Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving Centers

Calderita, Luis V.; Vega, Araceli; Barroso-Ramírez, Sergio; Bustos, Pablo; Núñez, Pedro

doi:10.3390/s20144005

Cited by 35 publications

(23 citation statements)

References 32 publications

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“…The use of DTs in medical care is still in its infancy. So far, only in a few areas of medicine, DTs were applied, such as oncology ( 97 – 99 ), geriatrics ( 100 , 101 ), cardiology ( 45 , 102 – 106 ), epidemic outbreaks ( 107 ), genomic medicine ( 48 , 108 ), internal medicine ( 109 , 110 ), orthopedics ( 111 ) and vascular medicine ( 112 , 113 ). For example, Corral-Acero et al.…”

Section: What Are Digital Twins?mentioning

confidence: 99%

Digital Twins for Multiple Sclerosis

et al. 2021

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An individualized innovative disease management is of great importance for people with multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional disease. However, an individual state of the art strategy, with precise adjustment to the patient’s characteristics, is still far from being part of the everyday care of pwMS. The development of digital twins could decisively advance the necessary implementation of an individualized innovative management of MS. Through artificial intelligence-based analysis of several disease parameters – including clinical and para-clinical outcomes, multi-omics, biomarkers, patient-related data, information about the patient’s life circumstances and plans, and medical procedures – a digital twin paired to the patient’s characteristic can be created, enabling healthcare professionals to handle large amounts of patient data. This can contribute to a more personalized and effective care by integrating data from multiple sources in a standardized manner, implementing individualized clinical pathways, supporting physician-patient communication and facilitating a shared decision-making. With a clear display of pre-analyzed patient data on a dashboard, patient participation and individualized clinical decisions as well as the prediction of disease progression and treatment simulation could become possible. In this review, we focus on the advantages, challenges and practical aspects of digital twins in the management of MS. We discuss the use of digital twins for MS as a revolutionary tool to improve diagnosis, monitoring and therapy refining patients’ well-being, saving economic costs, and enabling prevention of disease progression. Digital twins will help make precision medicine and patient-centered care a reality in everyday life.

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Section: What Are Digital Twins?mentioning

confidence: 99%

Digital Twins for Multiple Sclerosis

et al. 2021

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“…The device uses electronic sensory detectors to assess the surroundings and signaling pathways to interact with it. A ‘robot' is a smart device that combines a computer foundation with mechanical actuators and sensors [ 11 ]. An ‘infobot' is software that acts in a refined algorithmic context, but a judgment assistance technology is a program that provides guidance and is paired with a human operator.…”

Section: Introductionmentioning

confidence: 99%

Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence

Rong

Xin

et al. 2022

Applied Bionics and Biomechanics

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Due to the rapid growth of the elderly around the world, the artificial intelligence control framework can collect information and apply it and perform other tasks. Artificial intelligence plays an important role in focusing on the elderly. For example, it can improve the relationship between the elderly and family members or nursing teams. In addition, AI chat robot can communicate with the elderly without obstacles and can remind the elderly when to take medicine, regular physical examination, etc. A significant number of the AI applications on cell phones accessible today could screen wellbeing information, like every day exercises, diet, and surprisingly the senior’s way of life, in a less nosy way. In such cases, it could help in expecting and, subsequently, forestalling any conceivable hypertension or unpredictable heart rate. Essentially, mechanical ‘pets’ are likewise assisting with fighting off feelings of loneliness, while additionally assisting with upgrading patient consideration simultaneously. One model is Tombot, a little dog like model, which was made to diminish misery and tension among dementia patients. Its head developments, looks, and swaying tail feel basically the same as the real thing, causing occupants to feel as though they have their very own pet to really focus on. One of the issues that growing societies are presently facing is the care of elderly individuals. The dearth of skilled workers in the senior healthcare setting has been exacerbated by the worldwide shift of aging populations. There might be an enhanced need for old nursing since the global older demographic is expected to nearly triple in the coming three decades. There are advancements in computer technologies for supporting the aged plus associated caregivers, checking their wellbeing, and offering company to them. Given the global elderly demographic development possibilities, it is no coincidence that the aided care market is drawing fast advancement, rendering health management for nurses a breeze. While the world’s governments manage the aging population next years, these ideas will become extremely vital. They will almost certainly encounter economic and political demands to modify state medical care management, retirement benefits, and social security in order to meet the needs of an aging population. Considering that the demand for physicians is growing, a necessity has developed to deliver individualized care for the aged as well as to respond appropriately in emergencies. As a result, in the technological society, healthcare is exploring artificial intelligence to deliver personalized treatment to individuals in need. The challenges of the aged are determined in this study, and answers are supplied via a tailored computer (robot). With the crucial details given via Internet of Things gadgets, emergency events may be foreseen relatively promptly, and appropriate actions can be proposed by AI technology. Individuals’ vital health information is collected using the Internet of Things based on smart technology. The information is evaluated, and decisions are made by AI, while the developed machine performs the appropriate task. This research, therefore, looks at the material design of medical products for elderly people based on artificial intelligence. It goes further and explains some of the challenges encountered in the process and possible remedies.

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“…Therefore, to build a complete DDPG algorithm, it is always necessary to meet the needs of selecting a control action to a robot, executing the action, receiving rewards, storing and sampling to train the algorithm, calculating of the target function. Subsequently updating the model parameters by minimizing the loss function on all selected samples, followed by selecting the method to update the target neural network parameters, and finally updating the environmental discovery coefficient during the control process [3,5,6,15,16].…”

Section: B the Robot Navigation Using Ddpg Algorithmmentioning

confidence: 99%

Mobile robots interacting with obstacles control based on artificial intelligence

Chuyen¹,

Hoa²,

Dien³

2022

Proceedings of the Sixth International Conference on Research in Intelligent and Computing

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In this paper, research on the applications of artificial intelligence in implementing Deep Deterministic Policy Gradient (DDPG) on Gazebo model and the reality of mobile robot has been studied and applied. The goal of the experimental studies is to navigate the mobile robot to learn the best possible action to move in real-world environments when facing fixed and mobile obstacles. When the robot moves in an environment with obstacles, the robot will automatically control to avoid these obstacles. Then, the more time that can be maintained within a specific limit, the more rewards are accumulated and therefore better results will be achieved. The authors performed various tests with many transform parameters and proved that the DDPG algorithm is more efficient than algorithms like Q-learning, Machine learning, deep Q-network, etc. Then execute SLAM to recognize the robot positions, and virtual maps are precisely built and displayed in Rviz. The research results will be the basis for the design and construction of control algorithms for mobile robots and industrial robots applied in programming techniques and industrial factory automation control.

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Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving Centers

Cited by 35 publications

References 32 publications

Digital Twins for Multiple Sclerosis

Digital Twins for Multiple Sclerosis

Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence

Mobile robots interacting with obstacles control based on artificial intelligence

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