Search results for "VDP::Teknologi: 500::Medisinsk teknologi: 620"

showing 10 items of 13 documents

A Trajectory-Driven 3D Channel Model for Human Activity Recognition

2021

This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler signatures of indoor channels for human activity recognition by using radiofrequency-based sensing technologies. The major human body segments, such as wrists, ankles, torso, and head, are modelled as a cluster of moving point scatterers. We provide expressions for the time variant (TV) speed and TV angles of motion based on 3D trajectories of the moving person. Moreover, we present mathematical expressions for the TV Doppler shifts and TV path gains associated with each movin…

Channel transfer functionGeneral Computer ScienceComputer scienceInternet of ThingsComputació centrada en humansDoppler EfecteActivity recognitionsymbols.namesakespectrogramInertial measurement unitVDP::Teknologi: 500::Medisinsk teknologi: 620Channel measurementsnon-stationary fading channelsmedicineGeneral Materials ScienceComputer visionNon-stationary fading channelsReconeixement de formes (Informàtica)channel state informationSpectrogrambusiness.industryWireless sensingGeneral Engineering:Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes [Àrees temàtiques de la UPC]TorsoInertial measurement unitsExpression (mathematics)TK1-9971Time-variant Doppler power characteristicsmedicine.anatomical_structureChannel state informationHuman-centered computingchannel transfer functiontime-variant Doppler power characteristicsTrajectorysymbolsChannel state informationSpectrogramMicro-Doppler signature:Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC]Electrical engineering. Electronics. Nuclear engineeringArtificial intelligenceHuman activity recognitionbusinessDoppler effect
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Wi-Sense: a passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems

2021

AbstractA human activity recognition (HAR) system acts as the backbone of many human-centric applications, such as active assisted living and in-home monitoring for elderly and physically impaired people. Although existing Wi-Fi-based human activity recognition methods report good results, their performance is affected by the changes in the ambient environment. In this work, we present Wi-Sense—a human activity recognition system that uses a convolutional neural network (CNN) to recognize human activities based on the environment-independent fingerprints extracted from the Wi-Fi channel state information (CSI). First, Wi-Sense captures the CSI by using a standard Wi-Fi network interface car…

Computer sciencebusiness.industry010401 analytical chemistry020206 networking & telecommunicationsPattern recognition02 engineering and technology01 natural sciencesConvolutional neural network0104 chemical sciencesActivity recognitionData setNetwork interface controllerChannel state informationVDP::Teknologi: 500::Medisinsk teknologi: 620Principal component analysis0202 electrical engineering electronic engineering information engineeringSpectrogramNoise (video)Artificial intelligenceElectrical and Electronic Engineeringbusiness
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Remote ECG Monitoring by ECG247 Smart Heart Sensor

2022

Background. Heart rhythm disorders are common and may be associated with serious complications. The quality of the ECG signal is crucial to detect and classify arrhythmias. Most available devices for assessment arrhythmias do not allow for remote monitoring. The Norwegian ECG247 Smart Heart Sensor is a new remote patch monitor developed to simplify the assessment of arrhythmias. This study was aimed at evaluating the quality of the ECG signal from the ECG247 Smart Heart Sensor compared to standard 12-lead ECG. Methods. ECG recordings with ECG247 Smart Heart Sensor and a standard 12-lead ECG recorder were performed in 97 volunteers at Sorlandet Hospital, Arendal, Norway, in 2019. All ECGs we…

Health Information ManagementArticle SubjectVDP::Teknologi: 500::Medisinsk teknologi: 620Computer Networks and CommunicationsVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750Medicine (miscellaneous)Health Informaticscardiovascular diseasesInternational Journal of Telemedicine and Applications
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How to enhance digital support for cross-organisational health care teams? A user-based explorative study

2020

Health care service provision of individualised treatment to an ageing population prone to chronic conditions and multimorbidities is threatened. There is a need for digitally supported care, that is, (1) person-centred, (2) integrated, and (3) proactive. The research project 3P, Patients and Professionals in Productive Teams, aimed to validate and verify the prerequisites for health care systems run with patient-centred service models. This paper presents an explorative study of the digital support of a cross-organisational health care team in Norway, providing services to elderly frail people with multimorbidities in hospital discharge transition. Qualitative research methods were employe…

Medicine (General)Population ageingService (systems architecture)Knowledge management020205 medical informaticsArticle SubjectHealth Services for the AgedFrail Elderlymedia_common.quotation_subjectInteroperabilityBiomedical EngineeringHealth InformaticsCloud computingComorbidity02 engineering and technology03 medical and health sciencesR5-9200302 clinical medicineVDP::Teknologi: 500::Medisinsk teknologi: 620Patient-Centered CareHealth careMedical technology0202 electrical engineering electronic engineering information engineeringHumans030212 general & internal medicineInformation flow (information theory)R855-855.5VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Qualitative ResearchAgedmedia_commonPatient Care TeamTeamworkComputersNorwaybusiness.industryData CollectionVDP::Medical disciplines: 700::Health sciences: 800Cloud ComputingTelemedicineVDP::Medisinske Fag: 700::Helsefag: 800Models OrganizationalChronic DiseaseSurgerybusinessVDP::Technology: 500::Medical technology: 620Research ArticleBiotechnologyQualitative research
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Integrating Telemedicine Solutions with Electronic Health Records; Evaluation of Alternatives based on the Proposed Reference Architecture for Norway…

