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mHealth Technologies for Chronic Diseases and Elders: A Systematic Review

Giovanni Chiarini, Pradeep Ray, Shahriar Akter, Cristina Masella, Aura Ganz
2013 IEEE Journal on Selected Areas in Communications  
The findings of the study have major implications for information management and policy development in the context of the Millennium Development Goals (MDGs) related to healthcare in the world.  ...  mHealth (healthcare using mobile wireless technologies) has the potential to improve healthcare and the quality of life for elderly and chronic patients.  ...  [52] USA J Jog Falls X X Diabetes patients Jog Falls is an integrated system for diabetes management consisting of: wearable sensor devices responsible for collecting the physiological and activity  ... 
doi:10.1109/jsac.2013.sup.0513001 fatcat:q7ngxfeucfcc7fbqidtz6lwixy

The Design of a Cloud and Mobile Healthcare System

Yun-Ru Lin, Shou-Chih Lo
2016 International Journal of Communications, Network and System Sciences  
In this paper, a mobile healthcare system is implemented.  ...  The aging society will become a serious problem for most countries in the world. Under the constraint of limited medical resource, the self-health management becomes important.  ...  Disease Suitable exercises Diabetes swimming, jogging, running, cycling Heart disease swimming, jogging, cycling Hypertension swimming, jogging, cycling (a) (b)  ... 
doi:10.4236/ijcns.2016.95020 fatcat:cfxhyhygffcmhnrqjbvjlwtf7e

Self-Care Technologies in HCI

Francisco Nunes, Nervo Verdezoto, Geraldine Fitzpatrick, Morten Kyng, Erik Grönvall, Cristiano Storni
2015 ACM Transactions on Computer-Human Interaction  
We then draw out opportunities for advancing HCI research in self-care, namely, focusing further on patients' everyday life experience, considering existing collaborations in self-care, and increasing  ...  In this review, we focus on how patients and carers use and experience self-care technology through a Human-Computer Interaction (HCI) lens.  ...  ACKNOWLEDGMENTS We would like to thankÖzge Subasi, Eva Ganglbauer, and Florian Güldenpfennig for the insightful discussions we had while conducting the review.  ... 
doi:10.1145/2803173 fatcat:ozhpp5nvsbd5jjfmn7m2frw2ke

User Acceptance of Health Information Technology (HIT) in Developing Countries: A Conceptual Model

Abd Rahman Ahlan, Barroon Isma'eel Ahmad
2014 Procedia Technology - Elsevier  
Finally, a conceptual model of HIT acceptance in developing countries is proposed.  ...  Health Information Technology (HIT) has the potential to improve the quality, efficiency, outcomes, patient safety and reduce the cost of healthcare.  ...  For instance, Jog Falls [21] a diabetes management system using sensor devices (for collecting physiological and activity data) that monitors patient's physical activities, food intake, sets some goals  ... 
doi:10.1016/j.protcy.2014.10.145 fatcat:2arrxa73hjdfrf54hqi6lqrvfu

On Innovation, Quality of Life and Technology of BodyNets

Sungmee Park, Sundaresan Jayaraman
2008 Proceedings of the 3rd International ICST Conference on Body Area Networks  
Thus, together, management innovation and technology innovation have the potential to rapidly transform information processing, especially in healthcare, by successfully addressing the key challenges of  ...  Technology innovation is the key to enhancing the quality of life for everyone in the continuum of life from newborns to senior citizens.  ...  BodyNet in a Pervasive Healthcare Architecture BodyNet in the Healthcare Continuum: Figure 3 shows a schematic representation of such a system incorporating a BodyNet on the individual.  ... 
doi:10.4108/icst.bodynets2008.2979 dblp:conf/bodynets/ParkJ08 fatcat:b3nnplisnrg23aptgkbiq5n7ay

Mining of Sensor Data in Healthcare: A Survey [chapter]

Daby Sow, Deepak S. Turaga, Michael Schmidt
2012 Managing and Mining Sensor Data  
Historically, healthcare has been mainly provided in a reactive manner that limits its usefulness.  ...  It starts with a description of healthcare data mining challenges before presenting an overview of applications of data mining in both clinical and non clinical settings.  ...  the management of diabetic patients.  ... 
doi:10.1007/978-1-4614-6309-2_14 fatcat:abmsziig6vasxag76cid4zdolq

A survey on health monitoring systems for health smart homes

Haider Mshali, Tayeb Lemlouma, Maria Moloney, Damien Magoni
2018 International Journal of Industrial Ergonomics  
Health monitoring systems (HMS) in smart environments have evolved rapidly to become a viable alternative to traditional healthcare solutions.  ...  We review HMS in smart environments from a general perspective and with a particular focus on systems for the elderly and dependent people.  ...  The fall detection system, called PerFallD [186] , simply relies on mobile phones as a pervasive platform.  ... 
doi:10.1016/j.ergon.2018.02.002 fatcat:gwkfbryll5c4bntbu6qxm4cknq

Smartphone Sensors for Health Monitoring and Diagnosis

Sumit Majumder, M. Jamal Deen
2019 Sensors  
A discussion on regulatory policies for medical devices and their implications in smartphone-based healthcare systems is presented.  ...  However, most of these diseases can be avoided and/or properly managed through continuous monitoring.  ...  Other FDA approved healthcare apps for smartphones include the iExaminer™ (Welch Allyn, Inc.) adapter for PanOptic™ Ophthalmoscope [205] , BlueStar ® (WellDoc, Inc.) for type 2 diabetes management [206  ... 
doi:10.3390/s19092164 fatcat:5lex22tgevbwbj4on5nugg3a34

