Cited by 298Mental Health Research TopicsMobile Crowdsensing and CrowdsourcingEmotion and Mood Recognition

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The Science of Real-Time Data Capture: Self-Reports in Health Research

·2007

DOI 10.1093/oso/9780195178715.001.0001

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Abstract

The set of techniques known collectively as real-time data capture (RTDC) is becoming increasingly important in medical research. Based on the collection of data in people's typical environments, RTDC is primarily used with self-reported data, such as medical symptoms and psychological states. Now, its guiding principles and supporting technologies also provide a framework for scientists to monitor physiological information such as heart rate, blood pressure, and skin conductance. This volume gives the most complete view yet of the state of RTDC science and its potential for use across the health and behavioural sciences.

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Publisher: Oxford University PressNew York, NY
Published: 2007-04-19
DOI: 10.1093/oso/9780195178715.001.0001
OpenAlex: W4388333893
Cited by: 298
References: 0
Citations by year: 2026: 16 · 2025: 16 · 2024: 17 · 2023: 17 · 2022: 16 · 2021: 16 · 2020: 21 · 2019: 20 · 2018: 11 · 2017: 25 · 2016: 25 · 2015: 17 · 2014: 15 · 2013: 10 · 2012: 8
FWCI: 9.24
Type: book
Language: en
Open access: closed
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Keywords: real-time data acquisition, ecological momentary assessment, self-reported data, physiological monitoring, heart rate, blood pressure, skin conductance, clinical symptoms, psychological state, health sciences, behavioral science

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The Science of Real-Time Data Capture: Self-Reports in Health Research

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