Journal article Open Access
Marques, Maria; Lopes, Fábio; Costa, Ruben; Agostinho, Carlos; Oliveria, Pedro; Jardim-Gonçalves, Ricardo
{ "files": [ { "links": { "self": "https://zenodo.org/api/files/b1a6dcbe-0e03-4eb7-a061-57468f0acfff/IMECE2019.pdf" }, "checksum": "md5:cf9b89ea90307fee0afa144df6ecc1a9", "bucket": "b1a6dcbe-0e03-4eb7-a061-57468f0acfff", "key": "IMECE2019.pdf", "type": "pdf", "size": 2312377 } ], "owners": [ 87895 ], "doi": "10.5281/zenodo.3607455", "stats": { "version_unique_downloads": 214.0, "unique_views": 228.0, "views": 257.0, "version_views": 257.0, "unique_downloads": 214.0, "version_unique_views": 228.0, "volume": 524909579.0, "version_downloads": 227.0, "downloads": 227.0, "version_volume": 524909579.0 }, "links": { "doi": "https://doi.org/10.5281/zenodo.3607455", "conceptdoi": "https://doi.org/10.5281/zenodo.3607454", "bucket": "https://zenodo.org/api/files/b1a6dcbe-0e03-4eb7-a061-57468f0acfff", "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.3607454.svg", "html": "https://zenodo.org/record/3607455", "latest_html": "https://zenodo.org/record/3607455", "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.3607455.svg", "latest": "https://zenodo.org/api/records/3607455" }, "conceptdoi": "10.5281/zenodo.3607454", "created": "2020-01-14T16:47:10.773045+00:00", "updated": "2020-01-20T16:49:09.993037+00:00", "conceptrecid": "3607454", "revision": 3, "id": 3607455, "metadata": { "access_right_category": "success", "doi": "10.5281/zenodo.3607455", "version": "Submitted", "license": { "id": "CC-BY-4.0" }, "title": "Innovative product/service for personalized health management", "related_identifiers": [ { "scheme": "doi", "identifier": "10.5281/zenodo.3607454", "relation": "isVersionOf" } ], "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "3607454" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "3607455" } } ] }, "communities": [ { "id": "smart4health" } ], "grants": [ { "code": "826117", "links": { "self": "https://zenodo.org/api/grants/10.13039/501100000780::826117" }, "title": "Citizen-centred EU-EHR exchange for personalised health", "acronym": "Smart4Health", "program": "H2020", "funder": { "doi": "10.13039/501100000780", "acronyms": [], "name": "European Commission", "links": { "self": "https://zenodo.org/api/funders/10.13039/501100000780" } } } ], "keywords": [ "Digital health innovation", "Smart devices", "Data integration" ], "publication_date": "2019-11-27", "creators": [ { "affiliation": "CTS-UNINOVA", "name": "Marques, Maria" }, { "affiliation": "CTS-UNINOVA", "name": "Lopes, F\u00e1bio" }, { "affiliation": "CTS-UNINOVA, Knowledgebiz", "name": "Costa, Ruben" }, { "affiliation": "CTS-UNINOVA, Knowledgebiz", "name": "Agostinho, Carlos" }, { "affiliation": "Knowledgebiz", "name": "Oliveria, Pedro" }, { "affiliation": "FCT-NOVA, CTS-UNINOVA", "name": "Jardim-Gon\u00e7alves, Ricardo" } ], "access_right": "open", "resource_type": { "subtype": "article", "type": "publication", "title": "Journal article" }, "description": "<p>Smart4Health project is a European project aiming to empower citizens with electronic health(care) record exchange,<br>\npersonal connected health services, and the ability of data donorship to the scientific community. The Smart4Health<br>\nplatform will enable citizens to manage, collect, store, access and share own health and healthcare data, at international level,<br>\nthrough an easy-to-use, secure, constantly accessible and portable health data and services prototype within the EU and<br>\nbeyond. This shall also comprise self-quantified and citizengenerated data through IoT and wearables (e.g. smart watches,<br>\nsmart devices/textiles/shoes). Therefore, the citizen will not only be able to access data produced in the context of health systems,<br>\nbut become important contributor of health data more generally speaking. The information to be collected will feed the<br>\nSmart4Health platform (4HealthPlatform – 4HP), enabling the Smart4Health user portal (4HealthNavigator - 4HN) services<br>\nand applications to provide advanced personalised health services accessible whenever and wherever. In this paper we<br>\nexplore the work being developed for data integration coming from different smart devices aiming at enriching the citizen<br>\nhealth and personal data as well as providing insight about citizen behaviour and support on how to modify/adapt postures and habits that may contribute for better health and wellbeing.</p>" } }
All versions | This version | |
---|---|---|
Views | 257 | 257 |
Downloads | 227 | 227 |
Data volume | 524.9 MB | 524.9 MB |
Unique views | 228 | 228 |
Unique downloads | 214 | 214 |