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Pulse rhythm

Pulse rhythm

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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Investigating Users' Attitudes Toward Automated Smartwatch Cardiac Arrest Detection: Cross-Sectional Survey Study.

Wisse M F van den Beuken¹, Hans van Schuppen^1,2, Derya Demirtas^3,4

¹Department of Anesthesiology, Amsterdam UMC, Amsterdam, Netherlands.

JMIR Human Factors

|July 26, 2024

Summary

Smartwatch technology shows promise for detecting out-of-hospital cardiac arrest (OHCA) and alerting emergency services. Most users are interested, but privacy and data protection concerns need addressing for optimal effectiveness.

Keywords:

acceptance adoption attitude attitudes automated cardiac arrest detection cardiac cardiology cross sectional digital health emergency emergency medicine experience experiences heart intent intention opinion out-of-hospital cardiac arrest perception perceptions perspective perspectives questionnaire questionnaires smartwatch survey surveys wearable wearables willingness

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Area of Science:

Biomedical Engineering
Digital Health
Public Health

Background:

Out-of-hospital cardiac arrest (OHCA) is a significant cause of mortality globally.
Rapid detection and emergency medical services (EMS) activation are critical for survival.
Smartwatch sensor technology offers potential for automated OHCA detection and faster EMS response.

Purpose of the Study:

To assess user perspectives on automated cardiac arrest detection using smartwatches.
To investigate attitudes towards continuous monitoring, privacy, and data protection.
To gather insights on user acceptance of this life-saving technology.

Main Methods:

Cross-sectional web-based survey conducted in the Netherlands.
Two participant groups: smartwatch consumers and patients at cardiac arrest risk.
Quantitative analysis of closed-ended questions and qualitative content analysis of open-ended responses.

Main Results:

High interest in automated cardiac arrest detection technology across both consumer (90.2%) and patient (89%) groups.
Over 75% of participants in both groups expressed willingness to use the technology.
Key concerns identified include privacy, data protection, reliability, and accessibility.

Conclusions:

Potential users show strong interest and positive attitudes towards smartwatch-based OHCA detection.
Addressing user concerns regarding privacy, data security, and reliability is crucial for technology adoption.
Optimizing acceptance and effectiveness requires careful consideration of identified user concerns during development and implementation.