The identification of peaks in physiological signals. Export

@article{Todd:1999, abstract = {The identification of peaks is fundamental in the processing of physiological signals. For example, it is common to the analysis of electrocardiograms, electroencephalograms, sympathetic neuronal activity, pulse oximetry, respiratory movement, hormone pulse secretion, and even chromatography. Often it is necessary to detect peaks in real time, but the task is frequently complicated by baseline wander and other interference. Current approaches to the problem tend to be complicated, specific to a particular domain, and reliant on several tunable parameters. There is a need for a simple and general mathematical formalization of peaks and troughs that has easily examinable properties and is readily implementable as an efficient algorithm. In this paper we present such a mathematical model together with an algorithm for the detection of peaks and troughs. We illustrate the generality of the method with some actual physiological data.}, author = {Todd, B. S.}, citeulike-article-id = {1627765}, journal = {Comput Biomed Res}, keywords = {algorithms, and, apneaphysiopathology, bibtex-import, biological, biometry, child, computers, electrocardiography, humans, infant, mechanics, models, newborn, physiology, respiratory, signal, tachycardiaphysiopathology, transduction}, local-url = {file://localhost/Users/jannis/Documents/Papers/1999/Todd/Comput\%20Biomed\%20Res\%201999\%20Todd.pdf}, month = {Aug}, number = {4}, pages = {322--35}, posted-at = {2007-09-06 15:22:46}, priority = {2}, title = {The identification of peaks in physiological signals.}, volume = {32}, year = {1999} }

TY - JOUR ID - Todd:1999 L3 - citeulike-article-id:1627765 N2 - The identification of peaks is fundamental in the processing of physiological signals. For example, it is common to the analysis of electrocardiograms, electroencephalograms, sympathetic neuronal activity, pulse oximetry, respiratory movement, hormone pulse secretion, and even chromatography. Often it is necessary to detect peaks in real time, but the task is frequently complicated by baseline wander and other interference. Current approaches to the problem tend to be complicated, specific to a particular domain, and reliant on several tunable parameters. There is a need for a simple and general mathematical formalization of peaks and troughs that has easily examinable properties and is readily implementable as an efficient algorithm. In this paper we present such a mathematical model together with an algorithm for the detection of peaks and troughs. We illustrate the generality of the method with some actual physiological data. IS - 4 JF - Comput Biomed Res EP - 35 TI - The identification of peaks in physiological signals. VL - 32 SP - 322 KW - algorithms KW - and KW - apneaphysiopathology KW - bibtex-import KW - biological KW - biometry KW - child KW - computers KW - electrocardiography KW - humans KW - infant KW - mechanics KW - models KW - newborn KW - physiology KW - respiratory KW - signal KW - tachycardiaphysiopathology KW - transduction AU - Todd, BS PY - 1999/Aug// ER -