We made our own DFA (detrended fluctuation analysis) program. We applied it for checking characteristics for the heartbeat of various individuals. Healthy subjects showed a normal scaling exponent, which is near 1.0 (ranging 0.9 to 1.19 in our own temporary guideline). This is in agreement with the original report by Peng et al. long time ago. In the present study, we investigated the person who has an extra-systole heartbeat, and revealed that their arrhythmic heartbeat exhibited a low scaling exponent (around 0.7). Alternans, which is the heart beating in period-2 rhythms, exhibited a much low scaling exponent (around 0.6). We may conclude that if it would be possible to make a device that equips a DFA program, it might be useful to check...
Chaos and fractal based measurements, such as Detrended Fluctuation Analysis (DFA), have been widely...
Fluctuation or variation of the heartbeat represents momently varying inner emotional tension. Can t...
Considering the highly nonlinear and non stationary features of the ECG signal proven by latest rese...
We analyzed heartbeat-intervals by using our own program of detrended fluctuation analysis (DFA). "A...
Well-established technologies to analyze biological signals including rhythmic heartbeat are availab...
We analyzed the heartbeat interval to test the possibility that the detrended fluctuation analysis (...
We analyzed the heartbeat interval by the detrended fluctuation analysis (DFA) in models and humans....
We analyzed the heartbeat interval by the detrended fluctuation analysis (DFA) in models and humans....
How to quantify the complexity of a physiological signal is a crucial issue for verifying the underl...
The fractal structure of heart rate is usually quantified by estimating a short-term ( inverted ques...
Stress has not been fully defined in terms of neuroscience. But, it might be possible to quantify it...
Detrended fluctuation analysis (DFA) has been shown to be a useful tool for diagnosis of patients wi...
We present several recent studies based on statistical physics concepts that can be used as diagnost...
The aim of this study was to make a method for an early detection of malfunction, e.g., abnormal vib...
Detrended fluctuation analysis (DFA), suitable for the analysis of nonstationary time series, has co...
Chaos and fractal based measurements, such as Detrended Fluctuation Analysis (DFA), have been widely...
Fluctuation or variation of the heartbeat represents momently varying inner emotional tension. Can t...
Considering the highly nonlinear and non stationary features of the ECG signal proven by latest rese...
We analyzed heartbeat-intervals by using our own program of detrended fluctuation analysis (DFA). "A...
Well-established technologies to analyze biological signals including rhythmic heartbeat are availab...
We analyzed the heartbeat interval to test the possibility that the detrended fluctuation analysis (...
We analyzed the heartbeat interval by the detrended fluctuation analysis (DFA) in models and humans....
We analyzed the heartbeat interval by the detrended fluctuation analysis (DFA) in models and humans....
How to quantify the complexity of a physiological signal is a crucial issue for verifying the underl...
The fractal structure of heart rate is usually quantified by estimating a short-term ( inverted ques...
Stress has not been fully defined in terms of neuroscience. But, it might be possible to quantify it...
Detrended fluctuation analysis (DFA) has been shown to be a useful tool for diagnosis of patients wi...
We present several recent studies based on statistical physics concepts that can be used as diagnost...
The aim of this study was to make a method for an early detection of malfunction, e.g., abnormal vib...
Detrended fluctuation analysis (DFA), suitable for the analysis of nonstationary time series, has co...
Chaos and fractal based measurements, such as Detrended Fluctuation Analysis (DFA), have been widely...
Fluctuation or variation of the heartbeat represents momently varying inner emotional tension. Can t...
Considering the highly nonlinear and non stationary features of the ECG signal proven by latest rese...