scispace - formally typeset
C

Chung-Kang Peng

Researcher at Beth Israel Deaconess Medical Center

Publications -  235
Citations -  47476

Chung-Kang Peng is an academic researcher from Beth Israel Deaconess Medical Center. The author has contributed to research in topics: Sleep apnea & Heart rate variability. The author has an hindex of 75, co-authored 231 publications receiving 41523 citations. Previous affiliations of Chung-Kang Peng include Harvard University & Peking University.

Papers
More filters
Patent

Diagram building system and method for a signal data decomposition and analysis

TL;DR: In this paper, a diagram building system for processing a signal with a time period is presented, which comprises an input device for receiving the signal, a computing device, dividing the signal into a plurality of window scales according to one of time interval scales; decomposing the window scales via HHT algorithm to generate a pluralityof quantized windows according to different components; then, calculating the value of quantization windows with the same single-frequency component through a quantifying function to generate the plurality of specific frequency values; an outputting device, sequentially arranging the specific frequency value according
Journal ArticleDOI

Construction of functions with prescribed multiscale asymmetry. Asymmetric Weierstrass function

TL;DR: It is suggested that being able to produce a category-theoretical description may be both necessary and sufficient to define a complete biologic system, as distinguished from either a biophysical or biochemical one.
Proceedings ArticleDOI

Long range correlations in healthy dynamics and their breakdown with disease: A new paradigm for physiological monitoring

TL;DR: A new framework for conceptualizing and quantitating the dynamics of health and disease, using neuroautonomic regulation of the heartbeat as a model system, based on two postulates: complex physiological systems operate far from equilibrium and demonstrate long-range correlations indicative of a fractal (scale-invariant) mechanism.
Posted ContentDOI

Phenotyping Neuropsychiatric Symptoms Profiles of Alzheimer's Disease Using Cluster Analysis on EEG Power

TL;DR: The results suggest that EEG delta band power correlates to behavioral and psychological symptoms among patients with mild Alzheimer's disease and the clustering approach of EEG signals may provide a novel and cost-effective method to differentiate the severity of neuropsychiatric symptoms and/or predict the prognosis for Alzheimer's patients.