Mailing Address: Marcos Antonio Almeida Santos • Avenida Gonçalo Prado Rollemberg, 211, sala 210, São José. Postal Code 49010‐410, Aracaju, SE – Brazil. E‐mail: [email protected]; [email protected] Manuscript received October 09, 2014; revised manuscript November 13, 2014; accepted November 13, 2014.

In this paper, we are focused on a mobile human emotion recognition system which is based on biosignal. Cardio signal is a proper bio-signal for emotion recognition and we use photoplethysmography (PPG) sensors to gather cardio signals. We mainly consider real-time heart rate variability (HRV) analysis which is essential to mobile emotion recognition. A mobile sensor module embedding a digital ...

Heart-rate variability (HRV) is frequently introduced as mirroring imbalances within the autonomous nerve system. Many investigations are based on the paradigm that increased sympathetic tone is associated with decreased parasympathetic tone and vice versa. But HRV is probably more than an indicator for probable disturbances in the autonomous system. Some perturbations trigger not reciprocal, b...

The problem of analyzing heart rate variability in the presence of ectopic beats is revisited. Based on the IPFM model and the closely related heart timing signal, a new technique is introduced which corrects for the occasional presence of such beats. The correction technique, which involves the occurrence times of a certain number of beats preceding the ectopic, is computationally very efficie...

OBJECTIVE The objective of this study is to compare the fast Walsh transform with autoregressive method for spectral analysis of heart rate variability signals based on evaluating the quantitative and dynamic differences between the results of Walsh and autoregressive analysis of heart rate variability signals for healthy patients and diabetic patients who have suffered from diabetes more than ...

The matched filter was used to detect different signal features on an human heart electrocardiogram signal. The waveform features of interest were the QRS Complex, the R-R intervals, and the ST segments of four different electrocardiogram signals. The detection of the QRS Complex and the R-R interval were compared for accuracy and used in determining the length of the heart beat interval which ...