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Published on: January 22, 2018
A standardized validity assessment protocol for physiological signals from wearable technology: Methodological
Hendrika G van Lier1, Marcel E Pieterse2, Ainara Garde3
1Department of Cognitive Psychology and Ergonomics, University of Twente, Enschede, The Netherlands. h.g.vanlier@utwente.nl.
A new protocol validates wearable sensors for ambulatory research. The E4 wearable device showed accuracy for heart rate and skin conductance under stress, confirming its utility.
Area of Science:
- Biomedical Engineering
- Physiological Measurement
- Wearable Technology
Background:
- Increasing use of wearable devices in ambulatory research necessitates standardized validation methods.
- Current validation approaches for novel sensing technology lack consensus, leading to inconsistent results.
- Existing methods are often unsuitable for assessing physiological signals from wearables.
Purpose of the Study:
- Introduce a comprehensive validity assessment protocol for physiological signals from wearable devices.
- Evaluate the validity of the E4 wearable device using the proposed three-level protocol.
- Establish a standardized framework for assessing the quality of wearable sensor data.
Main Methods:
- Developed a three-level validity assessment protocol: signal, parameter, and event levels.
- Utilized cross-correlation for signal-level validation.
- Employed Bland-Altman plots for parameter-level validation and event difference plots for event-level validation.
- Tested the E4 wearable device measuring electrodermal and cardiovascular activity.
Main Results:
- The E4 wearable demonstrated validity for heart rate, RMSSD, and SD at parameter and event levels.
- Total amplitude of skin conductance responses was valid at the event level during sustained stressors.
- Findings align with existing literature, supporting the protocol's applicability.
Conclusions:
- The proposed protocol offers a comprehensive, standardized, and feasible method for validating wearable sensor data.
- The E4 wearable is a valid tool for ambulatory research, particularly for heart rate and skin conductance measurements under stress.
- This work facilitates rigorous quality assessment of physiological data from emerging wearable technologies.
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