Chung-Kang Peng is the Director of the Center for Dynamical Biomarkers at Beth Israel Deaconess Medical Center / Harvard Medical School (BIDMC/HMS). Under his direction the Center for Dynamical Biomarkers researches fundamental theories and novel computational algorithms for characterizing physiological states in terms of their dynamical properties. He is also currently the K.-T. Li Visiting Chair Professor at National Central University (NCU), Visiting Chair Professor at National Chiao Tung University (NCTU) in Taiwan, and Visiting Professor at China Academy of Chinese Medical Sciences in China. During 2012–2014, he served as the founding Dean of the College of Health Sciences and Technology at NCU in Taiwan.
Research
Biomarker development
Peng has extensive expertise in
statistical physics
Statistical physics is a branch of physics that evolved from a foundation of statistical mechanics, which uses methods of probability theory and statistics, and particularly the Mathematics, mathematical tools for dealing with large populations ...
and its application to the study of physiological measures. Along with fellow collaborators he has developed many novel techniques in this area, including:
* Detrended fluctuation analysis (DFA) which is based on statistical physics, measures fractal properties of physiologic signals (cited more than 6,500 times).
* Multiscale entropy (MSE) which measures the complexity of physiological time-series (cited more than 2,600 times).
* An algorithm, based on information theory and statistical physics, for linguistic analysis of symbolic sequences. It has been applied to bio-medical signals, human languages, and DNA sequences. Prof. Peng received the
Calvin & Rose G. Hoffman Prize in 2004 for his contribution of applying the algorithm to analyze the authorship issue of
Shakespeare
William Shakespeare ( 26 April 1564 – 23 April 1616) was an English playwright, poet and actor. He is widely regarded as the greatest writer in the English language and the world's pre-eminent dramatist. He is often called England's nation ...
.
* ECG-based cardiopulmonary coupling analysis for the study of sleep. This algorithm has been patented in the U.S. and Europe. An improved algorithm that is based on heart rate variability to detect sleep-disordered breathing has received FDA approvals in the U.S., Taiwan, and China.
* An index for dynamic cerebral autoregulation.
Peng's publications have been cited more than 37,000 times (h-index: 73). He was the recipient of the 10-Years (2002-2012) Innovator Award from BIDMC in 2013, and Distinguished Alumnus Award of NCTU in 2015.
Physionet
Peng is one of the founding members of the PhysioNet resource. PhysioNet offers free web access to large collections of recorded physiologic signals and related open-source software. PhysioNet has more than 1 million visitors, and more than 200 TB of data downloaded each year.
Biomedical device development
Jointly with the HTC Corporation, Peng led a team, called Dynamical Biomarkers Group (DBG), of physicians, scientists and engineers to compete in the Qualcomm Tricorder XPRIZE international competition, the biggest biomedical prize in history. Since its announcement in 2012, this XPRIZE attracted the interest of more than 300 teams around the world. The goal of the competition is to develop a mobile solution for end-patients to diagnose their health conditions and monitor their vital signs. The
Tricorder
A tricorder is a fictional handheld sensor that exists in the ''Star Trek'' universe. The tricorder is a multifunctional hand-held device that can perform environmental scans, data recording, and data analysis; hence the word "tricorder" to refer ...
name is based on the medical diagnostic device o
Star Trekfame. After 4 years of competition and several rounds of eliminations, DBG is one of the top 2 teams that advanced to the final round of competition, and received a $1 million prize for its achievement in April 2017.
References
{{DEFAULTSORT:Peng, Chung-Kang
Living people
20th-century births
Chinese physicists
Harvard Medical School faculty
Year of birth missing (living people)