Capturing and Analyzing Pervasive Data for SmartHealth

Ng, Joseph Kee‐Yin; Wang, Jiantao; Lam, Kam-Yiu; Kam, Calvin Ho Chuen; Han, Song

doi:10.1109/aina.2014.119

Cited by 9 publications

(9 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Two other studies developed their monitoring solution including a recommendation system to support patients with depression to cope with their diagnosis [59,60]. Mental health systems have also been used as a tool by caregivers to access the summary of situations experienced by patients with depression [61] or to alert physicians and families if an abnormal behavior is detected in patients with mood disorders [62].…”

Section: Resultsmentioning

confidence: 99%

“…In fact, 4 studies aimed to monitor health conditions related to a specific disease, such as detecting sleep abnormalities in patients with schizophrenia or hand tremors in those with Parkinson disease, and another 12 opted to use smartphones to sense users’ daily lives to improve their general health and well-being. Among the studies that targeted a specific population, 6.9% (8/118) were on monitoring students’ lives [64,69,87,88,90,92-94] and 27.1% (33/118) on people with mental health conditions, such as depression or schizophrenia [55,60-62,75]. Senior population and workers were targeted by 3 studies each [1,3,9,30,35,69].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations

Trifan

Oliveira

2019

JMIR Mhealth Uhealth

118

View full text Add to dashboard Cite

Background Technological advancements, together with the decrease in both price and size of a large variety of sensors, has expanded the role and capabilities of regular mobile phones, turning them into powerful yet ubiquitous monitoring systems. At present, smartphones have the potential to continuously collect information about the users, monitor their activities and behaviors in real time, and provide them with feedback and recommendations. Objective This systematic review aimed to identify recent scientific studies that explored the passive use of smartphones for generating health- and well-being–related outcomes. In addition, it explores users’ engagement and possible challenges in using such self-monitoring systems. Methods A systematic review was conducted, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, to identify recent publications that explore the use of smartphones as ubiquitous health monitoring systems. We ran reproducible search queries on PubMed, IEEE Xplore, ACM Digital Library, and Scopus online databases and aimed to find answers to the following questions: (1) What is the study focus of the selected papers? (2) What smartphone sensing technologies and data are used to gather health-related input? (3) How are the developed systems validated? and (4) What are the limitations and challenges when using such sensing systems? Results Our bibliographic research returned 7404 unique publications. Of these, 118 met the predefined inclusion criteria, which considered publication dates from 2014 onward, English language, and relevance for the topic of this review. The selected papers highlight that smartphones are already being used in multiple health-related scenarios. Of those, physical activity (29.6%; 35/118) and mental health (27.9; 33/118) are 2 of the most studied applications. Accelerometers (57.7%; 67/118) and global positioning systems (GPS; 40.6%; 48/118) are 2 of the most used sensors in smartphones for collecting data from which the health status or well-being of its users can be inferred. Conclusions One relevant outcome of this systematic review is that although smartphones present many advantages for the passive monitoring of users’ health and well-being, there is a lack of correlation between smartphone-generated outcomes and clinical knowledge. Moreover, user engagement and motivation are not always modeled as prerequisites, which directly affects user adherence and full validation of such systems.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations

Trifan

Oliveira

2019

JMIR Mhealth Uhealth

118

View full text Add to dashboard Cite

show abstract

“…O SmartMood [5] se enquadra como um dos principais trabalhos pois se baseia em localização via GPS, número de passos, análise do sono e controle de chamadas para detectar os sintomas da doença e ajudar o paciente. Um ponto bem interessante deste trabalho é o envio de avisos no momento da detecção dos sintomas.…”

Section: Trabalhos Relacionadosunclassified

“…Um ponto bem interessante deste trabalho é o envio de avisos no momento da detecção dos sintomas. O SmartMood é um aplicativo para smartphone baseado em uma ferramenta chamada SmartHealth [5] que trabalha e analisa os dados do usuário.…”

Section: Trabalhos Relacionadosunclassified

Hígia: Um modelo para cuidado ubíquo de pessoas com depressão

Petry

Barbosa

Rigo

et al. 2016

Anais Do Simpósio Brasileiro De Sistemas De Informação (SBSI)

View full text Add to dashboard Cite

Este artigo apresenta Hígia, que tem como objetivo constituir trilhas usuais para identificar possíveis sinais depressivos semelhantes aos vividos em momentos anteriores pelo usuário e avisar pessoas vinculadas ao mesmo o quanto antes, a fim de que providências possam ser tomadas. Isso é feito através da avaliação constante de características do usuário em redes sociais, e-mails e interações com o smartphone, o computador ou outros dispositivos, além de sua localização. Foi implementado um protótipo da solução desenhada. Foram avaliados os usuários que utilizaram o protótipo e suas opiniões, bem como a opinião de especialistas da área e foi constatado que estes dados podem ser sim favoráveis ao tratamento dependendo da situação e da forma como são utilizados.

show abstract

“…8 There is growing evidence that the benefits and importance of PH are worth the effort and are beyond argument. 9,10 The major benefits include its pervasive and assistive technology nature, self-management of conditions, remote monitoring, high-quality health assessment and medical service, and a significant reduction in escalating the cost of healthcare. Besides all these benefits, the patients can lead a normal life at their own convenience.…”

Section: Introductionmentioning

confidence: 99%

Pervasive mobile healthcare systems for chronic disease monitoring

Huzooree¹,

Khedo

Joonas

2017

Health Informatics J

View full text Add to dashboard Cite

Pervasive mobile healthcare system has the potential to improve healthcare and the quality of life of chronic disease patients through continuous monitoring. Recently, many articles related to pervasive mobile healthcare system focusing on health monitoring using wireless technologies have been published. The main aim of this review is to evaluate the state-of-the-art pervasive mobile healthcare systems to identify major technical requirements and design challenges associated with the realization of a pervasive mobile healthcare system. A systematic literature review was conducted over IEEE Xplore Digital Library to evaluate 20 pervasive mobile healthcare systems out of 683 articles from 2011 to 2016. The classification of the pervasive mobile healthcare systems and other important factors are discussed. Potential opportunities and challenges are pointed out for the further deployment of effective pervasive mobile healthcare systems. This article helps researchers in health informatics to have a holistic view toward understanding pervasive mobile healthcare systems and points out new technological trends and design challenges that researchers have to consider when designing such systems for better adoption, usability, and seamless integration.

show abstract

Capturing and Analyzing Pervasive Data for SmartHealth

Cited by 9 publications

References 24 publications

Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations

Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations

Hígia: Um modelo para cuidado ubíquo de pessoas com depressão

Pervasive mobile healthcare systems for chronic disease monitoring

Contact Info

Product

Resources

About