Chung-Kang Peng, Ph.D., is the Co-Director of the Rey Institute
for Nonlinear Dynamics in Medicine at the Beth Israel
Deaconess Medical Center and Associate Professor of Medicine at
the Harvard
Medical School. He is also the Associate Director of the National
Research Resource
for Complex Physiologic Signals (PhysioNet) funded by the National Institute of
Biomedical Imaging and Bioengineering and National Institute of
General Medical Sciences of the National Institutes of Health. Dr. Peng is also
an adjunt Distinguished Professor of Yuan Ze University
(Taiwan), and a Visiting Professor of Peking University (China).
Dr. Peng has expertise in statistical physics and its application to the study of physiological measures. He has been working at the interface of statistical physics and biology since he was a graduate student. Over the years, he developed several useful computational techniques, including the detrended fluctuation analysis (DFA) (see introduction by Wikipedia), that originated from statistical physics to measure properties in physiologic signals.
Recently, Dr. Peng and colleagues also developed the multiscale entropy (MSE) analysis approach to measure the complexity of complex signals (Phys. Rev. Lett. 89:068102, 2002; Adv. Adaptive Data Analy. 1:61, 2009), a new linguistic type of analysis for bio-medical signals (Phys. Rev. Lett. 90:108103, 2003), a measurement of time reversal asymmetry in heart rate time series (Phys. Rev. Lett. 95:198102, 2005), an ECG-based cardiopulmonary coupling analysis for the study of sleep (Sleep 28:1151-1161, 2005), and an index for dynamic cerebral autoregulation (Biomed Eng Online 3:39, 2004; online analysis service avaiable).
These new approaches have been highlighted in Nature News and Views (Nature 419: 263, 2002), the American Institute of Physics News Update (Aug. 1, 2002), the Boston Globe (Aug. 5, 2003), the Harvard Focus (Mar. 8, 2002; Sep. 16, 2005; Dec. 2, 2005), and the Voice of Amreica News (in Chinese). These new approaches have a wide range of applications in multiple disciplines, such as mathematics, physics, economics, biology and clinical medicine. According to the Science Citation Index, Dr. Peng's publications have been cited more than 8,700 times (h-index: 45).
cpeng_at_bidmc_dot_harvard_dot_edu