Chaos: making a new science
Discrete-time signal processing
Discrete-time signal processing
Nonlinear model for ECG R-R interval variation using genetic programming approach
Future Generation Computer Systems
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Arterial pulse waveform has useful information that can be adapted on finding fast heart rate algorithm through its nonlinear characteristics and the waveforms from multi channel can give faster and more accurate heart rate algorithm. In this work, we tried to find the relation between the arterial pulse waveform and heart rate through nonlinear characteristics analysis. We collected 3-channel arterial pulse waveforms as continuous signal inputs with our own arterial pulse inspector, analyzed the waveforms using nonlinear characteristics and tries to find the heart rate algorithm. Over 40 people's arterial pulse data, we show that nonlinear characteristics in the 3-channel arterial pulse waveform can help to find the heart rate sufficiently and easily be used on the heart rate analyzer.