2016

This report studies the way forward for how a telemedicine solution can be integrated for exchange of data with an existing Electronic Health Record (EHR) system. The solution used an example for this report is based on a telemedicine solution for COPD patients (Chronic Obstructive Pulmonary Disease) developed in the project “Collaborative Point-of-Care Services Agder: Follow-up of COPD patients as part of the United4Health EU Project», with financial support from the Research Council of Norway. In addition, the EHR solution from DIPS ASA is used as an example of an existing system for integration. Important parameters for choosing way forward on how to are:  urgency with regards to timeli…

OpenEHRVDP::Teknologi: 500::Medisinsk teknologi: 620FHIREHR integrationArchetypesXDSVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550TelemedicineStandardizationHL7
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Examining the effects of an eHealth intervention from infant age 6 to 12 months on child eating behaviors and maternal feeding practices one year aft…

2019

ObjectivesThe Norwegian randomized controlled trial Early Food for Future Health provided parental anticipatory guidance on early protective feeding practices from child age 6 to 12 months through an eHealth intervention. Previously published outcomes at child age 12 months indicated that the eHealth intervention increased daily vegetable/fruit intake and promoted more beneficial mealtime routines. The objective of the current paper is to evaluate the effects of the intervention at child age 24 months, one year after cessation.MethodsParents of infants aged 3-5 months were recruited via social media and child health clinics during spring 2016. At child age 5.5 months, 715 mothers were rando…

QuestionnairesMaleEuropean PeoplePediatricsPhysiologyHealth BehaviorSocial SciencesChild BehaviorPediatricslaw.inventionHabitsFamiliesEating0302 clinical medicineRandomized controlled triallawMedicine and Health SciencesPsychologyEthnicitiesMedicinePublic and Occupational Health030212 general & internal medicineInfant Nutritional Physiological PhenomenaChildrenMealsMultidisciplinaryNorwayQChild HealthRTelemedicinePeer reviewPhysiological ParametersResearch DesignChild PreschoollanguageMedicineFemaleInfantsResearch Articlemedicine.medical_specialtyChildhood ObesityNorwegian PeopleScienceMothersNorwegianResearch and Analysis MethodsChildhood obesityChild health03 medical and health sciencesVDP::Teknologi: 500::Medisinsk teknologi: 620030225 pediatricsIntervention (counseling)eHealthHumansObesityBehaviorSurvey Researchbusiness.industryEating HabitsBody WeightBiology and Life SciencesInfantFeeding BehaviorAnthropometrymedicine.diseaselanguage.human_languageAge GroupsPeople and PlacesPopulation GroupingsPhysiological Processesbusiness
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Internet of Things with Deep Learning-Based Face Recognition Approach for Authentication in Control Medical Systems

2022

Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role in many applications, including medical and healthcare systems. It can help users in this field get an advantage in terms of enhanced touchless authentication, especially in spreading infectious diseases like coronavirus disease 2019 (COVID-19). Even though there is a number of available security systems, they suffer from one or more of issues, such as identity fraud, loss of keys and passwords, or spreading diseases through touch authentication tools. To overcome these issues, IoT-based intelligent control medical authentication systems using DL models are proposed to enhance the security f…

Support Vector MachineGeneral Immunology and MicrobiologyArticle SubjectDatabases FactualSARS-CoV-2Applied MathematicsAutomated Facial RecognitionInternet of ThingsCOVID-19General MedicineEquipment DesignVDP::Teknologi: 500::Industri- og produktdesign: 640General Biochemistry Genetics and Molecular BiologyPattern Recognition AutomatedDeep LearningVDP::Teknologi: 500::Bioteknologi: 590VDP::Teknologi: 500::Medisinsk teknologi: 620Modeling and SimulationHumansComputer SimulationAlgorithmsComputer Security
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Sorterius - An augmented reality app for encouraging outdoor physical activity for people with intellectual disabilities

2022

Many with intellectual disabilities (ID) have difficulties adhering to current physical activity guidelines. The goal of this study was to develop a mobile app for assisting people with ID to be more physically active. We implemented a solution that combines the digital and real world using augmented reality (AR). Eight people working with people with ID (special education teachers, social workers, psychologists, and researchers) tested the app and completed a usability test. Results indicate that a mobile app focusing on everyday life scenarios can have a potential value for the targeted user group, but AR solutions can be challenging. publishedVersion

VDP::Medisinske Fag: 700::Helsefag: 800VDP::Teknologi: 500::Medisinsk teknologi: 620Linköping Electronic Conference Proceedings
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Velferdsteknologi i koronaens tid – Starten på et nytt helsevesen?

2021

Master´s thesis in Helath Informatics- full time (HSI501) Jeg jobber i helsevesenet og har i de siste årene fått mer ansvar når det gjelder IKT på arbeidsplassen. I den forbindelse ønsket jeg å se nærmere på bruken av velferdsteknologiske verktøy innen psykisk helsevern i Norge. Hvilke tilbud finnes, og hvor effektive er disse? Dette er noen av spørsmålene jeg ønsket å besvare i løpet av denne oppgaven. Jeg tok derfor utgangspunkt i følgende problemstlling: Hva må til for å øke bruken av velferdsteknologi innen psykisk helsevern? Hva er helsepersonells forhold til velferdsteknologi, og hvilke faktorer må ligge til rette for å sikre god implementering? Hensikten med prosjektet er å undersøke…

VDP::Teknologi: 500::Medisinsk teknologi: 620HSI501
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«Jeg vet ikke om så mye som finnes, så jeg har heller ikke spurt etter det» En kvalitativ studie om hvordan pårørende til hjemmeboende personer med d…

2021

Master´s thesis in Health Science (ME520)

VDP::Teknologi: 500::Medisinsk teknologi: 620ME520
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