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Pulse rhythm01:30

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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Population Digital Health: Continuous Health Monitoring and Profiling at Scale.

Naser Hossein Motlagh1, Agustin Zuniga1, Ngoc Thi Nguyen1

  • 1Department of Computer Science, University of Helsinki, PL 64 (Gustaf Hällströmin katu 2), Helsinki, 00014, Finland, 358 451707064.

Online Journal of Public Health Informatics
|November 20, 2024
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Summary
This summary is machine-generated.

Population digital health (PDH) uses IoT and wearable devices for continuous health monitoring. This approach enhances population health modeling by addressing data challenges and improving cost-effectiveness.

Keywords:
PDHcost-effectivenessdevicedigital healthequityhealth monitoringmachine learningmodeling, health datamonitoringnetworking infrastructurepopulation healthsensorwearable deviceswearables

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Area of Science:

  • Digital Health
  • Population Health Management
  • Internet of Things (IoT)

Background:

  • Traditional population health relies on clinical records and surveys.
  • Emerging digital health technologies offer new data sources.
  • Continuous monitoring and profiling of diseases are needed.

Purpose of the Study:

  • Introduce Population Digital Health (PDH) as an emerging research domain.
  • Explore PDH's potential for integrated, continuous health monitoring.
  • Contrast PDH with traditional population health approaches.

Main Methods:

  • Utilize health data from IoT and wearable devices.
  • Employ machine learning and ubiquitous computing for health modeling.
  • Address data inadequacy, sensor inaccuracy, and spatiotemporal sparsity.

Main Results:

  • Demonstrate PDH's capability through three case studies.
  • Showcase solutions for key PDH research challenges.
  • Highlight increased scale, coverage, equity, and cost-effectiveness of population health.

Conclusions:

  • PDH offers an integrated approach for population health modeling.
  • Discuss conditions, prerequisites, and barriers for PDH adoption.
  • Emphasize the potential of digital health data for public health insights.