Abstract
Pain detection using a quick response method is considered an important point that must be considered especially for emergency medicine. This project presents new technique that records the myoelectrical activity of the stomach, which is effective due to its non-invasive nature and its correlation with gastric motility .The procedure was simulated with the aid of MATLAB 7.8 to generate a reference signal and another signal to indicate to the patient’s signal by using signal processing toolboxes -amplified, filtered using low pass filter (LPF).The comparison was carried out by using a step response -to achieve a prompt result and make a direct diagnosis decision. A normal or abnormal reading was illustrated by a corresponding graph with comments .The required system expressions were incorporated into the program code and operational flowcharts were designed for the sequential line of code.
Mohammed, M (2021). Early Detection Of Stomach Pain Using Reflexology. Afribary. Retrieved from https://track.afribary.com/works/early-detection-of-stomach-pain-using-reflexology
Mohammed, Marwa "Early Detection Of Stomach Pain Using Reflexology" Afribary. Afribary, 20 May. 2021, https://track.afribary.com/works/early-detection-of-stomach-pain-using-reflexology. Accessed 26 Dec. 2024.
Mohammed, Marwa . "Early Detection Of Stomach Pain Using Reflexology". Afribary, Afribary, 20 May. 2021. Web. 26 Dec. 2024. < https://track.afribary.com/works/early-detection-of-stomach-pain-using-reflexology >.
Mohammed, Marwa . "Early Detection Of Stomach Pain Using Reflexology" Afribary (2021). Accessed December 26, 2024. https://track.afribary.com/works/early-detection-of-stomach-pain-using-reflexology