Improved P-T Algorithm Applied to a Wearable Integrated Physiological Parameters System

This paper presents a wearable physiological parameters monitoring device real time monitoring electrocardiograph (ECG), respiration, blood oxygen saturation, blood pressure, motion state and temperature continuously, online analysis and displaying the result in personal computer. Especially, Improved Pan-Tompkins Algorithm was embedded into wearable physiological parameters monitoring device to detect R peak, and further compute heart rate. Based upon the analysis of QRS frequency, the slope and the threshold decision, the improved algorithm can reliably recognize R peak of QRS complexes. Compared to the traditional Pan-Tompkins, there are three improvements. First one is accurately calculating heart rate even in a slow-moving state; another is wider sampling rate-500 and 1000 sampling rate or any other sampling rate; the last one is effectively avoiding the finite word-length effect during calculation in float type. The improved Pan-Tompkins algorithm makes ECG measurement more accurate and more flexible. Based on 20 volunteers´ experimental tests, the fully-integration system with improved Pan-Tompkins Algorithm can accurately monitor the real-time R peak and other physiological indicators in a calm status, even in slow-moving status the system works well.