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Empatica Inc physiological signals empatica e4 wristband
Physiological Signals Empatica E4 Wristband, 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
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Average 90 stars, based on 1 article reviews
physiological signals empatica e4 wristband - by Bioz Stars, 2026-06
90/100 stars

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Empatica Inc physiological signals empatica e4 wristband
Physiological Signals Empatica E4 Wristband, 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/physiological signals empatica e4 wristband/product/Empatica Inc
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Industry Standard Physiological Measurement Wrist Wearable Empatica E4 Model, 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
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Integrated System for Monitoring Air Quality, Physiology and Wellbeing: The Enviro-IoT system combines air quality sensors, the E4 Empatica wearable, and a smartphone app to track environmental factors, physiological data and self-reported user wellbeing.

Journal: Data in Brief

Article Title: DigitalExposome: A dataset for wellbeing classification using environmental air quality and human physiological data

doi: 10.1016/j.dib.2025.111442

Figure Lengend Snippet: Integrated System for Monitoring Air Quality, Physiology and Wellbeing: The Enviro-IoT system combines air quality sensors, the E4 Empatica wearable, and a smartphone app to track environmental factors, physiological data and self-reported user wellbeing.

Article Snippet: Data for the study was collected using three devices as depicted in which involved a custom-build environmental air quality monitoring station (Enviro-IoT), industry standard physiological measurement wrist wearable (Empatica E4 model) and a self-report custom-developed mobile application.

Techniques:

Journal: Data in Brief

Article Title: DigitalExposome: A dataset for wellbeing classification using environmental air quality and human physiological data

doi: 10.1016/j.dib.2025.111442

Figure Lengend Snippet:

Article Snippet: Data for the study was collected using three devices as depicted in which involved a custom-build environmental air quality monitoring station (Enviro-IoT), industry standard physiological measurement wrist wearable (Empatica E4 model) and a self-report custom-developed mobile application.

Techniques: