A Systematic Review and Implementation of IoT-Based Pervasive Sensor-Enabled Tracking System for Dementia Patients

Ray, Partha Pratim; Dash, Dinesh; De, Debashis

doi:10.1007/s10916-019-1417-z

Cited by 38 publications

(18 citation statements)

References 143 publications

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“…Die Anwendung ist einfach, es lässt sich -je nach Produkt -eine "safezone" definieren, bei deren Verlassen eine Nachricht an den Caregiver gesandt wird und der Patient zu tracken ist. Einen guten Überblick über die am Markt erhältlichen Systeme gibt es bei Ray et al [3].…”

Section: Tracking Systemeunclassified

“…In den letzten Jahren entstand ein eigener Industriezweig der Wearables -Sensoren und Tracker -für viele Bereichen des Alltags und der Freizeit: Schrittzähler, Fitness-Tracker, oder Global Positioning System (GPS)-basierte Navigations-Apps [3], von Fitbit, Apple, Sony, Motorola oder Garmin. Diese Wearables sind derzeit zumeist als Fitnessprodukte im Handel, eine neue Sparte beschäftigt sich jedoch mit deren Einsatz bei Demenzerkrankungen [4], sowohl im medizinisch diagnostischen Bereich oder auch in der Alltagsunterstützung.…”

Section: Introductionunclassified

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Wearables bei Demenzerkrankungen

Pirker-Kees

Baumgartner

2021

Klinische Neurophysiologie

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ZusammenfassungDemenzerkrankungen führen durch den schleichenden Abbau kognitiver, sozialer und emotionaler Fähigkeiten, auch zu einem Verlust von Autonomie und Selbstbestimmtheit. Wearables sind am Körper getragene Sensoren: Akzelerometer und GPS-Tracker sind im Freizeit- und Fitnessbereich allgegenwärtig – sie zeichnen Bewegungs- und Positionsdaten auf. Das Potenzial, diese bei Demenzpatienten einzusetzen ist groß und wird intensiv beforscht. Wearables sind tlw. auch am Markt erhältlich (bspw. GPS-Tracker in Schuhsohlen). Informationen über Gangbild und Bewegungsdaten können auch Hinweise auf das Sturzrisiko, Verhaltensstörungen/Life-Events oder differenzialdiagnostische Aspekte geben. Trotz des großen Potenzials dürfen ethische Aspekte betreffend die Privatsphäre und den Datenschutz in der Entwicklung nicht außer Acht gelassen werden. Dieser Artikel gibt einen Überblick über die aktuelle Entwicklung von Wearables und damit verbundene ethische Aspekte.

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Section: Tracking Systemeunclassified

Section: Introductionunclassified

Wearables bei Demenzerkrankungen

Pirker-Kees

Baumgartner

2021

Klinische Neurophysiologie

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“…Notwithstanding the existence of these studies, other research and projects have demonstrated that, with the right approach to design considerations, this resistance could be reduced tremendously, leading to the adoption of wearable devices by PWDs [ 14 , 15 , 16 , 17 , 18 , 19 ]. For instance, studies have revealed that GPS-based wireless tracking devices, such as GPS Smart Sole, Freedom GPS Locator Watch, Safe-link, Mindme Locate, MXLOCareTM, iTraq3, and PocketFinder+, and others, such as Fitbit, Mi band, Oura ring, and Alice PDx, have been preferred and widely used by PWDs [ 20 ]. The wearable lullaby, a non-ambulatory device designed for PWDs to prevent them from waking up during the night and thereby disturbing the sleep of their caregivers, has also been introduced and adopted by several PWDs [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of Actual Use Behavior of Healthcare Wearable Devices on Quality of Life: A Cross-Sectional Survey of People with Dementia and Their Caregivers in Ghana

