Program Development for Choosing a Surgical Treatment Option and Mathematical Prediction of Findings in Patients with Postoperative Median Abdominal Hernias

Abstract

Background: The aim of the study was to develop a mobile program for choosing a method of surgical treatment and mathematical prediction of findings in patients with postoperative median abdominal hernias, sized small to large, using a complex of non-linear mathematical models to help a practicing surgeon. Methods and Results: There has been detected a non-linear dependence of the parameters of the degree of fatigue and the total electrical activity of the abdominal muscles six months after surgery, based on their preoperative values compared to SpO2 values on the preoperative day and on the postoperative Day 7, and compared to SpO2 values under physical simulation of hernia repair and the selected treatment option. Conclusion: A mobile program has been developed for smartphones that implements the recommended choice of hernioplasty technique and predicts typical features of the patient’s postoperative condition.

Keywords

• postoperative median abdominal hernia
• hernioplasty
• mathematical model
• predictive software
• iphone