Key result
A microcontroller-based ambulatory system using Bluetooth and GSM networks, combined with a neural network method for motion artifact removal, was developed for remote electrogastrography monitoring.
Describes a novel ambulatory system for wireless electrogastrography monitoring with neural network-based artifact removal.
May enable remote electrogastrography monitoring; leaves open prospective validation before clinical adoption.
Electrogastrography (EGG) is a non-invasive method for recording the electrical activity of the stomach. This paper presents a system designed for monitoring the EGG physiological variables of a patient outside the hospital environment. The signal acquisition is achieved by means of an ambulatory system carried by the patient and connected to him through skin electrodes. The acquired signal is transmitted via the Bluetooth to a mobile phone where the data are stored into the memory and then transferred via the GSM network to the processing and diagnostic unit in the hospital. EGG is usually contaminated by artefacts and other signals, which are sometimes difficult to remove. We have used a neural network method for motion artefacts removal and biological signal separation.
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Haddab et al. (2009) studied Electrogastrography monitoring. Microcontroller-based ambulatory EGG monitoring system was evaluated. A microcontroller-based ambulatory system using Bluetooth and GSM networks, combined with a neural network method for motion artifact removal, was developed for remote electrogastrography monitoring.
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