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Conference Paper/Proceeding/Abstract 327 views 95 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

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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
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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
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hierarchy_parent_id facultyofscienceandengineering
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published_date 2024-08-14T05:22:35Z
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