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Heart Rate Variability Analysis With Wearable Devices: Influence of Artifact Correction Method on Classification Accuracy for Emotion Recognition.

, , , and . I2MTC, page 1-6. IEEE, (2021)

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Learning classifiers for analysis of Blood Volume Pulse signals in IoT-enabled systems., , , and . MetroInd4.0&IoT, page 307-312. IEEE, (2021)Wearable Devices and Diagnostic Apps: Beyond the Borders of Traditional Medicine, But What About Their Accuracy and Reliability?, , and . IEEE Instrum. Meas. Mag., 24 (6): 89-94 (2021)Bioimpedance Measurement in Dentistry: Detection of Inflamed Tissues., , , , and . Sensors, volume 431 of Lecture Notes in Electrical Engineering, page 286-293. Springer, (2016)What is my heart rate right now? Comparing data from different devices., , , , and . I2MTC, page 1-6. IEEE, (2022)Editorial: Wearable sensors for the measurement of physiological signals: what about their measurement uncertainty?, , and . Frontiers Digit. Health, (2024)A novel approach for features extraction in physiological signals., , , , , and . MeMeA, page 380-385. IEEE, (2015)Derived Non-contact Continuous Recording of Blood Pressure Pulse Waveform by Means of Vibrocardiography., , , , and . Sensors, volume 431 of Lecture Notes in Electrical Engineering, page 365-372. Springer, (2016)Heart Rate Variability Analysis With Wearable Devices: Influence of Artifact Correction Method on Classification Accuracy for Emotion Recognition., , , and . I2MTC, page 1-6. IEEE, (2021)Indirect measurement of the carotid arterial pressure from vibrocardiographic signal: Calibration of the waveform and comparison with photoplethysmographic signal., , , , and . EMBC, page 3568-3571. IEEE, (2016)The measurement of blood pressure without contact: An LDV-based technique., , , , and . MeMeA, page 245-250. IEEE, (2017)