults: A Randomized Controlled Trial.
Med Sci Monit
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Department of Physical Therapy, Kyungdong University, Gangwon, South Korea.
BACKGROUND Remote exercise have emerged as a promising solution to overcome barriers to physical activity participation in pre-frail older adults, such as limited mobility and accessibility issues. Pre-frail older adults often face barriers to physical activity due to limited mobility and accessibility, underscoring the need for remote exercise alternatives. This study aimed to evaluate and compare the efficacy of remote versus in-person exercise in improving physical function in pre-frail older adults.
View Article and Find Full Text PDFCloud/VPN-Based Remote Control of a Modular Production System Assisted by a Mobile Cyber-Physical Robotic System-Digital Twin Approach.
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Department of Automation, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.
This paper deals with a "digital twin" (DT) approach for processing, reprocessing, and scrapping (P/R/S) technology running on a modular production system (MPS) assisted by a mobile cyber-physical robotic system (MCPRS). The main hardware architecture consists of four line-shaped workstations (WSs), a wheeled mobile robot (WMR) equipped with a robotic manipulator (RM) and a mobile visual servoing system (MVSS) mounted on the end effector. The system architecture integrates a hierarchical control system where each of the four WSs, in the MPS, is controlled by a Programable Logic Controller (PLC), all connected via Profibus DP to a central PLC.
View Article and Find Full Text PDFA Review of CNN Applications in Smart Agriculture Using Multimodal Data.
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Institut de Recherche en Informatique de Toulouse, IRIT UMR5505 CNRS, 31400 Toulouse, France.
This review explores the applications of Convolutional Neural Networks (CNNs) in smart agriculture, highlighting recent advancements across various applications including weed detection, disease detection, crop classification, water management, and yield prediction. Based on a comprehensive analysis of more than 115 recent studies, coupled with a bibliometric study of the broader literature, this paper contextualizes the use of CNNs within Agriculture 5.0, where technological integration optimizes agricultural efficiency.
View Article and Find Full Text PDFSleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.
Sensors (Basel)
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Department of Information Engineering, University of Padova, 35122 Padova, Italy.
Sleep posture is a key factor in assessing sleep quality, especially for individuals with Obstructive Sleep Apnea (OSA), where the sleeping position directly affects breathing patterns: the side position alleviates symptoms, while the supine position exacerbates them. Accurate detection of sleep posture is essential in assessing and improving sleep quality. Automatic sleep posture detection systems, both wearable and non-wearable, have been developed to assess sleep quality.
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