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A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders

Published: 30 December 2020 Publication History

Abstract

Cardiovascular disorders cause nearly one in three deaths in the United States. Short- and long-term care for these disorders is often determined in short-term settings. However, these decisions are made with minimal longitudinal and long-term data. To overcome this bias towards data from acute care settings, improved longitudinal monitoring for cardiovascular patients is needed. Longitudinal monitoring provides a more comprehensive picture of patient health, allowing for informed decision making. This work surveys sensing and machine learning in the field of remote health monitoring for cardiovascular disorders. We highlight three needs in the design of new smart health technologies: (1) need for sensing technologies that track longitudinal trends of the cardiovascular disorder despite infrequent, noisy, or missing data measurements; (2) need for new analytic techniques designed in a longitudinal, continual fashion to aid in the development of new risk prediction techniques and in tracking disease progression; and (3) need for personalized and interpretable machine learning techniques, allowing for advancements in clinical decision making. We highlight these needs based upon the current state of the art in smart health technologies and analytics. We then discuss opportunities in addressing these needs for development of smart health technologies for the field of cardiovascular disorders and care.

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cover image ACM Transactions on Computing for Healthcare
ACM Transactions on Computing for Healthcare  Volume 2, Issue 1
Special Issue on Wearable Technologies for Smart Health: Part 2 and Regular Papers
January 2021
204 pages
EISSN:2637-8051
DOI:10.1145/3446563
Issue’s Table of Contents
This work is licensed under a Creative Commons Attribution International 4.0 License.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 December 2020
Accepted: 01 August 2020
Revised: 01 July 2020
Received: 01 August 2019
Published in HEALTH Volume 2, Issue 1

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Author Tags

  1. Cardiovascular disease
  2. cardiovascular risk factors
  3. longitudinal monitoring
  4. patient analytics
  5. sensors
  6. smart health

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  • (2023)Assessment of a Functional Electromagnetic Compatibility Analysis of Near-Body Medical Devices Subject to Electromagnetic Field PerturbationElectronics10.3390/electronics1223478012:23(4780)Online publication date: 25-Nov-2023
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  • (2021)3D Printing Technology for Biomedical Practice: A ReviewJournal of Materials Engineering and Performance10.1007/s11665-021-05792-330:7(5342-5355)Online publication date: 26-Apr-2021

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