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Using Smartphone Bases Biodevices for Analyzing Physiological, Psychological and Behavioral User's Habits.

, , , , , and . BIODEVICES, page 243-248. SciTePress, (2013)

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A non-contact camera-based method for respiratory rhythm extraction., , , , , and . Biomed. Signal Process. Control., (2021)Using Smartphone Bases Biodevices for Analyzing Physiological, Psychological and Behavioral User's Habits., , , , , and . BIODEVICES, page 243-248. SciTePress, (2013)Drowsiness detection by thoracic effort signal analysis in real driving environments., , , and . EMBC, page 6055-6058. IEEE, (2011)The effect of electrocardiographic lead choice on RR time series., , and . EMBC, page 1933-1936. IEEE, (2011)Contactless Electrical Bioimpedance System for Monitoring Ventilation - A Biodevice for Vehicle Environment., , , , and . BIODEVICES, page 14-20. SciTePress, (2013)Real time heart rate variability assessment from Android smartphone camera photoplethysmography: Postural and device influences., , , , and . EMBC, page 7332-7335. IEEE, (2015)Heart rate variability analysis using a seismocardiogram signal., , , , , , and . EMBC, page 5642-5645. IEEE, (2012)Non-Contact Infrared-Depth Camera-Based Method for Respiratory Rhythm Measurement While Driving., , , , and . IEEE Access, (2019)Drowsiness Detection by Electrooculogram Signal Analysis in Driving Simulator Conditions for Gold Standard Signal Generation., , , , and . BIODEVICES, page 57-63. SciTePress, (2013)Gold Standard Generation Using Electrooculogram Signal for Drowsiness Detection in Simulator Conditions., , , , and . BIOSTEC (Selected Papers), volume 452 of Communications in Computer and Information Science, page 74-88. Springer, (2013)