Robot Assistant in Management of Diabetes in Children Based on the Internet of Things (original) (raw)
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The diagnosis and management of Diabetes type 1 (Children diabetes) is often a complicated process. Recent mobile health technologies are increasingly used in improving the selfmanagement of chronic diseases such as diabetes and several studies have proven its efficiency. Further, research has shown that increased awareness of the disease helps the diabetics to effectively manage their disease and consequently reduce the complications arising due to diabetes. In this paper, an innovative social robotic children diabetes management and educational system for diabetic children in Kingdom of Saudi Arabia is presented. The presented system makes use of Aisoy1 v5 robot in parallel with mobile health technologies. The aim of the system is to improve the diabetes type 1 management with children and to empower them with relevant knowledge about disease management to improve their awareness about the disease in Saudi Arabia. The proposed system presented in this paper will be tested and evaluated extensively in a randomized controlled trial in Saudi Arabia
Socio-Cognitive Engineering of a Robotic Partner for Child's Diabetes Self-Management
Frontiers in Robotics and AI
Social or humanoid robots do hardly show up in "the wild," aiming at pervasive and enduring human benefits such as child health. This paper presents a socio-cognitive engineering (SCE) methodology that guides the ongoing research & development for an evolving, longer-lasting human-robot partnership in practice. The SCE methodology has been applied in a large European project to develop a robotic partner that supports the daily diabetes management processes of children, aged between 7 and 14 years (i.e., Personal Assistant for a healthy Lifestyle, PAL). Four partnership functions were identified and worked out (joint objectives, agreements, experience sharing, and feedback & explanation) together with a common knowledge-base and interaction design for child's prolonged disease self-management. In an iterative refinement process of three cycles, these functions, knowledge base and interactions were built, integrated, tested, refined, and extended so that the PAL robot could more and more act as an effective partner for diabetes management. The SCE methodology helped to integrate into the human-agent/robot system: (a) theories, models, and methods from different scientific disciplines, (b) technologies from different fields, (c) varying diabetes management practices, and (d) last but not least, the diverse individual and context-dependent needs of the patients and caregivers. The resulting robotic partner proved to support the children on the three basic needs of the Self-Determination Theory: autonomy, competence, and relatedness. This paper presents the R&D methodology and the human-robot partnership framework for prolonged "blended" care of children with a chronic disease (children could use it up to 6 months; the robot in the hospitals and diabetes camps, and its avatar at home). It represents a new type of human-agent/robot systems with an evolving collective intelligence. The underlying ontology and design rationale can be used as foundation for further developments of long-duration human-robot partnerships "in the wild."
Software platform design for personal service robots in healthcare
This paper describes the software platform design of a personal service robot with application to healthcare scenarios. The platform was designed after exploration of both the service application and software architectural design spaces. The service application considered here is a comprehensive medication management service which evolved to be one of the more complex use cases in the Healthbots project. While algorithms and user studies of human robot interaction are reported in the literature, there is less attention given to related software frameworks and tools, which are addressed in this paper. The paper focuses and solves numerous design challenges to achieve the desired functionality of the medication management service with its complex set of workflow and contextual requirements which were not present in the software platforms we had designed. The robots were used in a real world deployment scenario at an Aged Care Facility. Scenarios and results from a field trial are presented to enable the research community to understand the technological and engineering challenges of deployment of the robot system and the level of fluid integration required to achieve the desired goals of functionality and robustness in the real world.
Multipurpose medical assistant robot (Docto-Bot) based on internet of things
International Journal of Electrical and Computer Engineering (IJECE), 2021
The world's population is growing every day, and so is the number of patients. People's life expectancy is increasing due to technology's welfare, but the problem is that the health sector has always faced a shortage of inadequate doctors. This research main objective was to design and implement a biomedical-based medical assistant robot named "Docto-Bot" to deal with this problem. This research concerns this medical assistant robot's design and development for the disabled and the patients in need. Such a robot's prime utilization is to minimize person-to-person contact and ensure the cleaning, sterilization, and support in hospitals and similar facilities such as quarantine. This prototype robot consists of a medicine reminding and medicine providing system, Automatic hand sanitizer and IoT based physiological monitoring system (body temperature, pulse rate, ECG, Oxygen saturation level). A direct one-to-one server-based communication method and user-end android app maintaining system designed. It also included the controlling part, which control automatically and manually by users. Docto-Bot will play a very significant factor in bio-medical robot applications. Though the achievements described in the paper look fruitful and advanced, shortcomings still exist.
Robin: An Autonomous Robot for Diabetic Children
ROBOTS WORKING FOR & AMONG US
Praminda talked about working in healthcare research and development at the boundaries between academia and industry with an emphasis on the deep involvement of the stakeholders and end-users of the services to be developed. Dr. Lester Russell, Senior Director EMEA Scale Team, Intel Corporation. Lester drew on his combined skills and experience in clinical, commercial and health service roles to talk about the ways in which "the black box" of AI can be used for social good. By adopting ICT to improve healthcare he will highlight not only the potential applications for artificial intelligence in health and life sciences, but also the barriers to its adoption and practical implementation.
