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Accuracy comparison between two microcontroller-embedded R-wave detection methods for heart-rate variability analysis.

, , , , , , and . APSIPA, page 1010-1013. IEEE, (2015)

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Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability., , , , , , , , , and . Sensors, 20 (14): 3987 (2020)Accuracy comparison between two microcontroller-embedded R-wave detection methods for heart-rate variability analysis., , , , , , and . APSIPA, page 1010-1013. IEEE, (2015)Development of a wearable HRV telemetry system to be operated by non-experts in daily life., , , , , , , , , and . APSIPA, page 1-4. IEEE, (2013)Development of an epileptic seizure prediction algorithm using R-R intervals with self-attentive autoencoder., , , , , , , , , and 10 other author(s). Artif. Life Robotics, 28 (2): 403-409 (May 2023)Epileptic seizure monitoring by One-Class Support Vector Machine., , , , , , , , and . APSIPA, page 1-4. IEEE, (2014)Heart rate variability features for epilepsy seizure prediction., , , , , , , , , and 1 other author(s). APSIPA, page 1-4. IEEE, (2013)Real-time heart rate variability monitoring employing a wearable telemeter and a smartphone., , , , , and . APSIPA, page 1-4. IEEE, (2014)