Algorithm for data reduction and automatic analysis of intestinal motility tracings and other smooth biological signals
- 1 January 1989
- journal article
- research article
- Published by Springer Nature in Medical & Biological Engineering & Computing
- Vol. 27 (1), 47-56
- https://doi.org/10.1007/bf02442169
Abstract
An algorithm is presented for the processing of smooth biological signals with an important implicit data reduction. It is a solid basis for an automatic analysis of these signals. The algorithm is based on the approximation of the signals with a linear combination of cubic B-splines. Depending on the parameters, a data reduction of between 8: 1 and 12: 1 can be achieved. The most important differences from conventional biological signal processing methods are the representation of the signal by the coefficients of the linear combination instead of a series of samples and the analysis by calculations of the time of the appearance of patterns instead of iterative searching. The approximation and analysis of long-lasting multichannel signals can be performed online with a modern microprocessor. Approximating the signal with a linear combination of cubic B-splines with equally spaced knots, according to the linear least-squares criterion gives the desired data reduction and an elegant way to perform an automatic analysis. A window calculation scheme makes it possible to handle very long signals online.Keywords
This publication has 12 references indexed in Scilit:
- Pattern-recognition program for analysis of colon myoelectric and pressure dataDigestive Diseases and Sciences, 1987
- THE IRRITABLE OESOPHAGUS—A FREQUENT CAUSE OF ANGINA-LIKE PAINThe Lancet, 1987
- Computer analysis of human esophageal peristalsis and lower esophageal sphincter pressureDigestive Diseases and Sciences, 1986
- Gastrointestinal motility disordersDigestive Diseases and Sciences, 1986
- 24-Hour recording of esophageal pressure and pH in patients with noncardiac chest painGastroenterology, 1986
- Estimation and removal of baseline drift in the electrocardiogramComputers and Biomedical Research, 1985
- Automatic IntegrationPublished by Elsevier ,1984
- Computer-aided analysis of human esophageal peristalsisDigestive Diseases and Sciences, 1984
- A computer-assisted technique for 24-hour esophageal monitoringDigestive Diseases and Sciences, 1982
- The Interdigestive Motor Complex of Normal Subjects and Patients with Bacterial Overgrowth of the Small IntestineJCI Insight, 1977