International Exercise Recommendations in Older Adults (ICFSR): Expert Consensus Guidelines

Mikel Izquierdo, R. A. Merchant, J. E. Morley, S. D. Anker, I. Aprahamian, H. Arai, M. Aubertin-Leheudre, R. Bernabei, E. L. Cadore, M. Cesari, L.-K. Chen, P. de Souto Barreto (+24 others)
2021 The Journal of Nutrition, Health & Aging  
management.  ...  Additionally, both structured exercise and overall PA play important roles as preventive strategies for many chronic diseases, including cardiovascular disease, stroke, diabetes, osteoporosis, and obesity  ...  , and potentially a high risk for falls and hip fracture.  ... 
doi:10.1007/s12603-021-1665-8 pmid:34409961 fatcat:6uj66bizozdk3h325ykkcpmcku

Privacy in mobile technology for personal healthcare

Sasikanth Avancha, Amit Baxi, David Kotz
2012 ACM Computing Surveys  
medical equipment and consumables, and telemedicine platforms for emergency response or remote rural healthcare.  ...  There are, of course, valuable uses of mobile technology in other aspects of healthcare delivery and management, including personal communication devices used by clinicians, inventorycontrol systems for  ...  ACKNOWLEDGMENTS Many thanks to colleagues at Intel and Dartmouth for their feedback and to the anonymous reviewers for their helpful suggestions.  ... 
doi:10.1145/2379776.2379779 fatcat:34xjhngd6ba3jic2tmuimnefry

The Future Internet convergence of IMS and ubiquitous smart environments: An IMS-based solution for energy efficiency

Paolo Bellavista, Giuseppe Cardone, Antonio Corradi, Luca Foschini
2012 Journal of Network and Computer Applications  
, together with a direction for the design and deployment of future Pervasive Sensing applications.  ...  The push from academia and industry for this kind of services shows that time is mature for a more general support framework for Pervasive Sensing solutions able to enhance frail architectures, promote  ...  About healthcare, PerFallID uses accelerometer data to detect user falls via a simple classification stage based on a threshold whose value is dynamically adjusted by using data collected from real users  ... 
doi:10.1016/j.jnca.2011.05.003 fatcat:3iprgfdvmjfxxey67qtflilnri

Mining Electronic Health Records (EHRs)

Pranjul Yadav, Michael Steinbach, Vipin Kumar, Gyorgy Simon
2018 ACM Computing Surveys  
Mining EHRs could lead to improvement in patient healthcare management as EHRs contain detailed information related to disease prognosis for large patient populations.  ...  We conclude with a case study of patients diagnosed with Type 2 diabetes mellitus (T2DM).  ...  Such adverse drug reactions can prove fatal to patients and can also have a significant impact on healthcare management.  ... 
doi:10.1145/3127881 fatcat:xil7qev3xbf3pmfv5vtak4f2jq

The Elderly's Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development

Qin Ni, Ana García Hernando, Iván de la Cruz
2015 Sensors  
independent living, as well as their characterization and formalized context representation; second, we perform a classification of sensors and data processing methods that are suitable for the detection  ...  Most works in this area use the concept of "activity" as the building block with which to construct applications such as healthcare monitoring or ambient assisted living.  ...  Acknowledgments Authors would like to thank the Department of Telematic and Electronic Engineering (DTE), of Universidad Politécnica de Madrid, for its support to the open access publication of this research  ... 
doi:10.3390/s150511312 pmid:26007717 pmcid:PMC4481963 fatcat:uli7lirjr5eddfydmfdscblljy

ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors

Sakorn Mekruksavanich, Anuchit Jitpattanakul, Kanokwan Sitthithakerngkiet, Phichai Youplao, Preecha Yupapin
2022 IEEE Access  
Additional attention was incorporated in the system by using a squeeze-and-excite mechanism.  ...  To address the problems pertaining to complex HAR, a deep neural network composed of convolutional layers and residual networks was developed in this work.  ...  sleeping or in the event of a fall.  ... 
doi:10.1109/access.2022.3174124 fatcat:7pesgbxcd5a5rbhh4ptriccxty

Human Data Model

Niko Mäkitalo, Daniel Flores-Martin, Huber Flores, Eemil Lagerspetz, Francois Christophe, Petri Ihantola, Masiar Babazadeh, Pan Hui, Juan Manuel Murillo, Sasu Tarkoma, Tommi Mikkonen
2020 ACM Transactions on Computing for Healthcare  
Such data has plenty of potential for entirely new types of software applications as well as for improving old applications, in particular in the domain of smart healthcare.  ...  As a whole, the paper is inspired by a number of interviews with professionals, and an online survey among healthcare and education professionals, where the results show that the interviewed subjects almost  ...  system designed for distributed server architectures -Static resource allocation Health Market Science (https://risk.lexisnexis.com/ healthcare/) -Platform that provides data man- agement as a  ... 
doi:10.1145/3402524 fatcat:a5iuatzuuvfy5kze5alqo7zxfm
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