ORIGINAL RESEARCH article
Front. Neuroergonomics
Sec. Consumer Neuroergonomics
Volume 6 - 2025 | doi: 10.3389/fnrgo.2025.1585469
Validation of the EmotiBit Wearable Sensor for Heart-Based Measures Under Varying Workload Conditions
Provisionally accepted- 1University of Stuttgart, Stuttgart, Baden-Württemberg, Germany
- 2Applied Neurocognitive Systems, Institute of Human Factors and Technology Management, University of Stuttgart, Stuttgart, Baden-Württemberg, Germany
- 3Applied Neurocognitive Systems, Fraunhofer Institute for Industrial Engineering, Stuttgart, Baden-Württemberg, Germany
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Introduction. The EmotiBit photoplethysmography (PPG) device allows user-owned data collection for measures of cardiovascular activity (CVA) and electrodermal activity (EDA) in naturalistic settings. The aim of this study was to evaluate the validity of this device for collecting high-quality data while participants experience varying levels of cognitive workload.Methods. Using a standardized criterion validity protocol, recordings of 15 participants performing a cognitive workload task were compared for the EmotiBit and a reference electrocardiography (ECG) device (BITalino PsychoBit). Multiple preprocessing pipelines and a signal quality check were implemented. Parameters of interest including heart rate (HR), heart rate variability (HRV) measures, skin conductance level (SCL), and skin conductance response (SCR) measures were assessed using Bland-Altman plot and ratio (BAr) analyses, as well as cross-correlations of the EDA signal time series of both devices.difference of 1-2 beats per minute. HRV measures yielded an insufficient BAr, albeit most data points lay within a priori boundaries of agreement. EDA measures yielded insufficient agreement for comparing SCL and SCR number and amplitude.Discussion. The results are comparable to the validation of similar wearable PPG devices and extend the validation of the EmotiBit by assessing the acquired signals during varying levels of cognitive workload. While the device may be used to collect HR for scientific data analysis, its quality regarding HRV and EDA measures is not comparable to a standard ECG.Significance. This study provides the first systematic validation following a standardized protocol of the EmotiBit PPG device relative to an ECG when considering recordings collected during cognitive workload induction.
Keywords: Photoplethysmography, Electrocardiography, Electrodermal activity, Heart Rate, Skin conductance, cognitive workload
Received: 28 Feb 2025; Accepted: 20 May 2025.
Copyright: © 2025 Vorreuther, Tagalidou and Vukelić. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Anna Vorreuther, University of Stuttgart, Stuttgart, 70049, Baden-Württemberg, Germany
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