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Pulse rhythm01:30

Pulse rhythm

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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.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Related Experiment Video

Updated: May 13, 2025

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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Rest-Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and

I-Ming Chen1,2, Chen Lin3, Guan-Jie She4

  • 1Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.

Depression and Anxiety
|April 14, 2025
PubMed
Summary

This study identified three distinct rest-activity rhythm (RAR) patterns using actigraphy and a smartphone app. Irregular RAR patterns were linked to increased depression severity and obesity.

Keywords:
actigraphycircadian rhythmdepressiondigital phenotypinghuman–smartphone interactionobesity

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Area of Science:

  • Chronobiology
  • Digital Health
  • Psychiatry

Background:

  • Circadian rhythm disruptions are linked to various health issues.
  • Traditional actigraphy may not fully capture complex rest-activity patterns.
  • Mobile apps offer novel ways to monitor circadian rhythms.

Purpose of the Study:

  • To identify subgroups based on combined actigraphy and app-measured rest-activity rhythm (RAR) patterns.
  • To investigate the association between these RAR profiles and health outcomes like depression and obesity.

Main Methods:

  • Developed the 'Rhythm' mobile app to record human-smartphone interactions.
  • Collected data from 135 participants using wrist actigraphy and the Rhythm app for at least 4 weeks.
  • Employed person-centered clustering to define RAR subgroups and multivariable regression to assess health associations.

Main Results:

  • Identified three RAR subgroups: 'earlier', 'later', and 'irregular'.
  • The 'earlier' group showed lower depressive symptom severity.
  • The 'irregular' group, with desynchronized patterns, was associated with higher depressive symptom severity and BMI.

Conclusions:

  • Human-smartphone interaction data complements actigraphy for comprehensive circadian rhythm assessment.
  • Distinct RAR profiles are associated with mental and physical health outcomes.
  • Understanding RAR patterns can improve insights into circadian disruption and health.