Sensor network integration for a medical device using CDG

The weakness of the deep layer of lumbar or cervical spine muscles (so-called multifidus muscles) is among the most common causes for backpain. Frequent testing and measurements over a 20 years period of time showed a common weakness of this particular muscle group in more than 70% of investigated persons. Following a routine training has demonstrated an effective improvement in low back health. The Smart4Health project aims at empowering EU Citizens with an interoperable and exchangeable European Electronic Health Record (EHR) that will allow EU citizens to be active participants in managing their own health. As part of project activities, Smart4Health will upgrade existing physiotherapy devices with real-Time measurements and connectivity capabilities, meeting new medical device regulations. Force and angle sensors measurement technology will be connected and integrated in the Smart4Health framework, enabling the patient with a real-Time performance visualization and the treatment data upload for a secure cloud. The clinicians can then keep track of the patient treatment and made the necessary adjustments (if needed). The physiotherapy device and its sensors are connected over a secure network, enabling the data collection of health-related data. Moreover, an intelligent sensors network collecting citizen health and wellbeing data, adds information to citizen's EHR.authorsversionpublishe

Implementation of Local Transport Protocol Library (LTPlib) into Real-time Operating System (RTOS)

Healthcare is getting more expensive overtime. Personal telehealth systems, including remote patient monitoring and management, can facilitate caregiver to effectively deliver high-quality healthcare service at lower cost. The recent developments in information and communication technologies have increased the degree of connectivity between people using smart devices. To further enhance these developments, implementation of the Local Transport Protocol library is ported to a micro real-time operating system to achieve a low cost yet highly efficient embedded system.The selected hardware and software provide easy interface for data transfer from a monitoring and measuring device to remote locations. Targeting the Continua Health Alliance compliancy as the future task of this research and development work can be a significant contribution to the future of healthcare monitoring system

DESIGNING AN INDUCTIVE SENSOR FOR ROAD TRAFFIC MONITORING SYSTEMS AND CONTROL

The purpose of this study is to design an inductive sensor,which detect a vehicle on the road. The main objectives are to design an inductive sensor using an enameled copper wire and interface it to an electronics circuit. The analyses of experiments will mainly the important part of this project. Then, a demonstration will be held to demonstrate the sensing process using a working model. This sensor can change some work from manual to automatically. Examples of situation that can implement this sensor is to control the barrier automatically on the main gates on the roads, to monitor traffic on a narrow curved portion of the road and to count the number of vehicles from a particular point per unit time. At present, there are a lot of sensors available in the market that uses inductive sensor. Many methods can be used in detecting the presence of vehicle and a complete circuit of inductive sensor has also been developed. The result from these methods will assist in the future work of this project

FHIR para troca de dados de bem-estar, colecionados por sensores usados em atividades quotidianas

A interoperabilidade é um conceito que descreve a capacidade de um sistema se comu-nicar de forma transparente com outros sistemas. Para que um sistema seja considerado inte-roperável, é necessário que este trabalhe com normas e uma delas é o Fast Healthcare Intero-perability Resources (FHIR). Esta é uma norma que define como as informações de saúde podem ser trocadas entre os diferentes sistemas computacionais e como é armazenada nesses mesmos sistemas. O de-senvolvimento desta norma surgiu como resposta às necessidades do mercado para métodos mais rápidos e fáceis para trocar uma grande quantidade de dados em saúde. Assim sendo, e uma vez que também surgiram aplicações e wearables para melhoria da qualidade de vida e bem-estar dos cidadãos, consumidores passaram a ter acesso a grandes quantidades de informações em tempo real potencialmente relevante do ponto de vista mé-dico. A questão centra-se em quais dos dados destes dispositivos podem ser efetivamente uti-lizados e como poderiam eles ser interoperáveis. O objetivo deste trabalho consiste na criação de perfis que permitam transformar o con-junto de dados obtidos a partir dos mais variáveis dispositivos e enviá-los para plataformas de saúde e bem-estar. Além da definição dos perfis, foi criado um conector capaz de assegurar a transferência de dados para uma qualquer plataforma de saúde que siga a norma FHIR.Interoperability is a concept that describes the ability of a system to communicate with transparency to other systems. For a system to be considered interoperable, it’s necessary that it works with standards, and one of them is Fast Healthcare Interoperability Resources (FHIR). This is a standard that defines how health information can be exchanged between diffe-rent computer systems and how it is stored in these systems. The development of this standard has emerged as a response to market needs for faster, easier methods for exchanging large amounts of health data. Therefore, and since applications and wearables have also emerged to improve the qua-lity of life and well-being of citizens, consumers now have acess to large amounts of potentially revelant medical information which can be shared in real-time. The question focuses on which of the data from these devices can be effectively used and how they could be interoperable. The purpose of this work is to create profiles that allows to transform the set of data obtained from the most variable devices and send them to health and wellness plataforms. Besides the definition of profiles, there has been created a conector that is capable of ensuring the transfer of data for any health platform that follows the FHIR standard

