Chung-Kang Peng
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 Assistant 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 a Visiting Scholar at the
Boston University Physics Department, a Research Affiliate of the
Harvard-MIT Division of Health Sciences and Technology, and an adjunt Distinguished Professor of
Yuan Ze University (Taiwan).
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), 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 (a video interview 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 6,300 times (
h-index: 40).
Email:
peng@chaos.bidmc.harvard.edu