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e3-a wearable wireless multi-sensor device  (Empatica Inc)

 
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    Structured Review

    Empatica Inc e3-a wearable wireless multi-sensor device
    E3 A Wearable Wireless Multi Sensor Device, supplied by Empatica Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/e3-a wearable wireless multi-sensor device/product/Empatica Inc
    Average 90 stars, based on 1 article reviews
    e3-a wearable wireless multi-sensor device - by Bioz Stars, 2026-04
    90/100 stars

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    Characterization of wearable technology used in selected papers.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Hardware for Recognition of Human Activities: A Review of Smart Home and AAL Related Technologies

    doi: 10.3390/s20154227

    Figure Lengend Snippet: Characterization of wearable technology used in selected papers.

    Article Snippet: Google Glass-based + Head tracking device + Empatica E3 sensor armband , SmartGlass + smart band , IMU + Audio + Video , Head + Arm , Electronic components + Smartphone + Video , Generic AR applications , Elderly , X , X , [ ] .

    Techniques: Activity Assay

    Specifications of the E3, emWave Pro, and BioPatch Sensors

    Journal: Journal of Cognitive Engineering and Decision Making

    Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments

    doi: 10.1177/1555343417716040

    Figure Lengend Snippet: Specifications of the E3, emWave Pro, and BioPatch Sensors

    Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the E3 from Empatica and the emWave Pro from HeartMath.

    Techniques: Sampling, Software, Extraction

    E3 wristband from Empatica.

    Journal: Journal of Cognitive Engineering and Decision Making

    Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments

    doi: 10.1177/1555343417716040

    Figure Lengend Snippet: E3 wristband from Empatica.

    Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the E3 from Empatica and the emWave Pro from HeartMath.

    Techniques:

    Heart Rate Variability Parameters for the E3, emWave, and BioPatch for Phases 1–4 (Mean ± SD )

    Journal: Journal of Cognitive Engineering and Decision Making

    Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments

    doi: 10.1177/1555343417716040

    Figure Lengend Snippet: Heart Rate Variability Parameters for the E3, emWave, and BioPatch for Phases 1–4 (Mean ± SD )

    Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the E3 from Empatica and the emWave Pro from HeartMath.

    Techniques:

    Heart Rate Variability Parameters for the E3, emWave, and BioPatch for Phases 6–8 (Mean ± SD )

    Journal: Journal of Cognitive Engineering and Decision Making

    Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments

    doi: 10.1177/1555343417716040

    Figure Lengend Snippet: Heart Rate Variability Parameters for the E3, emWave, and BioPatch for Phases 6–8 (Mean ± SD )

    Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the E3 from Empatica and the emWave Pro from HeartMath.

    Techniques:

    Mean difference between R-wave occurrence times (RR) with standard deviations of the E3, emWave (eW), and BioPatch (BP) in each phase (P).

    Journal: Journal of Cognitive Engineering and Decision Making

    Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments

    doi: 10.1177/1555343417716040

    Figure Lengend Snippet: Mean difference between R-wave occurrence times (RR) with standard deviations of the E3, emWave (eW), and BioPatch (BP) in each phase (P).

    Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the E3 from Empatica and the emWave Pro from HeartMath.

    Techniques:

    Normalized lower-frequency (LF) values with standard deviations of the E3, emWave (eW), and BioPatch (BP) in each phase (P).

    Journal: Journal of Cognitive Engineering and Decision Making

    Article Title: Measuring Mental Workload With Low-Cost and Wearable Sensors: Insights Into the Accuracy, Obtrusiveness, and Research Usability of Three Instruments

    doi: 10.1177/1555343417716040

    Figure Lengend Snippet: Normalized lower-frequency (LF) values with standard deviations of the E3, emWave (eW), and BioPatch (BP) in each phase (P).

    Article Snippet: Two sensors were assessed on their accuracy as tools to measure mental workload through heart rate variability (HRV): the E3 from Empatica and the emWave Pro from HeartMath.

    Techniques: