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Low and high valence were induced in 20 male volunteers using two groups of pictures stimuli. Heart response was compared between two groups from RR series extracted from recorded ECG measurements. Mean heart rate and heart rate variability measures including time, frequency and Poincare domain were extracted. The results revealed that HRV triangular index, SDNN and SD2 were the only statistically...
There has been an increasing interest in telemonitoring thanks to the availability of new technologies for data transmission and processing with better performances and lower costs. In this paper, we try to develop and implement the HRV signal processing into a Field Programmable Gate Array (FPGA). The hardware implementing algorithm was developed in Verilog Hardware Description Language (HDL). In...
In this paper, Extended Parabolic Phase Space Mapping (EPPSM) is introduced. This mapping is a novel method for representation of heart rate which is obtained using RR interval time series signal consist of all the ordered pairs: (RRi,(RR̅ − RRi)2), i = 1, …, N − 1 where RR̅ is the mean of RR intervals. By analyzing the point's distribution in this map, we could estimate a two degree polynomial equation...
The current study analyzed heart rate variability in the frequency domain to study the effect of different colors on the autonomic nervous system and emotions induced by different colors. Sixteen female volunteers were presented with four different colors on a digital screen as a visual stimulus while the lead II of ECG was recorded. For assessment of induced emotion by colors, validated Self-Assessment...
In this paper, we try to develop and implement the HRV signal processing into a Field Programmable Gate Array (FPGA) for extracting this signals feature.
In this paper, we try to recognize and distinguish different groups of arrhythmia using novel features which have been obtained from the heart rate's phase space in recent years. For this purpose, we used Triangular Phase Space Mapping (TPSM) and Parabolic Phase Space Mapping (PPSM). For recognition, we used three groups of 15 subjects using the Physionet database (Arrhythmia, Congestive Heart Failure...
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