Publications

Photoplethysmogram peaks detection based on moving window integration and threshold for heart rate calculation on android smartphone

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Abstract: We present a photoplethysmogram peaks detection and heart rate calculation on android smartphone. Photoplethysmogram signal is obtained and extracted from a video stream of fingertip that is taken from smartphone camera. Then, photoplethysmogram peak is detected based on moving window integration and threshold. The heart rate value is calculated from the detected peak. We … Read more

Drowsiness detection using radial basis function network with electrocardiographic RR interval statistical feature

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Drowsiness detection is important since its strong relation with traffic accident. A study for drowsiness level detection using Artificial Neural Network (ANN) method has been conducted. It utilizes electrocardigraphic RR interval statistical features and Radial Basis Function Artificial Neural Network or RBF Network as classifier. Drowsiness levels are defined by Karonlinska Sleep Scale (KSS) which … Read more

Drowsiness detection using heart rate variability analysis based on microcontroller unit

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Drowsiness is one of the main cause of road accidents. Recently, drowsiness detection of driver based on biosignal like electrocardiogram is being studied. Alterations during drowsiness, fatigue, and stress of the driver can be obtained from heart rate variability (HRV). HRV is derived from interval of RR in electrocardiogram. In this article, we present drowsiness … Read more