Objective: Through the application of the physiological indicator of heart rate variability by some equipments, to assess the psychological quality objectively, quickly and accurately instead of subjectively in the cu...Objective: Through the application of the physiological indicator of heart rate variability by some equipments, to assess the psychological quality objectively, quickly and accurately instead of subjectively in the current methods of the assessment. Methods: Apply the new psychological assessment system to collect the signal of heart rate variability which will be converted to waveforms in time-domain and frequency-domain to analyze people's psychological state. Results: According to heart rate variability parameters in the time domain and frequency domain, we can analyze the autonomic nervous system functions objectively and accurately, then assess mental state. Conclusion: Heart rate variability plays an important role in the psychological assessment system, which has broad prospects for the future development.展开更多
This paper addresses estimation and its asymptotics of mean transformation θ = E[h（X）] of a random variable X based on n lid. observations from errors-in-variables model Y = X＋ v, where v is a measurement error wi...This paper addresses estimation and its asymptotics of mean transformation θ = E[h（X）] of a random variable X based on n lid. observations from errors-in-variables model Y = X＋ v, where v is a measurement error with a known distribution and h（.） is a known smooth function. The asymptotics of deconvolution kernel estimator for ordinary smooth error distribution and expectation extrapolation estimator are given for normal error distribution respectively. Under some mild regularity conditions, the consistency and asymptotically normality are obtained for both type of estimators. Simulations show they have good performance.展开更多
文摘Objective: Through the application of the physiological indicator of heart rate variability by some equipments, to assess the psychological quality objectively, quickly and accurately instead of subjectively in the current methods of the assessment. Methods: Apply the new psychological assessment system to collect the signal of heart rate variability which will be converted to waveforms in time-domain and frequency-domain to analyze people's psychological state. Results: According to heart rate variability parameters in the time domain and frequency domain, we can analyze the autonomic nervous system functions objectively and accurately, then assess mental state. Conclusion: Heart rate variability plays an important role in the psychological assessment system, which has broad prospects for the future development.
基金This research is supported by the National Natural Science Foundation of China(Grant No. 19771011 and 10071009) the RFDP (No. 20020027010) of MOE.
文摘This paper addresses estimation and its asymptotics of mean transformation θ = E[h（X）] of a random variable X based on n lid. observations from errors-in-variables model Y = X＋ v, where v is a measurement error with a known distribution and h（.） is a known smooth function. The asymptotics of deconvolution kernel estimator for ordinary smooth error distribution and expectation extrapolation estimator are given for normal error distribution respectively. Under some mild regularity conditions, the consistency and asymptotically normality are obtained for both type of estimators. Simulations show they have good performance.
