A NEW TELEREHABILITATION SYSTEM BASED ON INTERNET OF THINGS

Internet of Things (IoT) applied in healthcare system has huge potential to improve patients' quality of life. Representing network of devices embedded with electronics and sensors, IoT enables constant monitoring of vital body functions, tracking of physical activities of a person and aides rehab physical therapy. Such an IoT-based system would allow standalone recovery process, minimizing need of dedicated medical personnel and could be used in both hospital and home conditions. In this paper, we  present a telerehabilitation system that uses wearable muscle sensor and Microsoft Kinect to create interactive personalized physical therapy that can be carried out at home. Early experiments and results of pilot implementation validate the feasibility and effectiveness of the proposed IoT-enabled telerehabilitation system

Enhance User Engagement using Gamified Ineternet of Things

Gamification is considered as a promising approach to enhance people’s engagement in many social or technical systems, thus is supposed to play an important role in future Internet of Everything (IoE). Although gamification elements have already been reported in various IoT research, there still lacks answers about how gamification may affect user engagement in IoT systems and through what paths. In present work, we are synthesizing and analyzing existing research efforts in these emerging fields to provide implications for future IoE development. The results are categorized into three dimensions by considering cognitive-behavioral outcome, procedural stage and population scale

Devices and Data Workflow in COPD Wearable Remote Patient Monitoring: A Systematic Review

Background: With global increase in Chronic Obstructive Pulmonary Disease (COPD) prevalence and mortality rates, and socioeconomical burden continuing to rise, current disease management strategies appear inadequate, paving the way for technological solutions, namely remote patient monitoring (RPM), adoption considering its acute disease events management benefit. One RPM’s category stands out, wearable devices, due to its availability and apparent ease of use. Objectives: To assess the current market and interventional solutions regarding wearable devices in the remote monitoring of COPD patients through a systematic review design from a device composition, data workflow, and collected parameters description standpoint. Methods: A systematic review was conducted to identify wearable device trends in this population through the development of a comprehensive search strategy, searching beyond the mainstream databases, and aggregating diverse information found regarding the same device. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed, and quality appraisal of identified studies was performed using the Critical Appraisal Skills Programme (CASP) quality appraisal checklists. Results: The review resulted on the identification of 1590 references, of which a final 79 were included. 56 wearable devices were analysed, with the slight majority belonging to the wellness devices class. Substantial device heterogeneity was identified regarding device composition type and wearing location, and data workflow regarding 4 considered components. Clinical monitoring devices are starting to gain relevance in the market and slightly over a third, aim to assist COPD patients and healthcare professionals in exacerbation prediction. Compliance with validated recommendations is still lacking, with no devices assessing the totality of recommended vital signs. Conclusions: The identified heterogeneity, despite expected considering the relative novelty of wearable devices, alerts for the need to regulate the development and research of these technologies, specially from a structural and data collection and transmission standpoints.Introdução: Com o aumento global das taxas de prevalência e mortalidade da Doença Pulmonar Obstrutiva Crónica (DPOC) e o seu impacto socioeconómico, as atuais estratégias de gestão da doença parecem inadequadas, abrindo caminho para soluções tecnológicas, nomeadamente para a adoção da monitorização remota, tendo em conta o seu benefício na gestão de exacerbações de doenças crónicas. Dentro destaca-se uma categoria, os dispositivos wearable, pela sua disponibilidade e aparente facilidade de uso. Objetivos: Avaliar as soluções existentes, tanto no mercado, como na área de investigação, relativas a dispositivos wearable utilizados na monitorização remota de pacientes com DPOC através de uma revisão sistemática, do ponto de vista da composição do dispositivo, fluxo de dados e descrição dos parâmetros coletados. Métodos: Uma revisão sistemática foi realizada para identificar tendências destes dispositivos, através do desenvolvimento de uma estratégia de pesquisa abrangente, procurando pesquisar para além das databases convencionais e agregar diversas informações encontradas sobre o mesmo dispositivo. Para tal, foram seguidas as diretrizes PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), e a avaliação da qualidade dos estudos identificados foi realizada utilizando a ferramenta CASP (Critical Appraisal Skills Programme). Resultados: A revisão resultou na identificação de 1590 referências, das quais 79 foram incluídas. Foram analisados 56 dispositivos wearable, com a ligeira maioria a pertencer à classe de dispositivos de wellness. Foi identificada heterogeneidade substancial nos dispositivos em relação à sua composição, local de uso e ao fluxo de dados em relação a 4 componentes considerados. Os dispositivos de monitorização clínica já evidenciam alguma relevância no mercado e, pouco mais de um terço, visam auxiliar pacientes com DPOC e profissionais de saúde na previsão de exacerbações. Ainda assim, é notória a falta do cumprimento das recomendações validadas, não estando disponíveis dispositivos que avaliem a totalidade dos sinais vitais recomendados. Conclusão: A heterogeneidade identificada, apesar de esperada face à relativa novidade dos dispositivos wearable, alerta para a necessidade de regulamentação do desenvolvimento e investigação destas tecnologias, especialmente do ponto de vista estrutural e de recolha e transmissão de dados

Utilizing the intelligence edge framework for robotic upper limb rehabilitation in home

