No Cover Image

Conference Paper/Proceeding/Abstract 27 views 8 downloads

Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly

Daniele Cafolla Orcid Logo

Lecture Notes in Computer Science, Volume: 14975, Pages: 185 - 197

Swansea University Author: Daniele Cafolla Orcid Logo

  • Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly.pdf

    PDF | Accepted Manuscript

    Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).

    Download (612.02KB)

Check full text

DOI (Published version): 10.1007/978-3-031-67278-1_15

Published in: Lecture Notes in Computer Science
ISBN: 9783031672774 9783031672781
ISSN: 0302-9743 1611-3349
Published: Cham Springer Nature Switzerland 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67786
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-10-31T10:24:40Z
last_indexed 2024-10-31T10:24:40Z
id cronfa67786
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>67786</id><entry>2024-09-25</entry><title>Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly</title><swanseaauthors><author><sid>ac4feae4da44720e216ab2e0359e4ddb</sid><ORCID>0000-0002-5602-1519</ORCID><firstname>Daniele</firstname><surname>Cafolla</surname><name>Daniele Cafolla</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-09-25</date><deptcode>MACS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>Lecture Notes in Computer Science</journal><volume>14975</volume><journalNumber/><paginationStart>185</paginationStart><paginationEnd>197</paginationEnd><publisher>Springer Nature Switzerland</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783031672774</isbnPrint><isbnElectronic>9783031672781</isbnElectronic><issnPrint>0302-9743</issnPrint><issnElectronic>1611-3349</issnElectronic><keywords>Predictive Healthcare Analytics; Digital Health; Wearable Devices</keywords><publishedDay>14</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-08-14</publishedDate><doi>10.1007/978-3-031-67278-1_15</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders/><projectreference/><lastEdited>2024-10-31T12:22:47.3699557</lastEdited><Created>2024-09-25T16:28:06.1179903</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Daniele</firstname><surname>Cafolla</surname><orcid>0000-0002-5602-1519</orcid><order>1</order></author></authors><documents><document><filename>67786__32806__21fbbdf93166416b9a070a9897eb1ca6.pdf</filename><originalFilename>Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly.pdf</originalFilename><uploaded>2024-10-31T11:26:19.8062728</uploaded><type>Output</type><contentLength>626706</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><documentNotes>Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/deed.en</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 67786 2024-09-25 Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly ac4feae4da44720e216ab2e0359e4ddb 0000-0002-5602-1519 Daniele Cafolla Daniele Cafolla true false 2024-09-25 MACS Conference Paper/Proceeding/Abstract Lecture Notes in Computer Science 14975 185 197 Springer Nature Switzerland Cham 9783031672774 9783031672781 0302-9743 1611-3349 Predictive Healthcare Analytics; Digital Health; Wearable Devices 14 8 2024 2024-08-14 10.1007/978-3-031-67278-1_15 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required 2024-10-31T12:22:47.3699557 2024-09-25T16:28:06.1179903 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Daniele Cafolla 0000-0002-5602-1519 1 67786__32806__21fbbdf93166416b9a070a9897eb1ca6.pdf Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly.pdf 2024-10-31T11:26:19.8062728 Output 626706 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
spellingShingle Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
Daniele Cafolla
title_short Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
title_full Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
title_fullStr Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
title_full_unstemmed Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
title_sort Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
author_id_str_mv ac4feae4da44720e216ab2e0359e4ddb
author_id_fullname_str_mv ac4feae4da44720e216ab2e0359e4ddb_***_Daniele Cafolla
author Daniele Cafolla
author2 Daniele Cafolla
format Conference Paper/Proceeding/Abstract
container_title Lecture Notes in Computer Science
container_volume 14975
container_start_page 185
publishDate 2024
institution Swansea University
isbn 9783031672774
9783031672781
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-031-67278-1_15
publisher Springer Nature Switzerland
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2024-08-14T12:22:45Z
_version_ 1814432176802889728
score 11.036706

Similar Items