Publications by authors named "Miguel Hernando"

Objectives: To evaluate the impact of resistance exercise on the risk of falls, fear of falling, muscle strength, neuropsychiatric symptoms and ability to perform activities of daily living in people with Alzheimer's disease (AD).

Design: Single-blinded randomised controlled trial.

Setting: Five aged care centres specialising in AD, located in Andalucía, Spain.

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Autonomous robots are already present in a variety of domains performing complex tasks. Their deployment in open-ended environments offers endless possibilities. However, there are still risks due to unresolved issues in dependability and trust.

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Robotic control is a fundamental part of autonomous robots. Modular legged and climbing robots are complex machines made up of a variety of subsystems, ranging from a single robot with simple legs to a complex system composed of multiple legs (or modules) with computing power and sensitivity. Their complexity, which is increased by the fact of needing elements for climbing, makes a correct structure crucial to achieve a complete, robust, and versatile system during its operation.

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Background And Objective: the use of 3D cameras for gait analysis has been highly questioned due to the low accuracy they have demonstrated in the past. The objective of the study presented in this paper is to improve the accuracy of the estimations made by robot-mounted 3D cameras in human gait analysis by applying a supervised learning stage.

Methods: the 3D camera was mounted in a mobile robot to obtain a longer walking distance.

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Article Synopsis
  • Traditional sensing technologies struggle in challenging environments like mines due to factors like dust, darkness, and poor communication.
  • This study presents a new whisker-sensing disk inspired by naked mole rats, featuring 32 flexible sensors that allow for effective 3D mapping.
  • The disk's design and performance are validated through experiments, showing its versatility across various robotic platforms for mapping in complex subterranean scenarios.
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Article Synopsis
  • The study aimed to explore the connection between sleep issues and the frequency of falls in Alzheimer's patients, focusing on a sample of 114 institutionalized Spanish individuals with Alzheimer's disease.
  • Results indicated that sleep disturbances are linked to higher stress levels and increased fall rates, with factors such as continuous medical visits and family dementia history also contributing to the risk of falls.
  • The findings suggest a two-way relationship between falls and sleep problems, while also identifying daily drug intake and a higher incidence of falls as potential new risk factors for Alzheimer's disease.
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In recent years, the development of mining robots has grown significantly, offering improved efficiency and safety in hazardous environments. However, there is still room for improvement in adaptability, scalability, and overall performance. The ROBOMINERS project, funded by the European Union's Horizon 2020 Research and Innovation Program, aims to facilitate Europe's access to mineral resources applying disruptive robotic concepts.

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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 evaluating gait patterns within short walking distances. However, assessment of gait consistency requires testing over a longer walking distance.

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MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture) is a software framework for climbing bio-inspired robotic organisms composed of modular robots (legs). It is presented as a modular low-level architecture that coordinates the modules of an organism with any morphology, at the same time allowing exchanges between the physical robot and its digital twin. It includes the basic layers to control and coordinate all the elements, while allowing adding new higher-level components to improve the organism's behavior.

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Article Synopsis
  • A systematic review analyzed randomized controlled trials to assess the impact of physical exercise on various outcomes for older adults with Alzheimer’s disease, including physical-functional capacity, cognitive performance, neuropsychiatric symptoms, and quality of life.
  • The review included 8 studies with 562 participants, focusing on the effectiveness of different types of physical exercise interventions, such as aerobic and strength training, typically conducted 2 to 7 times per week over a duration of 9 weeks to 6 months.
  • Results indicated improvements in physical and cognitive abilities for the majority of studies, while neuropsychiatric symptoms and quality of life also saw benefits in the few studies that measured these outcomes.*
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Mobile robotic platforms have made inroads in the rehabilitation area as gait assistance devices. They have rarely been used for human gait monitoring and analysis. The integration of mobile robots in this field offers the potential to develop multiple medical applications and achieve new discoveries.

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This paper presents a new architecture that integrates Internet of Things (IoT) devices, service robots, and users in a smart assistive environment. A new intuitive and multimodal interaction system supporting people with disabilities and bedbound patients is presented. This interaction system allows the user to control service robots and devices inside the room in five different ways: touch control, eye control, gesture control, voice control, and augmented reality control.

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Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper, a CFD (computer fluid dynamics) modelling and optimization process of a robot adhesion system is carried out to determine the best performing configuration in terms of vacuum and power consumption.

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Several studies have examined the accuracy of the Kinect V2 sensor during gait analysis. Usually the data retrieved by the Kinect V2 sensor are compared with the ground truth of certified systems using a Euclidean comparison. Due to the Kinect V2 sensor latency, the application of a uniform temporal alignment is not adequate to compare the signals.

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Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall detectors are typically based on wearable devices, and the elderly often forget to wear them. In addition, fall detectors based on artificial vision are not yet available on the market.

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Article Synopsis
  • The study examines two models for adjusting the autonomy of mobile robots to optimize operator interaction and manage multiple robots effectively.
  • It explores flexible adjustable autonomy as a solution to the high workload associated with traditional adjustable autonomy, proposing it as a way to reduce operator burden.
  • Results show that a flexible model outperforms the classic model, allowing a single operator to manage a team of robots more efficiently while improving overall performance.
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