Robotic devices are gaining popularity for the physical rehabilitation of stroke survivors. Transition of these robotic systems from research labs to the clinical setting has been successful, however, providing robot-assisted rehabilitation in home settings remains to be achieved. In addition to ensure safety to the users, other important issues that need to be addressed are the real time monitoring of the installed instruments, remote supervision by a therapist, optimal data transmission and processing. The goal of this paper is to advance the current state of robot-assisted in-home rehabilitation. A state-of-the-art approach to implement a novel paradigm for home-based training of stroke survivors in the context of an upper limb rehabilitation robot system is presented in this paper. First, a cost effective and easy-to-wear upper limb robotic orthosis for home settings is introduced. Then, a framework of the internet of robotics things (IoRT) is discussed together with its implementation. Experimental results are included from a proof-of-concept study demonstrating that the means of absolute errors in predicting wrist, elbow and shoulder angles are 0.89180,2.67530 and 8.02580, respectively. These experimental results demonstrate the feasibility of a safe home-based training paradigm for stroke survivors. The proposed framework will help overcome the technological barriers, being relevant for IT experts in health-related domains and pave the way to setting up a telerehabilitation system increasing implementation of home-based robotic rehabilitation. The proposed novel framework includes: • A low-cost and easy to wear upper limb robotic orthosis which is suitable for use at home. • A paradigm of IoRT which is used in conjunction with the robotic orthosis for home-based rehabilitation. • A machine learning-based protocol which combines and analyse the data from robot sensors for efficient and quick decision making

Interoperability enablers for cyber-physical enterprise systems

BG05М2ОР001-1.002-0002publishersversionpublishe

GUEST EDITORIAL

Nowadays, Internet has evolved into a platform that reshapes modern life and removes borders between real, social and cyber worlds. Internet of Things (IoT) is an emerging paradigm and a cutting edge technology that harnesses a network of embedded, interconnected objects (sensors, actuators, tags or mobile devices) in order to collect various types of information at anytime and anywhere. These devices can be used for building different complex smart environments [1], such as smart homes [2][3], smart classrooms [4], smart offices [5], smart factories [6], smart cities [7], intelligent transportation systems [8], smart power grids [9] or smart e-government. Further, the networks of devices are based on advanced Internet standards. IoT implies seamless integration of numerous types of devices into existing Internet infrastructure. Smart environments can be customized according to users’ needs and preferences which are suitable for automating these environments. Internet of things solutions often encompass integration with cloud-based systems and services [7]: Infrastructure as a service (IaaS), Platform as a service (PaaS) and Software as a service (SaaS)

Optimal locations and computational frameworks of FSR and IMU sensors for measuring gait abnormalities

Neuromuscular diseases cause abnormal joint movements and drastically alter gait patterns in patients. The analysis of abnormal gait patterns can provide clinicians with an in-depth insight into implementing appropriate rehabilitation therapies. Wearable sensors are used to measure the gait patterns of neuromuscular patients due to their non-invasive and cost-efficient characteristics. FSR and IMU sensors are the most popular and efficient options. When assessing abnormal gait patterns, it is important to determine the optimal locations of FSRs and IMUs on the human body, along with their computational framework. The gait abnormalities of different types and the gait analysis systems based on IMUs and FSRs have therefore been investigated. After studying a variety of research articles, the optimal locations of the FSR and IMU sensors were determined by analysing the main pressure points under the feet and prime anatomical locations on the human body. A total of seven locations (the big toe, heel, first, third, and fifth metatarsals, as well as two close to the medial arch) can be used to measure gate cycles for normal and flat feet. It has been found that IMU sensors can be placed in four standard anatomical locations (the feet, shank, thigh, and pelvis). A section on computational analysis is included to illustrate how data from the FSR and IMU sensors are processed. Sensor data is typically sampled at 100 Hz, and wireless systems use a range of microcontrollers to capture and transmit the signals. The findings reported in this article are expected to help develop efficient and cost-effective gait analysis systems by using an optimal number of FSRs and IMUs

Insight into the Digital Health System of Ukraine (eHealth): Trends, Definitions, Standards, and Legislative Revisions

Purpose. This article aims to provide an in-depth examination of the digital health system of Ukraine, focusing on the emerging trends, precise definitions, established standards, and recent legislative revisions that shape the practice and implementation of eHealth solutions within the country. Background. The digital health landscape in Ukraine has witnessed significant transformations, especially in the wake of the COVID-19 pandemic and subsequent military conflicts. These events have catalyzed the expansion of telemedicine services, leading to innovative approaches in healthcare delivery. The national strategy underscores the necessity for human-centric and accessible telemedicine, reinforced by technological neutrality, and harmonization with global standards. Methods. A review of the current literature, national strategies, and legal documents was conducted, alongside an analysis of data usage and service provision patterns in various Ukrainian regions. Participation in the "Science for Safety and Sustainable Development of Ukraine" competition facilitated project initiatives like the development of a cloud-based platform for patient-centered telerehabilitation for oncology patients. Findings. The utilization of telemedicine has significantly increased in conflict-affected regions, demonstrating the need for, and the effective deployment of, digital health strategies under crisis conditions. Private health facilities and entrepreneurs have been pivotal in the provision of telemedicine services. Legislative efforts have been geared toward framing telemedicine as an integral component of the national eHealth system, ensuring interoperability, and aligning with international standards and the Internet of Medical Things (IoMT). Interpretation. The findings underscore the resilience and adaptability of the Ukrainian healthcare system in the face of adversity. There is a clear trend towards a more integrated, patient-focused, and technologically advanced healthcare model, aligning with international trends and prioritizing public health goals over private profits. This progress, however, is contingent upon continuous development, investment in technological infrastructure, and legislative support to sustain and advance digital health initiatives