Search results for "telemedicine."

showing 10 items of 172 documents

RFID Technology for IoT-Based Personal Healthcare in Smart Spaces

2014

The current evolution of the traditional medical model toward the participatory medicine can be boosted by the Internet of Things (IoT) paradigm involving sensors (environmental, wearable, and implanted) spread inside domestic environments with the purpose to monitor the user’s health and activate remote assistance. RF identification (RFID) technology is now mature to provide part of the IoT physical layer for the personal healthcare in smart environments through low-cost, energy-autonomous, and disposable sensors. It is here presented a survey on the state-of-the-art of RFID for application to bodycentric systems and for gathering information (temperature, humidity, and other gases) about …

TelemedicineComputer Networks and Communicationsbusiness.industryComputer scienceProcess (engineering)Wearable computerSettore ING-INF/02 - Campi ElettromagneticiComputer securitycomputer.software_genreSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computer Science ApplicationsIdentification (information)Hardware and ArchitectureSignal ProcessingHealth careSmart environmentInternet of ThingsbusinesscomputerRFID Internet of things human health monitoringInformation Systems
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Satisfaction with and reliability of in-hospital video-EEG monitoring systems in epilepsy diagnosis – A German multicenter experience

2021

OBJECTIVE: To analyze satisfaction with and reliability of video-electroencephalography-monitoring systems (VEMS) in epilepsy diagnostics.; METHODS: A survey was conducted between December 2020 and January 2021 among German epilepsy centers using well-established customer satisfaction (CS) and quality assurance metrics.; RESULTS: Among 16 participating centers, CS with VEMS was low, with only 13% of customers actively recommending their system. Only 50% of users were satisfied with the overall performance of their VEMS, and a low 18% were satisfied with the manufacturer's customer service. User interface, software stability, lack of regular updates, and missing customer-oriented improvement…

TelemedicineComputer scienceData managementmedia_common.quotation_subjectVideo Recording050105 experimental psychology03 medical and health sciences0302 clinical medicineGermanyPhysiology (medical)Humans0501 psychology and cognitive sciencesQuality (business)Operations managementReliability (statistics)media_commonInpatientsEpilepsybusiness.industry05 social sciencesReproducibility of ResultsHealth technologyElectroencephalographyNeurophysiological MonitoringHospitalsTelemedicineSensory SystemsNeurologyVEMSPatient SatisfactionCustomer satisfactionNeurology (clinical)businessQuality assurance030217 neurology & neurosurgeryClinical Neurophysiology
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Analysis of the Russian and World Marker of Telemedicine and Biochipping: Features and Development Prospects

2019

The paper considers the telemedicine and biochipping market and studies the peculiarities of its development and problems in different countries. The purpose is to study the experience of telemedicine and biochipping in the world, and its features and prospects of development. The authors used methods of generalization, comparison, sampling, regression analysis, scientific articles and expert opinions to make a comparative analysis of the experience and results of the implementation of biochipping and telemedicine. The following conclusion was made: with the introduction of biochipping, the problem of a large number of long-term hospital and false ambulance calls will be solved, and the bod…

TelemedicineComputer scienceGeneralizationSampling (statistics)Regression analysisDigital economyData science
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An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks

2020

Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The system sends the ECG signal to a Fog layer service by using the LoRa communication protocol. Also, it includes an AI algorithm based on deep learning for the detection of Atrial Fibrillation and other heart rhythms. The automatic detection of arrhythmias can be complementary to the diagnosis made by the physician, achieving a better clinical vision that improves therapeutic decision making. The performance of the proposed system is evaluated on a…

TelemedicineIoTComputer scienceInternet of Things02 engineering and technology030204 cardiovascular system & hematologyMachine learningcomputer.software_genrelcsh:Chemical technologyBiochemistryLoRaArticleAnalytical Chemistry03 medical and health sciencesElectrocardiography0302 clinical medicineFog computingAtrial FibrillationFog-AI0202 electrical engineering electronic engineering information engineeringmedicineHumanslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationMonitoring Physiologicbusiness.industryECGDeep learningAtrial fibrillationMonitoring systemCloud Computingmedicine.diseaseAtomic and Molecular Physics and Opticscardiovascular diseasesEdge-AIDeep neural networks020201 artificial intelligence & image processingArtificial intelligenceNeural Networks ComputerCommunications protocolbusinessInternet of ThingscomputerAlgorithmsSensors
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HCI for biomedical decision-making: From diagnosis to therapy.

2020

Abstract Human-Computer Interaction (HCI) plays a fundamental role in the design of software oriented towards clinical decision-making tasks. Currently, physicians have to deal with an ensemble of systems and software tools in the clinical environment, such as clinical Decision Support Systems (CDSSs), Electronic Health Records (EHRs), Picture Archiving and Communication Systems (PACSs). Moreover, additional platforms aim at collaborative work particularly in telemedicine, where rehabilitation technologies and conversational agents can support the healthcare professionals.