et al. 2022

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The increasing prevalence of dementia has necessitated the introduction and use of healthcare wearable devices to augment the healthcare services delivered to people with dementia (PWDs). Unfortunately, evidence on user feedback and the real impact of the actual use of these devices on the quality of life of PWDs has not been fully explored, especially in the context of developing countries. This study, therefore, seeks to evaluate the impact of actual use behavior (AUB) of healthcare wearable devices on the quality of life (QoL) of PWDs in Ghana by using constructs from the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and the SF-36 quality of life instrument. Data were collected from patients with dementia and, in some cases, caregivers (acting as proxies) in three administrative regions of Ghana using structured questionnaires. Of the 420 questionnaires distributed, 356 were returned, giving a response rate of (356/420, 84.8%). Three hundred and twenty (320) responses were used for further analysis, employing the Partial Least Squares based on Structural Equation Modeling. The results showed a significant positive relationship between AUB and QoL (p < 0.001). Other predictors such as behavioral intention, facilitating conditions, effort expectancy and social influence were also found to significantly impact the actual use behavior of healthcare wearable devices among PWDs. The study also revealed that 4% (14) of patients rated their reported health transition associated with the use of healthcare wearable devices as excellent, 42.5% (136) as very good, and 39.4% (126) as good, respectively at the time of the study compared to a year ago. This study provided empirical evidence of the positive impact of the actual use of healthcare wearable devices on the quality of life of PWDs and further highlighted the factors that drive actual use behavior among PWDs in Ghana. Based on the findings of this study, stakeholders need to create the necessary conditions that will facilitate the adoption and use of healthcare wearable devices, as this will help improve the quality of life, reduce the burden of the disease on caregivers, and enable independent living of PWDs.

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“…50,51 Millions of AI-and IoT-based medical devices (eg, sensors, actuators, smartphones, tablets, wearable devices, laptops, etc) are in use worldwide, with effective responses. 52 Its applications include patient's activity tracking systems, 53,54 monitoring physiological signals (eg, heart rate, electrocardiography, body temperature, position, and blood pressure), 55 observing environmental conditions 56 and object detection, 57,58 and many more. Still, there is no AI-and IoT-based solution available, which can facilitate precision medicine and clinical genomics research with detailed information about all available and actionable genes, somatic and germline mutations, and integrating ICD and NDC lists in an effective way.…”

Section: Introductionmentioning

confidence: 99%

Human gene and disease associations for clinical‐genomics and precision medicine research

Ahmed

Zeeshan

Mendhe

et al. 2020

Clinical & Translational Med

154

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We are entering the era of personalized medicine in which an individual's genetic makeup will eventually determine how a doctor can tailor his or her therapy. Therefore, it is becoming critical to understand the genetic basis of common diseases, for example, which genes predispose and rare genetic variants contribute to diseases, and so on. Our study focuses on helping researchers, medical practitioners, and pharmacists in having a broad view of genetic variants that may be implicated in the likelihood of developing certain diseases. Our focus here is to create a comprehensive database with mobile access to all available, authentic and actionable genes, SNPs, and classified diseases and drugs collected from different clinical and genomics databases worldwide, including Ensembl, GenCode, ClinVar, GeneCards, DISEASES, HGMD, OMIM, GTR, CNVD, Novoseek, Swiss‐Prot, LncRNADisease, Orphanet, GWAS Catalog, SwissVar, COSMIC, WHO, and FDA. We present a new cutting‐edge gene‐SNP‐disease‐drug mobile database with a smart phone application, integrating information about classified diseases and related genes, germline and somatic mutations, and drugs. Its database includes over 59 000 protein‐coding and noncoding genes; over 67 000 germline SNPs and over a million somatic mutations reported for over 19 000 protein‐coding genes located in over 1000 regions, published with over 3000 articles in over 415 journals available at the PUBMED; over 80 000 ICDs; over 123 000 NDCs; and over 100 000 classified gene‐SNP‐disease associations. We present an application that can provide new insights into the information about genetic basis of human complex diseases and contribute to assimilating genomic with phenotypic data for the availability of gene‐based designer drugs, precise targeting of molecular fingerprints for tumor, appropriate drug therapy, predicting individual susceptibility to disease, diagnosis, and treatment of rare illnesses are all a few of the many transformations expected in the decade to come.

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A Systematic Review and Implementation of IoT-Based Pervasive Sensor-Enabled Tracking System for Dementia Patients

Cited by 38 publications

References 143 publications

Wearables bei Demenzerkrankungen

Wearables bei Demenzerkrankungen

Impact of Actual Use Behavior of Healthcare Wearable Devices on Quality of Life: A Cross-Sectional Survey of People with Dementia and Their Caregivers in Ghana

Human gene and disease associations for clinical‐genomics and precision medicine research

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