Title :
Detection of spikes and motility parameters from chaos-like serosal recordings of gastrointestinal myoelectric activities
Author :
Wang, Zhishun ; Chen, J.D.Z.
Author_Institution :
Lynn Inst. for Healthcare Res., Oklahoma City, OK, USA
fDate :
29 Oct-1 Nov 1998
Abstract :
This paper presents the detection of spikes and motility from chaos-like serosal recordings of gastrointestinal myoelectric activities. Three optional methods were developed for different types of recordings, such as gastric, intestinal and colonic myoelectric activities. Applied experiments show that these methods can effectively detect the spikes of the serosal myoelectric recordings and motility of gastrointestinal tract
Keywords :
biological organs; chaos; electromyography; feature extraction; feedforward neural nets; learning (artificial intelligence); medical signal detection; medical signal processing; physiological models; Boolean function; Hodgkin-Huxley type model; blind source separation; chaos-like serosal recordings; colon; gastrointestinal myoelectric activities; gastrointestinal tract motility; motility parameters; nonlinear mapping; slow waves; small bowel; spikes detection; time-delay neural network; Chaos; Electrodes; Equations; Gastrointestinal tract; Instruments; Intestines; Medical services; Neural networks; Nonlinear dynamical systems; Predictive models;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.746184