TelemedicineKnowledge managementComputer scienceHumans; Decision Making Computer-Assistedmedicine.medical_treatmentDecision MakingHealth InformaticsHealth recordsClinical decision support system03 medical and health sciencesComputer-Assisted0302 clinical medicineSoftwaremedicineHumans030212 general & internal medicineDecision Making Computer-Assisted030304 developmental biology0303 health sciencesRehabilitationHealth professionalsbusiness.industryComputer Science ApplicationsHuman-Computer InteractionWork (electrical)businessDecision-makingJournal of biomedical informatics
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Adaptation of the Model for Assessment of Telemedicine (MAST) for IoT Telemedicine Services

2017

Internet of Things (IoT) based solutions and services may be used to support and extend the independent living of older adults in their living environments by responding to real needs of caregivers, service providers and public authorities. Telemedicine and telehealth platforms are among the various types of IoT services that could support the provision of health services. Current Health Technology Assessment (HTA) models that are used for the evaluation of telehealth and telemedicine services do not consider IoT aspects. HTA models would ideally need to be extended to include IoT platforms, for an optimal introduction of IoT in everyday provision of health and care services. This paper pre…

TelemedicineKnowledge managementComputer sciencebusiness.industryClinical effectiveness030503 health policy & servicesHealth technology02 engineering and technologyTelehealthService provider03 medical and health sciencesHealth services0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0305 other medical scienceTelecommunicationsbusinessInternet of ThingsIndependent living
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A holistic framework for understanding acceptance of remote patient management (RPM) systems by non-professional users

2010

The successful integration of Information and Communication Technologies (ICT) in healthcare facilitates the use of the sophisticated medical equipment and computer applications by medical practitioners. If earlier medical systems were mainly used by the health professionals (e.g. medical staff or nurses), nowadays with the appearance of Internet health systems are becoming available to the broader user groups, particularly patients and their families. eHealth has become an active research and development area within healthcare industry. Another important tendency in the development of ICT for health is a shift from “hospital-centered” to “person-centered” health systems which can enable ma…

TelemedicineKnowledge managementbusiness.industryInformation and Communications TechnologyHealth careeHealthInformation systemMedical equipmentMedicineThe InternetContext (language use)business
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Decision support system for telemedicine based on multiple expertise

2002

This paper discusses results of the research in the area of artificial intelligence applications in telemedicine. The main goal of research is to manage multiple expertise obtained from experts-physicians in different countries to develop decision support medical system of broad earmarking based on telecommunication tools. The multilevel representation of medical data is discussed based on the apparatus of metastatistics. The technique is able to acquire semantically essential information from complex dynamics of quasi-periodical medical signals by applying recursively ordinary statistical tools. The voting-type technique is used to find consensus among medical experts in their description …

TelemedicineMedical algorithmDecision support systembusiness.industryComputer sciencecomputer.software_genreData scienceExpert systemKnowledge baseApplications of artificial intelligenceMedical diagnosisRepresentation (mathematics)businesscomputerProceedings of Computer Based Medical Systems
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Teleradiologie nach Röntgenverordnung - beispielhafte Anwendung der Open-Source-Software SecTelMed

2005

Purpose: Establishing a teleradiology connection according to the Rontgenverordnung (RoV) between a peripheral hospital and a university clinic will contribute to improve the radiological emergency treatment on weekends, holidays and at night. It will also better the medical care for patients and help to lower the costs. Materials and Methods: By using the open source software SecTelMed, the radiological picture is transferred via an internet-linked SSH communication server. The integration of the teleradiological data transfer into the actual workflow is attained by using the already existing PACS infrastructure. While its installation is still under construction, it is actually employed f…

TelemedicineMultimediabusiness.industrySecond opinionCommunications serverTeleradiologyRemotely operated underwater vehiclecomputer.software_genreWorkflowSoftwareMedicineData Protection Act 1998Radiology Nuclear Medicine and imagingbusinesscomputerRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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Clinicians' assessment of mobile monitoring: a comparative study in Japan and Spain.

2013

Background: The gradual but steady shift toward telemedicine during the past decades is a clear response to important health problems that most industrialized countries have been facing. The growing elderly population and changing dietary habits have led to an increase in people with chronic diseases and overall health care expenditures. As more consumers use their mobile device as their preferred information and communication technology (ICT) device, mobile health monitoring has been receiving increasing attention in recent years. Objective: This study examines clinicians’ perception of factors determining mobile health monitoring acceptance in Japan and Spain. The study proposes a causal …

TelemedicineOriginal Paperbusiness.industryApplied psychologyQuestionnairepersonal innovativenesssmartphoneInformation and Communications Technologyhealth monitoringHealth careMedicinePsychic distancebusinessMobile deviceDeveloped countrycomparative studyCausal modelpsychic distanceMedicine 2.0
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