How to interpret psychology from heart rate variability?

Moharreri, Sadaf; Dabanloo, Nader Jafarnia; Parvaneh, Saman; Nasrabadi, Ali Motie

doi:10.1109/mecbme.2011.5752124

Cited by 17 publications

(24 citation statements)

References 13 publications

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“…HE surface ECG is the recorded potential difference between two electrodes placed on the surface of the skin at pre-de ned points [1]. The largest amplitude of a single cycle of the normal ECG is referred to as the R-wave manifesting the depolarization process of the ventricle [1].…”

Section: Introductionmentioning

confidence: 99%

“…The largest amplitude of a single cycle of the normal ECG is referred to as the R-wave manifesting the depolarization process of the ventricle [1]. The time between successive R-waves is referred to as an RR-interval.…”

Section: Introductionmentioning

confidence: 99%

“…The time between successive R-waves is referred to as an RR-interval. The variability in a series of RR intervals has been widely used as a measure of heart function which helps to identify patients at risk for a cardiovascular event or death [1]. Analysis of variations in this time series is known as heart rate variability (HRV) analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Heart rate variability (HRV) is a reliable re ection of the many physiological factors modulating the normal rhythm of the heart [1]. The analysis of HRV signal provides more valuable information for the physiological interpretation of heart rate fluctuations [1].…”

Section: Introductionmentioning

confidence: 99%

“…The analysis of HRV signal provides more valuable information for the physiological interpretation of heart rate fluctuations [1]. The importance of this signal needs more investigation of methods as aids to clinical evaluation.…”

Section: Introductionmentioning

confidence: 99%

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Designing the FPGA-based system for Triangle Phase space Mapping (TPSM) of heart rate variability (HRV) signal

Rezaei

Moharreri

Ghorshi

2015

2015 38th International Conference on Telecommunications and Signal Processing (TSP)

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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 designed hardware, after defining the number of samples in the input, we extract and analyses the Triangular Phase Space Mapping (TPSM), a novel method for representation of heart rate. The performance of the system was tested using MATLAB and validated based on the input signals.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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