Fifth Conference on Artificial Intelligence for Space Applications

The Fifth Conference on Artificial Intelligence for Space Applications brings together diverse technical and scientific work in order to help those who employ AI methods in space applications to identify common goals and to address issues of general interest in the AI community. Topics include the following: automation for Space Station; intelligent control, testing, and fault diagnosis; robotics and vision; planning and scheduling; simulation, modeling, and tutoring; development tools and automatic programming; knowledge representation and acquisition; and knowledge base/data base integration

Intelligent Sensor Networks

In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts

Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial

Large language models (LLMs) have become phenomenally surging, since 2018--two decades after introducing context-awareness into computing systems. Through taking into account the situations of ubiquitous devices, users and the societies, context-aware computing has enabled a wide spectrum of innovative applications, such as assisted living, location-based social network services and so on. To recognize contexts and make decisions for actions accordingly, various artificial intelligence technologies, such as Ontology and OWL, have been adopted as representations for context modeling and reasoning. Recently, with the rise of LLMs and their improved natural language understanding and reasoning capabilities, it has become feasible to model contexts using natural language and perform context reasoning by interacting with LLMs such as ChatGPT and GPT-4. In this tutorial, we demonstrate the use of texts, prompts, and autonomous agents (AutoAgents) that enable LLMs to perform context modeling and reasoning without requiring fine-tuning of the model. We organize and introduce works in the related field, and name this computing paradigm as the LLM-driven Context-aware Computing (LCaC). In the LCaC paradigm, users' requests, sensors reading data, and the command to actuators are supposed to be represented as texts. Given the text of users' request and sensor data, the AutoAgent models the context by prompting and sends to the LLM for context reasoning. LLM generates a plan of actions and responds to the AutoAgent, which later follows the action plan to foster context-awareness. To prove the concepts, we use two showcases--(1) operating a mobile z-arm in an apartment for assisted living, and (2) planning a trip and scheduling the itinerary in a context-aware and personalized manner.Comment: Under revie

A Low-Power BFSK/OOK Transmitter for Wireless Sensors

In recent years, significant improvements in semiconductor technology have allowed consistent development of wireless chipsets in terms of functionality and form factor. This has opened up a broad range of applications for implantable wireless sensors and telemetry devices in multiple categories, such as military, industrial, and medical uses. The nature of these applications often requires the wireless sensors to be low-weight and energy-efficient to achieve long battery life. Among the various functions of these sensors, the communication block, used to transmit the gathered data, is typically the most power-hungry block. In typical wireless sensor networks, transmission range is below 10 meters and required radiated power is below 1 milliwatt. In such cases, power consumption of the frequency-synthesis circuits prior to the power amplifier of the transmitter becomes significant. Reducing this power consumption is currently the focus of various research endeavors. A popular method of achieving this goal is using a direct-modulation transmitter where the generated carrier is directly modulated with baseband data using simple modulation schemes. Among the different variations of direct-modulation transmitters, transmitters using unlocked digitally-controlled oscillators and transmitters with injection or resonator-locked oscillators are widely investigated because of their simple structure. These transmitters can achieve low-power and stable operation either with the help of recalibration or by sacrificing tuning capability. In contrast, phase-locked-loop-based (PLL) transmitters are less researched. The PLL uses a feedback loop to lock the carrier to a reference frequency with a programmable ratio and thus achieves good frequency stability and convenient tunability. This work focuses on PLL-based transmitters. The initial goal of this work is to reduce the power consumption of the oscillator and frequency divider, the two most power-consuming blocks in a PLL. Novel topologies for these two blocks are proposed which achieve ultra-low-power operation. Along with measured performance, mathematical analysis to derive rule-of-thumb design approaches are presented. Finally, the full transmitter is implemented using these blocks in a 130 nanometer CMOS process and is successfully tested for low-power operation

DESIGNING AN INDUCTIVE SENSOR FOR ROAD TRAFFIC MONITORING SYSTEMS AND CONTROL

The purpose of this study is to design an inductive sensor,which detect a vehicle on the road. The main objectives are to design an inductive sensor using an enameled copper wire and interface it to an electronics circuit. The analyses of experiments will mainly the important part of this project. Then, a demonstration will be held to demonstrate the sensing process using a working model. This sensor can change some work from manual to automatically. Examples of situation that can implement this sensor is to control the barrier automatically on the main gates on the roads, to monitor traffic on a narrow curved portion of the road and to count the number of vehicles from a particular point per unit time. At present, there are a lot of sensors available in the market that uses inductive sensor. Many methods can be used in detecting the presence of vehicle and a complete circuit of inductive sensor has also been developed. The result from these methods will assist in the future work of this project