Autonomous Robots, 2016
Information and Communication Technology and personal robots could play a fundamental role in efficiently managing chronic diseases and avoiding improper medications. They could support senior citizens with reminders, thus promoting their independent living and quality of life, especially in the presence of several chronic diseases (multimorbidity). In this context, this article proposes a service model for personalised medical support that is able to provide adequate healthcare service by means of a hybrid robot-cloud approach. This service was quantitatively and qualitatively tested to assess the technical feasibility and user acceptability level of the service. The service was tested with 23 older people (65-86 years) in the DomoCasa Lab (Italy). This study demonstrated the feasibility of the proposed hybrid cloud solution and the usability and acceptability were positively evaluated thus confirming the ability to utilise these innovative technologies for active and healthy ageing.
Development Strategy of an Architecture for E-Health Personalised Service Robots
This paper presents a service robot architecture based on the principles of a Service-Oriented Architecture (SOA), whose modularity design maximizes the benefits of multidisciplinary contributions from researchers of different areas. The diagram of the proposed architecture is presented and discussed in terms of its development strategy, oriented towards the creation of societal and economical impact. Services are supported by an intelligently managed database, storing personal profiles and preferences towards an active and personalized assistive care. The Entity-Relationship schema is described in detail, giving an overview of how the different types of information are related, e.g., relating preferred activities with specific locations and with preferred friends to take part. It is virtually impossible to identify all elderly needs in advance, since their fragile condition leads to constantly changing needs. The proposed methodology fosters services adaptability. It allows for them to continuously fit elderly specific needs efficiently and improve the quality of a service without requiring redeveloping it entirely. By applying the proposed architecture, a service robot can, for example, actively search for an elderly person to assess his/her status (felling sad, bored, etc.) and perform specific actions in a personalised manner, according to his/her preferences. This work is developed within the context of the Social Robot project, funded by the FP7 Marie Curie Programme IAAP.
Patient Intelligence, 2012
Children with type 1 diabetes need to self-manage their illness to minimize its impact on their long-term health. However, because children are still developing cognitively and emotionally, self-management is challenging. The European FP7 project, ALIZ-E, looks at how social robots can support children aged 8-12 years with their diabetes self-management. To acquire user requirements for such a robot, we studied how diabetes self-management is organized for children and how they experience their illness and its management regarding their quality of life. Methods: We conducted semistructured interviews with diabetes caregivers (n = 6) and children 8-12 with type 1 diabetes (n = 9), and surveyed their parents (n = 9). Results: Results of the interviews with caregivers show that parents play a prominent role in diabetes self-management and, accordingly, children do not experience significant problems. However, because children develop a need for autonomy during puberty, it is important that they become more proficient in their self-management at an earlier age. Results of the interviews with children show that they accept diabetes as a part of their life and want to be seen as regular children. Also, children experience difficulties in unusual situations (eg, doing sports and vacationing) and at school. The illness comes at the cost of the child's mental wellbeing (eg, insecurity, fear, and worry) and physical well-being (eg, listlessness and tiredness). Regarding social well-being, children enjoy attending diabetes camps and having friends with diabetes, due to a common understanding of their condition. Finally, parents are not always fully aware of how children experience their illness. Conclusion: Children could benefit from social robots offering motivation, training, and (parental) monitoring and support, and serving as a fallback for uncommon events. To prevent stigmatization, the robot would need to act as a buddy and not as a support tool in the management of diabetes.
Architecture of a Web of Things eHealth framework for the support of users with chronic diseases
Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2016
This paper presents an architecture, system components, applications and interfaces of a Web of Things framework for supporting home hospitalization of users with chronic diseases. Home hospitalization intends to provide health care at same level and quality at the home of the patient same as it is provided at a hospital. After an introductory section, the document presents a global overview of the design philosophy, together with the main actors involved. Then the different layers of the system and their components are depicted. Finally, a walkthrough on the different technologies that will be used for the implementation of an instance of the described architecture is being provided. This paper builds upon known requirements for home hospitalization and serves as basis for the implementation of instances of such system.
Design and Implementation of an IoT Based Medical Assistant Robot (Aido-Bot
This paper discusses in detail a proposed IoT-Based Medical Assistant Robot (Aido-Bot) that will be designed and implemented for the disabled and the patients in need. Such a robot's prime utilization is to minimize person-toperson contact and ensure proper cleaning, sterilization and support in hospitals. The paper explains the background of the study and will also explore some previous related works to find a collaboration of other relevant devices/systems so that a better device can be developed. Then the main algorithm, architecture and the controlling system are explained in detail. According to the proposed method, an IoT-Based Medicine Reminding and Medicine Providing System, Automatic Hand Sanitizer and IoT-Based Physiological parameters observing system (Body Temperature, Pulse rate, and Oxygen saturation level) are developed including a direct one-to-one server-based communication method and an end user android app maintaining system. Though the achievements defined in the paper look fruitful and superior, shortcomings still exist.